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Operations Research and Statistics (ORS 2011)

Business Conference - Operations Research and Statistics (ORS 2011)
Business Conference

By : Global Science & Technology Forum

Date : 2011

Location : Malaysia / Penang

PDF 179p
Description :

The Operations Research and Statistics conference focus on the latest research and application on the scientific approach to analyzing problems and making decisions.

Keywords :

product estimator, ratio estimator, regression estimator, survival rate, growth rate, African catfish, furazolidone, decision making, risk analysis interval-valued fuzzy number, TOPSIS, intuitionistic fuzzy sets, ELECTRE, Pareto-optimal solution; fuzzy efficient solution, operations conference proceedings

Keywords inside documents :

model ,system ,phase ,energy ,power ,programming ,maintenance ,method ,production ,solution ,forecast ,obesity ,dynamics ,problem ,fuzzy ,interactions ,african ,nearest ,catfish ,weights

Associated industries : Business Research - Business Research - Mathematics -
Product/ documentation details
Optimized cost and dosage of kanamycin against Edwardsiellosis in African catfish...

Company Description : This study was conducted to optimize cost and dosage of kanamycin as growth promoter and antimicrobial agent in controlling Edwardsiellosis in Africancatfish (Clarias gariepinus). African catfish were given fish feed in which incorporatedwith kanamycin at concentration of 4, 8, 16, 32 and 64 mg/kg of fish for 7 days before intraperitonealy (i.p) exposed to Edwardsiella tarda. Survival and daily growth rate of the African catfish were recorded everyday continually until 21 days post-infection. The results of the present study were analysis using response surface method to determine the optimum cost and dosage of kanamycin for the highest survival and daily growth rate of the fish. In the present study, the optimum cost and dosage for 76.5 % survival rate and 35.3 % daily growth rate of African catfish was RM 2.00/kg of fish and 10.2 mg/kg of fish, respectively. In term of cost effectiveness, kanamycin showed the potential to be used as antimicrobial agent in aquaculture.

Product Type : Business Conference

Author : Various

PDF 5p

Languages : English

Proceedings from The Operations Research and Statistics (ORS 2011) conference.

 

Originally used by military planners during World War II, Operations Research and Statistics is now widely used in private and government sectors, business, industry and society today. Used to improve decision-making and efficiency, Operations Research and Statistics is the scientific approach to analyzing problems and making decisions.

Researchers faced with new problems must determine the most effective techniques, given the nature of the system, constraints (time and physical) and improvement.

 


Abstracts of papers included in The Operations Research and Statistics (ORS 2011) conference proceedings.

 

1. Adjustment of the Auxiliary Variable(s) for Estimation of a Finite Population Mean

Ayesha Nazuk, NBS, National University of Sciences and Technology, IBD, Pakistan

Sadia Nadir, Department of Basic Sciences, Rippah International University,
IBD, Pakistan

Javid Shabbir, Dept.of Stats, Quaid-i-Azam Uni., IBD, Pakistan

 

In this paper we have worked on estimators by Prasad (1986) and Lui (1991). We have introduced estimators efficient than estimators proposed by Chakrabarty (1979), Singh and Singh (1997), Singh (2002) and Singh et al. (2006).


2. Determining Optimum Strata Boundaries for Skewed Population with Log-normal Distribution

M.G.M. Khan and Dinesh Rao, School of Computing, Information & Mathematical Sciences, The University of the South Pacific, Suva, Fiji

A.H. Ansari and M. J. Ahsan, Department of Statistics and Operations Research, Aligarh Muslim University, Aligarh, India

 

The method of choosing the best boundaries that make strata internally homogeneous as far as possible is known as optimum stratification. To achieve this, the strata should be constructed in such a way that the strata variances for the characteristic under study be as small as possible. If the frequency distribution of the study variable is known, the Optimum Strata Boundaries (OSB) could be obtained by cutting the range of the distribution at suitable points. In this paper the problem of finding the OSB for a skewed population with standard Log-normal distribution is studied. The problem is then redefined as the problem of determining Optimum Strata Widths (OSW) and is formulated as a Mathematical Programming Problem (MPP) that seeks minimization of the variance of the estimated population parameter under Neyman allocation subject to the constraint that sum of the widths of all the strata is equal to the total range of the distribution. The formulated MPP turns out to be a multistage decision problem that can be approached by dynamic programming technique. A numerical example is presented to illustrate the application and computational details of the proposed method. The results are compared with the Dalenius and Hodge's cum f method, which reveals that the proposed technique is more efficient and also useful for a skewed population when the other methods may fail to obtain OSB.

 

3. Optimized cost and dosage of Allium sativum against Edwardsiellosis in African catfish

Lee Seong Wei, Faculty Agro Industry and Natural Resources, Universiti Malaysia Kelantan, Pengkalan Chepa, Malaysia

Wendy Wee, Department of Fisheries Science and Aquaculture, Faculty Agrotechnology and Food Science, Terengganu, Malaysia

Marinah Muhammad, Faculty Agro Industry and Natural Resources, Universiti Malaysia Kelantan, Pengkalan Chepa, Malaysia

 

This study was conducted to optimize cost and dosage of Allium sativum extract as growth promoter and antimicrobial agent in controlling Edwardsiellosis in African catfish (Clarias gariepinus). African catfish were given fish feed in which incorporated with A. sativum extract at dosage 8 g and 16 g/kg of fish for 7 days before intraperitonealy (i.p) exposed to Edwardsiella tarda. Survival and daily growth rate of the African catfish were recorded everyday continually until 21 days post-infection. The results of the present study were analysis using response surface method to determine the optimum cost and dosage of A. sativum extract for the highest survival and daily growth rate of the fish. In the present study, the optimum cost and dosage of A. sativum extract for 63.5 % survival rate and 32.6 % daily growth rate of African catfish was RM 0.297/kg of fish and 14 g/kg of fish, respectively. In term of cost effectiveness, A. sativum extract showed the potential to be used as antimicrobial agent in aquaculture.

 

4. Optimization cost and Citrus microcarpa extract dosage for aquaculture uses

Lee Seong Wei, Faculty Agro Industry and Natural Resources, Universiti Malaysia Kelantan, Pengkalan Chepa, Malaysia

Wendy Wee, Department of Fisheries Science and Aquaculture, Faculty Agrotechnology and Food Science, Terengganu, Malaysia

Marinah Muhammad, Faculty Agro Industry and Natural Resources, Universiti Malaysia Kelantan, Pengkalan Chepa, Malaysia

 

This paper described optimization of cost and dosage of Citrus microcarpa extract against Edwardsiellosis in African catfish (Clarias gariepinus) culture. This study was carried out to determine the minimum cost and dosage of furazolidone and C. microcarpa extract for the maximum survival and growth rate of African catfish infected with Edwardsiella tarda. African fish were treated with C. microcarpa extract at dosage of 2, 4 and 8 g/kg of fish for one week before intraperitoneally infected with Edwardsiella tarda. The infected fish were continually treated with medicated feed for the next three weeks. Survival and daily growth rate of the experimental fish were recorded at the end of experiment. Optimization of cost and dosage of C. microcarpa extract based on survival and daily growth rate of the fish were carried out using response surface methodology. In the present study, the optimum cost and dosage of C. microcarpa extract for 100 % survival rate and 38.6 % daily growth rate of African catfish were RM 0.05 per kg of fish and 4.8g per kg of fish, respectively. Based on cost and effectiveness of C. microcarpa in controlling Edwardsiellosis in African catfish indicated the huge potential of thisextract as antimicrobial agent as well as growth promoter for aquaculture use.

 

5. Optimization cost and furazolidone dosage for aquaculture uses

Lee Seong Wei, Faculty Agro Industry and Natural Resources, Universiti Malaysia Kelantan, Pengkalan Chepa, Malaysia

Wendy Wee, Department of Fisheries Science and Aquaculture, Faculty Agrotechnology and Food Science, Terengganu, Malaysia

Marinah Muhammad, Faculty Agro Industry and Natural Resources, Universiti Malaysia Kelantan, Pengkalan Chepa, Malaysia

 

This paper described optimization of cost and dosage of furazolidone in controlling Edwardsiellosis in African catfish (Clarias gariepinus) culture. This study was carried out to determine the minimum cost and dosage of furazolidone for the maximum survival and growth rate of African catfish infected with Edwardsiella tarda. African fish were treated with furazolidone at dosage of 16, 32, 64 mg/kg of fish for one week before intraperitoneally infected with Edwardsiella tarda. The infected fish were continually treated with medicated feed for the next three weeks. Survival and daily growth rate of the experimental fish were recorded at the end of experiment. Optimization of cost and dosage of furazolidone based on survival and daily growth rate of the fish were carried out using response surface methodology. In the present study, the optimum cost and dosage of furazolidone for 40.2 % survival rate and 28.5 % daily growth rate of African catfish were RM 219.8 per kg of fish and 16.6 mg per kg of fish, respectively. Based on cost and effectiveness of furazolidone in controlling Edwardsiellosis in African catfish indicated this antibiotic is not promising as antimicrobial agent as well as growth promoter for aquaculture use.

 

6. Optimized cost and dosage of kanamycin against Edwardsiellosis in African catfish (Clarias gariepinus)

Lee Seong Wei, Faculty Agro Industry and Natural Resources, Universiti Malaysia Kelantan, Pengkalan Chepa, Malaysia

Wendy Wee, Department of Fisheries Science and Aquaculture, Faculty Agrotechnology and Food Science, Terengganu, Malaysia

Marinah Muhammad, Faculty Agro Industry and Natural Resources, Universiti Malaysia Kelantan, Pengkalan Chepa, Malaysia


This study was conducted to optimize cost and dosage of kanamycin as growth promoter and antimicrobial agent in controlling Edwardsiellosis in Africancatfish (Clarias gariepinus). African catfish were given fish feed in which incorporatedwith kanamycin at concentration of 4, 8, 16, 32 and 64 mg/kg of fish for 7 days before intraperitonealy (i.p) exposed to Edwardsiella tarda. Survival and daily growth rate of the African catfish were recorded everyday continually until 21 days post-infection. The results of the present study were analysis using response surface method to determine the optimum cost and dosage of kanamycin for the highest survival and daily growth rate of the fish. In the present study, the optimum cost and dosage for 76.5 % survival rate and 35.3 % daily growth rate of African catfish was RM 2.00/kg of fish and 10.2 mg/kg of fish, respectively. In term of cost effectiveness, kanamycin showed the potential to be used as antimicrobial agent in aquaculture.


7. A Risk Analysis Method Based on Interval-Valued Fuzzy Numbers for Improving Patient Safety

Hung-Lin Lai, Graduate Institute of Business and Management /Department of Information Management, Chang Gung University / Lee-Ming Institute of Technology, Taoyuan, Taiwan

Ting-Yu Chen, Department of Industrial and Business Management, College of Management, Chang Gung University, Taoyuan, Taiwan

 

As the importance of patient safety increases for hospital management, improvements in patient safety are needed to reduce this high incidence of medical error. Research on patient safety and medical errors shows that errors and the adverse events may mainly resulted by health care providers, equipment and the quality management system. Most studies focused their research on the risk of patient individual in health care, however, facing patient safety problems, a hospital manager must consider the risk of the organization while making improving decision. It will be relative with the cost-effectiveness of a health care organization. Here we used a TOPSIS (technique for order preference by similarity to ideal solution) approach to manage the risk of a health care organization in linguistic terms in the environment of interval valued fuzzy numbers (IVFNs). Rather than calculating the distance between the alternatives and the positive/negative ideal solution in a TOPSIS approach, we use the similarity measure between IVFNs of the alternatives’ risk and the risk of the positive/negative ideal solution to help hospital managers analyze risks in an uncertain and complex situation and more easily determine the best alternative.

 

8. Inclusion of wind power plants in the problem of preventive maintenance scheduling of an electric production system

Salvador Perez Canto, Technical School of Industrial Engineering, University of Malaga, Malaga, Spain

Alberto Albahari, Technical School of Industrial Engineering, University of Malaga, Malaga, Spain

 

The problem of power plant preventive maintenance scheduling (PMS) is approached in this paper. It is aimed at evaluating which generators must stop production to be checked periodically for safety. It is crucial because a failure in a power plant may cause a general breakdown in an electric grid. This situation might result in unsatisfying the electricity demand of customers. The objective is to perform PMS in such a manner that the reliability of the system is maximized. The model reached considers the integration of wind power plants in a global electric generation system comprising thermal, hydroelectric, and nuclear power plants. This is an optimisation problem. 0/1 mixed integer linear programming is used to solve the final model. An application example is included.

 

9. Intuitionistic Fuzzy ELECTRE Method and Experimental Analysis on Contradiction Rates

Ming-Che Wu, Graduate Institute of Business and Management, College of Management, Chang Gung University, Taiwan

Ting-Yu Chen, Department of Industrial and Business Management, College of Management, Chang Gung University, Taiwan

 

The purpose of this paper is to extend the ELECTRE method based on intuitionistic fuzzy sets in decision analysis and experimental analysis on the proposed methods’ contradiction rate. We identify different kinds of concordance and discordance sets, e. g. concordance, midrange concordance, weak concordance, discordance, midrange discordance and weak discordance for each ordering at the proposed methods. An experimental analysis of intuitionistic fuzzy ELECTRE methods is conducted with discussions on contradiction rate. The proposed methods’ contradiction rates are lower than other MCDM methods according the simulation results, and they have a decreasing trend with the number of attributes.

 

10. A Numerical Method for the Continuous Leontief Production Model with Quadratic Objective Function

Ching-Feng Wen, Center for General Education, Kaohsiung Medical University, Kaohsiung, Taiwan

Chia-Cheng Liu, Department of Management and Information Technology, Vanung University, Taoyuan, Taiwan

Yan-Kuen Wu, Department of Management and Information Technology, Vanung University, Taoyuan, Taiwan

Yung-Yih Lur, Department of Management and Information Technology, Vanung University, Taoyuan, Taiwan

 

A continuous Leontief production model with quadratic objective function is discussed in this paper. We propose a discrete approximation procedure to find numerical solutions of this model. By our constructive manner, the provided computational procedure can yield feasible numerical solutions with pre-defined error bound. Some numerical examples are provided to implement our proposed method and to show the quality of the proposed error bound.

 

11. Pareto-optimal solution for multiple objective linear programming problems with fuzzy goals using a new two-phase approach

Yan-Kuen Wu, Department of Management and Information Technology
Vanung University, Taoyuan, Taiwan

Ching-Feng Wen, General Education Center, Kaohsiung Medical University, Kaohsiung City, Taiwan

Yung-Yih Lur, Department of Management and Information Technology, Vanung University, Taoyuan, Taiwan

 

Several methods have been addressed to attain fuzzyefficient solution for the multiple objective linear programming problems with fuzzy goals in the literature. Recently, Jimenez and Bilbao showed that a fuzzy-efficient solution may not guarantee to be Pareto-optimal solution in the case that one of fuzzy goals is fully achieved. To show this point they employ Guu and Wu’s two-phase approach to obtain a fuzzy-efficient solution first, then a model like a conventional goal programming (GP) problem is proposed for finding a Pareto-optimal solution. In this study, a new two-phase approach is proposed to find a Paretooptimal solution for the multiple objective linear programming problems with fuzzy goals without relying on the results of original two-phase approach. We also show that the optimal solution yielded from this new two-phase approach is Paretooptimal solution.

 

12. The Economic Impacts of a Private University on the Local Economy

Javad Gorjidooz, Ph.D., Embry-Riddle Aeronautical University, Willow Creek Road, Prescott Arizona

Bijan Vasigh, Ph.D., Embry-Riddle Aeronautical University, Daytona Beach, Florida


This report provides an assessment for FY 2010 of the economic contribution of Embry-Riddle Aeronautical University (ERAU)-Prescott Campus to Yavapai County, Arizona. Three aspects of economic impact analyses are demonstrated: direct, indirect and induced. The analysis describes the sources of funds received by the University and how they are dispersed in the form of compensations to employees, students and the local economy. ERAU is a major contributor to the social and economic progress of the people in Yavapai County. An analysis of the economic impacts associated with the spending of the University was conducted using IMPLAN input-output modeling software. Areas of impact considered were limited to four: University operations, University payroll, student spending, and visitor spending. The purpose of this report is to identify and assess the economic impacts that may result from the University’s operations on the local economy.

 

13. Development of a Discrete Event Simulation Model to Evaluate Maintenance Strategy at a Vehicle Service Centre

K. Ilyas, Department of Modelling and Industrial Computing, Faculty of Computer Science and Information System, Universiti Teknologi Malaysia, Johor Darul Takzim, Malaysia

A. A Samah, Department of Modelling and Industrial Computing, Faculty of Computer Science and Information System, Universiti Teknologi Malaysia, Johor Darul Takzim, Malaysia

H. A Majid, Department of Modelling and Industrial Computing, Faculty of Computer Science and Information System, Universiti Teknologi Malaysia, Johor Darul Takzim, Malaysia
N.K. Ibrahim, Department of Industrial Computing, Faculty of Information and Communication Technology, Universiti Teknikal Melaka, Melaka, Malaysia

 

This study concerns on the development of a discrete event simulation model which is used to experiment a set of maintenance strategy at a Vehicle Inspection Centre. The maintenance strategies are evaluated in terms of customer waiting time. The construction of a computer simulation model is described in this paper where structural and process flow of a Vehicle Inspection Centre were identified and modeled. The simulation model is then refined by including several maintenance strategies. Preliminary results on customer waiting time based on identified maintenance strategies are presented to provide initial findings of the study.

 

14. Sustainability of Self Sufficiency of Rice Policy in Malaysia under a Changing Environment

Emmy Farha Alias, Research Officer, Kusairi Mohd. Noh, Research Fellow

Fatimah Mohamed Arshad, Director Institute of Agricultural and Policy Studies, Universiti Putra Malaysia, Serdang, Selangor, Malaysia

Muhammad Tasrif, Director Center for Research on Energy, School of Architecture, Planning and Policy Development, Institut Teknologi Bandung, Bandung, Indonesia


Malaysia’s stance on food security is largely translated in terms of achieving self-sufficiency in rice production at about 65-70% of the local requirement. Since Malaysia does not have the comparative advantage in rice production, it implements a wide range of market interventions to achieve the intended level of rice production. The policy instruments include among others: guaranteed minimum price for paddy, price control, price and input subsidies. The future scenario of paddy production is clouded with weather changes which affect soil fertility and water availability. This paper examines the influence of major intervention instruments (input subsidy and R&D investment) as well as climate change on the country’s effort to achieve self sufficiency in rice. A system dynamics model is applied to analyse the causal and feedback relationships of these variables in the paddy production system framework. The study shows that Malaysia may not be able to sustain the targeted self sufficiency level without adequate R&D to address the production constraints particularly below-optimum productivity and the threats of climate changes. The consumption of rice on the other hand continues to rise due to increase in population.

 

15. Efficiency Analysis of OECD Public Education Spending

Habip Koçak, Operations Management, Department of Econometrics, Marmara University, Istanbul, Turkey

Ahmet Mete Çilingirtürk, Statistics, Department of Econometrics, Marmara University, Istanbul, Turkey

 

Efficient public finance budgeting is a major challenge for governments. Monetary output based efficiency analysis do not present, how well they overcome this aim, because public utility exceeds quantitative outputs in social societies. However, PISA research measures the quality of the education service. So, it is possible to analyze the efficiency of the quality of public finance in education sector using well known Data Envelopment Analysis on OECD (Organization for Economic Co-operation and Development) countries data. Expected results are that neither the “monetary input” nor the “physical input” efficiency studies deliver consistent results which clearly limits the political usefulness of such studies, e.g. the potential range for expenditure cuts remains unclear. Nevertheless such studies are regarded as a valuable starting point for political discussion.

The aim of this paper is to update the efficiency scoring of the OECD countries according to the current (2010) PISA scores. Furthermore, it aims also to show that the BBC model which do not have VRS (Variable Returns to Scale) assumption and convexity constraits for inputs will result the same country classification as in literature without the usage of environmental variables.

 

16. Estimation of Efficient Regression Model Using a Multi-Objective Procedure

 

17. Identifying Significance Test Using STestMAP

Tang Howe Eng, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Malaysia
Lau Ung Hua, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Malaysia
Foo Kien Kheng, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Malaysia
Liew Chin Ying, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Malaysia

 

This study aims to investigate the effects of using STestMAP in identifying correct significance test. STestMAP or Statistical Test through MultimediA Procedure is a visual tool devised specifically for research students and researchers to assist them in identifying the correct significance tests. To elicit the data, the experimental design was employed in which the respondents were randomly assigned to experimental and control groups. A prior knowledge test was administered to both groups followed by a pre-test. After that, different treatment was given to the two groups and the post test was administered at the end of the treatment. The sample consisted of forty-nine respondents from two public universities in Malaysia. Quantitative analysis was used to analyze the data. The Wilcoxon Signed Rank Test revealed significant differences in the pre-test and post-test for both the control group and experimental group. The Mann- Whitney U Test indicated insignificant difference when the gains for both groups were compared. This study concludes with some discussions on the findings and some suggestions for future research.

 

18. Exploring the effects of interventions to combat childhood obesity: inducing behavioural change in eating habits

Brian Dangerfield, Salford , Business School , University of Salford, Maxwell Building, United Kingdom

Norhaslinda Zainal Abidin, Salford Business, School University of Salford, Maxwell Building, United Kingdom

 

The  prevalence  of  English  child  obesity  has increased especially  in the 1990’s. Due  to  the many negative impacts of obesity, such as the cost and health consequences,  an  urgent  solution  is  needed  to  reverse  current  trends.  This study focuses on behavioral changes looking at improvements in eating behavior. It is easier and sound  logically  to attempt changes  in  behavior  compared  to  environmental  changes which  can  be  a  costly  and  complicated  process.  Most  of obesity  research  concerned  with  interventions  is  normally conducted  in  a  real-life  setting  and  using  randomized  controlled trials, but this demands time and cost. Due to these constraints,  it  is  important  to  embrace  other  appropriate methods  and  computer  simulation  is  one  which  offers considerable potential.

This  study  highlights  the  capability  of  system  dynamics simulation modeling to evaluate obesity interventions looking at  reversing  the  trends  of weight,  body mass  index  and  the prevalence  of  obesity  in  children.  Obesity  is  a  complex problem  in  the  real-life  context.  System  dynamics  has  the  capability  to  assess  non-linear  dynamic  systems,  which involve  time delays and feedback processes and much useful information  can  be  gleaned  from  a  single  analytical environment.  Output  runs  from  the modelling  show  that  an increase  in energy  intake from food consumption is the main reason  behind  the  increases  in weight,  body mass  index  and prevalence of obesity  in a sample of English boys aged 11 to 15  years. Reducing  the amount of energy derived  from  food consumption  is  a  high  leverage  solution  to  the  obesity problem.

 

19. Simulating and Selecting the best Appointment System of an Outpatient Department

Mahmoud Alrefaei, Department of Mathematics, Statistics and Physics, Qatar University, Doha, Qatar
Alaa Abu Nahiah, Department of Mathematics, Statistics and Physics, Qatar University, Doha, Qatar
Abeer Abu-Lebda, Department of Mathematics, Statistics and Physics, Qatar University, Doha, Qatar
Danya Khayal, Department of Mathematics, Statistics and Physics, Qatar University, Doha, Qatar

 

In this paper, we model and compare several appointment systems for outpatient department in a healthcare system. The objective is to design an appointment system that minimizes the average waiting time per patient and at the sametime uses the resources effectively by maximizing the doctor utilization. The problem is modeled as a multi-objective optimization problem. We propose a raking and selection procedures to construct a Pareto set that consists of nondominated systems with a predetermined level of confidence. The procedure is implemented on an outpatient clinic at Doha Hospital Clinics by modeling and simulating six appointment systems using ARENA and compares them to select the best ones.

 

20. Phase Transition in Ferromagnetic Lattice Models on a Cayley Tree with Non-uniform External Magnetic Fields

NASIR GANIKHODJAEV, Department of Computational and Theoretical Sciences, Faculty of Science, IIUM, 25200, Kuantan, Malaysia

 

In this article we study the phase transition phenomenon for the Ising and Potts models under the action of a non-uniform external magnetic field hx, x  V, where V is the set of vertices of the Cayley tree. We show that both models on the Cayley tree with –J < inf {hx: x V} < sup{ hx: x V} < J, have a first-order phase transition.

 

21. Ising Model on a General Cayley Tree with Competing Next-nearest-neighbour Interactions

NASIR GANIKHODJAEV, Department of Computational and Theoretical Sciences, Faculty of Science, IIUM, 25200, Kuantan, Malaysia

SITI FATIMAH ZAKARIA, Department of Computational and Theoretical Sciences, Faculty of Science, IIUM, 25200, Kuantan, Malaysia


We study the Ising model on a general Cayley tree of arbitrary order and produce  the phase diagram with competing interactions  prolonged  next-nearest-neighbour  Jp and  one-level k-tuple  next-nearest-neighbour  Jo. Vannimenus  proved  the existence of modulated phase in the phase diagram of Ising model with  competing  nearest-neighbour  interaction  J1  and  prolonged next-nearest-neighbour  interactions  Jp,  as  found  for  similar models  on  periodic  lattices.

 

22. Multidimensional Mapping for Potts Model With Competing Interactions

Nasir Ganikhodjaev, Department of Computational and Theoretical Science
Faculty of Science, IIUM, Kuantan, Malaysia

Mohd Hirzie Mohd Rodzhan, Department of Computational and Theoretical Science Faculty of Science, IIUM, Kuantan, Malaysia


 

We  study  the  phase  diagram  for  Potts  model  on  a Cayley tree of arbitrary order k with competing nearest-neighbor interactions  J1,  prolonged  next  nearest  neighbor  interactions  Jp and one  level next nearest neighbors  interaction J0. To perform this  study,  an  iterative  scheme  similar  to  that  appearing  in  real space  renormalization  group  frameworks  is  established;  it  recovers as particular case, previous works by Ganikhodjaev et al  for k = 2. The phase  diagram  is  studied  for  several ranges of the  competing  parameters  showing  the  appearance  of  several  features and modulated phase arising from the frustration effects introduced by the one-level next nearest neighbor interaction J0.

 

23. Potts Model with Competing Interactions on a Cayley Tree of k-th Order

Nasir Ganikhodjaev, Department of Computational and Theoretical Science, Faculty of Science, IIUM, Kuantan, Malaysia

Ashraf Mohamed Nawi, Department of Computational and Theoretical Science, Faculty of Science, IIUM, Kuantan, Malaysia

 

We  study  the  phase  diagram  for  Potts  model  on  a Cayley tree of arbitrary order k with competing nearest-neighbor interactions  J1,  prolonged  next-nearest-neighbor  interactions  Jp and  one  level  k-tuple  neighbors  interaction  J0. To  perform  this study, an iterative scheme similar to that appearing in real space renormalization group  frameworks  is  established;  it  recovers as particular case, previous works by Ganikhodjaev et al for k = 2. The phase diagram is studied for several ranges of the competing parameters  showing  the  appearance  of  several  features  and modulated phase arising  from  the  frustration  effects  introduced by the one-level k-tuple neighbor interaction J0.

 

24. Forecast Combination Modeling Using A Pooled, Forecast Weights In A Linear And Homoskedastic Environment

Yip Chee Yin, Quantitative Science Building, College of Arts and Science, UUM, Sintok, Kedah, Malaysia.

Lim Hock Eam, Economics Building College of Arts and Science, UUM, Sintok, Kedah, Malaysia

 

This paper proposes forecast combination model based on Weighted Averaging Forecast Weights (WAF) of Bates and Granger Model Averaging (BGMA) and Simple Model Averaging (SMA). We find that WAF is an asymptotically unbiased estimate of both the mean squared forecast error (MSFA) and one-step-ahead mean squared forecast error (MSFE). We show how to compute WAF weights in forecasting settings. In empirical experiment, we find that WAF forecasts have low MSFE. In addition, it has much lower maximum regret than others feasible forecasting models like equal weighting and BIC selection combination.

 

25. Comparing the Predictive Ability of Mallows Model Averaging and Pre-Test Estimators

Yip Chee Yin, Quantitative Science Program, College of Arts and Sciences, UUM, Sintok, Kedah, Malaysia

Lim Hock Eam, Economics Program, College of Arts and Sciences, UUM, Sintok, Kedah, Malaysia

Hong Pei Yee, Quantitative Science Program, College of Arts and Sciences, UUM, Sintok, Kedah, Malaysia

 

This paper re-examines the risk of using pre-test estimators ADF, DF-GLS, DF-GLS coupled with KPSS and Mallows selection estimator in forecasting. It is found that DFGLS coupled with KPSS produced risk similar to that of Mallows model averaging (MMA) estimator in one-step-ahead forecasting, while ADF and DF-GLS are comparable to MMA only in longhorizon forecasting.

 

26. The function of spreadsheet in smoothening deepness and steepness of the cyclical component of a time series model

CHONG CHIN YOON, American Degree Transfer Program, Sunway University, Bandar Sunway, Selangor, Malaysia

SUMITHA GANESHARATNAM (PhD), University of Wollongong (Malaysia), INTI International University, Subang, Selangor, Malaysia

 

The purpose of this research is to show how selected time series variables within the Malaysian macroeconomic model are tested for business cycle asymmetries. Subsequently, this study also focuses on how a formulated excel spreadsheet that is user-friendly and cost effective can be used to smoothen these asymmetries. The smoothened variables are required to provide reasonable forecasting results within a macroeconomic model.

 

27. Systems Thinking Perspective On Preliminary Malaysian Nuclear Plant Safety Precautions

Amy Hamijah binti Ab Hamid, Faculty of Computer Science and Information Systems, Universiti Teknologi Malaysia, UTM, Skudai, Johor Bahru, Malaysia
Mohd Zaidi Abdul Rozan, Faculty of Computer Science and Information Systems, Universiti Teknologi Malaysia, UTM, Skudai, Johor Bahru, Malaysia
Safaai Deris, Faculty of Computer Science and Information Systems, Universiti Teknologi Malaysia, UTM, Skudai, Johor Bahru, Malaysia

 

Nuclear energy development in Malaysia is improvised recently as a result of governance acceptance and support since 2000 in order to solve energy crises. In spite of that, issues regarding on key public acceptance and risk perception are the main impediment in fulfilling these obligation. Besides this, nuclear plant safety precautions are outlined according to Malaysian context. Method of research are based on critical analysis of literatures and Soft System Methodology (SSM) in order to understand and investigate appropriate methodologies and approaches from Systems Thinking perspective. Consequently, this paper depicted that system dynamics is one of the most appropriate analysis tool in developing nuclear emergency preparedness and response plan (EPR) framework in the future and widely recommended by the nuclear industry meeting the terms of nuclear power plant (NPP) socio-technical aspects. Currently, various findings show that certain emergency preparedness education and awareness must be instilled among the society. Besides that, pertaining highly risk or vulnerable population groups are focused while developing the considered framework. However, further works and recommendations must be outlined to testify the reliability and validity of the framework itself.

 

28. INSiGhT Data Management

Masru Laili Mursidi, Operation Support System Program, Telekom Research & Development Sdn. Bhd., Selangor, Malaysia

Raihana Reh, Operation Support System Program, Telekom Research & Development Sdn. Bhd., Selangor, Malaysia

Rosdalillah Mohamed, Operation Support System Program, Telekom Research & Development Sdn. Bhd., Selangor, Malaysia

Zainuridah Yusof, Operation Support System Program, Telekom Research & Development Sdn. Bhd., Selangor, Malaysia
 

This paper will concentrate on the developed data management in INSiGhT system. It deals with various kinds of sampling techniques and survey method for automated survey data collection as well as coding scheme management for data storage to facilitate data analysis. This computerized system will help to reduce human errors, lessen cost on data entry and labor as well as time saving. The integrity of the INSiGhT’s data management will ensure the reliability of the system.

 

29. Markov chain Monte Carlo Algorithms for the Bayesian Logistic Regression Model

Dobrin Marchev, School of Mathematics and Statistics, University of Sydney, Australia

 

In this paper we consider the Bayesian logistic regression model with flat prior. More specifically, we use the normal mixture representation of the logistic distribution to derive a new Markov chain Monte Carlo method for exploring the posterior density of the regression coefficients. This new algorithm is further improved by adding an extra step in the sampling scheme, thus making it a special case of Hobert and Marchev (2008) Haar PX-DA algorithm, which is known to be more efficient than the standard approach. The two methods are compared on a real dataset, where we demonstrate empirically that the Haar algorithm’s Markov chain mixes much better.

 

30. Measuring and Managing the Value of Companies Using A Financial Optimization Model: A Corporate Governance Perspective

Siti Nuryanah, CSES, Victoria University Melbourne, Australia, Department of Accounting, Faculty of Economics, Universitas Indonesia, Jakarta, Indonesia

 

Phenomenal corporate collapses and financial crises have been repeated and responses urging implementation of good corporate governance (GCG) have been made, but why is there still company failure and why is it that a company which claims to have GCG still cannot achieve value maximization? The purpose of this paper is to develop an integrated financial model using an optimization approach for measuring and managing the value of companies to achieve GCG. The model uses discounted cash flow valuation model and is based on accurate and reliable accounting information so that it provides sound financial management strategies to manage the value of the company. The integrated financial model offers a significant contribution to the literature because it provides a managerial application model showing interactivity between individual governance variables, as well as considering external governance mechanisms. This would be of significant benefit to organizations pursuing GCG practice as well as managing their companies’ values. From an academic point of view, this research would fill the vacuum of an integrated financial application model which encompasses both corporate governance practices and external regulatory environments.

 

31. OPTIMUM ALLOCATION IN MULTIVARIATE TWO STAGE SAMPLING: A GEOMETRIC PROGRAMMING APPROACH

S PIRZADA, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia

 

In this paper, the problem of allocation in first stage and second stage units in multivariate two-stage sampling is considered. The formulation of the problem is done as a convex programming problem with linear objective function. A solution procedure using geometric programming technique is developed to solve the resulting mathematical programming technique.

 

32. Nonsmooth minimax programming with (!, !)-invex functions

Izhar Ahmad, Department of Mathematics and Statistics, King Fahd University of Petroleum and Minerals, Dhahran-31261, Saudi Arabia

 

In this paper, we consider a class of nonsmooth minimax programming problems in which functions are locally Lipschitz. Optimality conditions and duality results are obtained under locally Lipschitz generalized (<, !)-invex functions. These results extend several known results to a wider class of problems.

 

33. REPETITIVE GROUP SAMPLING VARIABLES INSPECTION PLAN (RGSVP) INDEXED BY MAPD

Dr D. Senthilkumar, Associate Professor, Department of Statistics, PSG College of Arts & Science, Coimbatore-641 008, India

 

This paper presents the procedure for the constriction and selection of Repetitive Group Sampling Variable Inspection Plan (RGSVP(n ;k1,k2)) indexed by MAPD , where n  is the sample size of a single sampling plan under method, k1 is the acceptance criterion of variables plan and k2 is the rejection criterion of variables plan.

 

34. Using System Dynamics in Modeling Production Systems

Nor Erne Nazira Bazin, Department of Modeling and Industrial Computing, Universiti Teknologi Malaysia, Johor, Malaysia

Noorfa Haszlinna Mustaffa, Department of Modeling and Industrial Computing, Universiti Teknologi Malaysia, Johor, Malaysia
 

This paper discusses the different features of various simulation modeling tools. The complexity of production system is highlighted to show the difficulties in modeling such system. A system dynamics model of a single stage production system is developed to illustrate the simplicity in the system dynamics modeling approach.

 

35. A new Method on Treating Missig Values in Polynomial Wavelet Regression

Alsaidi M. Altaher, School of Mathematical Sciences, Universiti Sains Malaysia, Pinang, Malaysia

Mohd Tahir Ismail, School of Mathematical Sciences, Universiti Sains Malaysia, Pinang, Malaysia

 

Polynomial wavelet regression (PWR) is usually considered as treatment for boundary problem present in wavelet regression. Practical implementations of this combined estimator might be faced by the presence of missing data in the response variable. Such missing observations can pose serious problems, affect the bias and finally misleading conclusions might be drawn. This paper introduces Bootstrap-Iterative Polynomial Imputation (BIPI) as a simple, an efficient method to replace the missing values in (PWR). Simulation study is conducted to assess the numerical achievement of (BIPI) with comparison with: mean-median substitutions, non-parametric bootstrap and EM algorithm.

Adjustment of the Auxiliary Variable(s) for Estimation of a Finite Population Mean

Company Description : In this paper we have worked on estimators by Prasad (1986) and Lui (1991). We have introduced estimators efficient than estimators proposed by Chakrabarty (1979), Singh and Singh (1997), Singh (2002) and Singh et al. (2006).

Product Type : Business Conference

Author : Various

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Determining Optimum Strata Boundaries for Skewed Population with Log-normal Distribution

Company Description : The method of choosing the best boundaries that make strata internally homogeneous as far as possible is known as optimum stratification. To achieve this, the strata should be constructed in such a way that the strata variances for the characteristic under study be as small as possible. If the frequency distribution of the study variable is known, the Optimum Strata Boundaries (OSB) could be obtained by cutting the range of the distribution at suitable points. In this paper the problem of finding the OSB for a skewed population with standard Log-normal distribution is studied. The problem is then redefined as the problem of determining Optimum Strata Widths (OSW) and is formulated as a Mathematical Programming Problem (MPP) that seeks minimization of the variance of the estimated population parameter under Neyman allocation subject to the constraint that sum of the widths of all the strata is equal to the total range of the distribution. The formulated MPP turns out to be a multistage decision problem that can be approached by dynamic programming technique. A numerical example is presented to illustrate the application and computational details of the proposed method. The results are compared with the Dalenius and Hodge's cum f method, which reveals that the proposed technique is more efficient and also useful for a skewed population when the other methods may fail to obtain OSB.

Product Type : Business Conference

Author : Various

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Optimized cost and dosage of Allium sativum against Edwardsiellosis in African catfish

Company Description : This study was conducted to optimize cost and dosage of Allium sativum extract as growth promoter and antimicrobial agent in controlling Edwardsiellosis in African catfish (Clarias gariepinus). African catfish were given fish feed in which incorporated with A. sativum extract at dosage 8 g and 16 g/kg of fish for 7 days before intraperitonealy (i.p) exposed to Edwardsiella tarda. Survival and daily growth rate of the African catfish were recorded everyday continually until 21 days post-infection. The results of the present study were analysis using response surface method to determine the optimum cost and dosage of A. sativum extract for the highest survival and daily growth rate of the fish. In the present study, the optimum cost and dosage of A. sativum extract for 63.5 % survival rate and 32.6 % daily growth rate of African catfish was RM 0.297/kg of fish and 14 g/kg of fish, respectively. In term of cost effectiveness, A. sativum extract showed the potential to be used as antimicrobial agent in aquaculture.

Product Type : Business Conference

Author : Various

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Optimization cost and Citrus microcarpa extract dosage for aquaculture uses

Company Description : This paper described optimization of cost and dosage of Citrus microcarpa extract against Edwardsiellosis in African catfish (Clarias gariepinus) culture. This study was carried out to determine the minimum cost and dosage of furazolidone and C. microcarpa extract for the maximum survival and growth rate of African catfish infected with Edwardsiella tarda. African fish were treated with C. microcarpa extract at dosage of 2, 4 and 8 g/kg of fish for one week before intraperitoneally infected with Edwardsiella tarda. The infected fish were continually treated with medicated feed for the next three weeks. Survival and daily growth rate of the experimental fish were recorded at the end of experiment. Optimization of cost and dosage of C. microcarpa extract based on survival and daily growth rate of the fish were carried out using response surface methodology. In the present study, the optimum cost and dosage of C. microcarpa extract for 100 % survival rate and 38.6 % daily growth rate of African catfish were RM 0.05 per kg of fish and 4.8g per kg of fish, respectively. Based on cost and effectiveness of C. microcarpa in controlling Edwardsiellosis in African catfish indicated the huge potential of thisextract as antimicrobial agent as well as growth promoter for aquaculture use.

Product Type : Business Conference

Author : Various

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Languages : English

Optimization cost and furazolidone dosage for aquaculture uses

Company Description : This paper described optimization of cost and dosage of furazolidone in controlling Edwardsiellosis in African catfish (Clarias gariepinus) culture. This study was carried out to determine the minimum cost and dosage of furazolidone for the maximum survival and growth rate of African catfish infected with Edwardsiella tarda. African fish were treated with furazolidone at dosage of 16, 32, 64 mg/kg of fish for one week before intraperitoneally infected with Edwardsiella tarda. The infected fish were continually treated with medicated feed for the next three weeks. Survival and daily growth rate of the experimental fish were recorded at the end of experiment. Optimization of cost and dosage of furazolidone based on survival and daily growth rate of the fish were carried out using response surface methodology. In the present study, the optimum cost and dosage of furazolidone for 40.2 % survival rate and 28.5 % daily growth rate of African catfish were RM 219.8 per kg of fish and 16.6 mg per kg of fish, respectively. Based on cost and effectiveness of furazolidone in controlling Edwardsiellosis in African catfish indicated this antibiotic is not promising as antimicrobial agent as well as growth promoter for aquaculture use.

Product Type : Business Conference

Author : Various

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Optimized cost and dosage of kanamycin against Edwardsiellosis in African catfish...

Company Description : This study was conducted to optimize cost and dosage of kanamycin as growth promoter and antimicrobial agent in controlling Edwardsiellosis in Africancatfish (Clarias gariepinus). African catfish were given fish feed in which incorporatedwith kanamycin at concentration of 4, 8, 16, 32 and 64 mg/kg of fish for 7 days before intraperitonealy (i.p) exposed to Edwardsiella tarda. Survival and daily growth rate of the African catfish were recorded everyday continually until 21 days post-infection. The results of the present study were analysis using response surface method to determine the optimum cost and dosage of kanamycin for the highest survival and daily growth rate of the fish. In the present study, the optimum cost and dosage for 76.5 % survival rate and 35.3 % daily growth rate of African catfish was RM 2.00/kg of fish and 10.2 mg/kg of fish, respectively. In term of cost effectiveness, kanamycin showed the potential to be used as antimicrobial agent in aquaculture.

Product Type : Business Conference

Author : Various

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Languages : English

A Risk Analysis Method Based on Interval-Valued Fuzzy Numbers for Improving Patient Safety

Company Description : As the importance of patient safety increases for hospital management, improvements in patient safety are needed to reduce this high incidence of medical error. Research on patient safety and medical errors shows that errors and the adverse events may mainly resulted by health care providers, equipment and the quality management system. Most studies focused their research on the risk of patient individual in health care, however, facing patient safety problems, a hospital manager must consider the risk of the organization while making improving decision. It will be relative with the cost-effectiveness of a health care organization. Here we used a TOPSIS (technique for order preference by similarity to ideal solution) approach to manage the risk of a health care organization in linguistic terms in the environment of interval valued fuzzy numbers (IVFNs). Rather than calculating the distance between the alternatives and the positive/negative ideal solution in a TOPSIS approach, we use the similarity measure between IVFNs of the alternatives’ risk and the risk of the positive/negative ideal solution to help hospital managers analyze risks in an uncertain and complex situation and more easily determine the best alternative.

Product Type : Business Conference

Author : Various

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Inclusion of wind power plants in the problem of preventive maintenance scheduling...

Company Description : The problem of power plant preventive maintenance scheduling (PMS) is approached in this paper. It is aimed at evaluating which generators must stop production to be checked periodically for safety. It is crucial because a failure in a power plant may cause a general breakdown in an electric grid. This situation might result in unsatisfying the electricity demand of customers. The objective is to perform PMS in such a manner that the reliability of the system is maximized. The model reached considers the integration of wind power plants in a global electric generation system comprising thermal, hydroelectric, and nuclear power plants. This is an optimisation problem. 0/1 mixed integer linear programming is used to solve the final model. An application example is included.

Product Type : Business Conference

Author : Various

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Intuitionistic Fuzzy ELECTRE Method and Experimental Analysis on Contradiction Rates

Company Description : The purpose of this paper is to extend the ELECTRE method based on intuitionistic fuzzy sets in decision analysis and experimental analysis on the proposed methods’ contradiction rate. We identify different kinds of concordance and discordance sets, e. g. concordance, midrange concordance, weak concordance, discordance, midrange discordance and weak discordance for each ordering at the proposed methods. An experimental analysis of intuitionistic fuzzy ELECTRE methods is conducted with discussions on contradiction rate. The proposed methods’ contradiction rates are lower than other MCDM methods according the simulation results, and they have a decreasing trend with the number of attributes.

Product Type : Business Conference

Author : Various

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A Numerical Method for the Continuous Leontief Production Model with Quadratic Objective...

Company Description : A continuous Leontief production model with quadratic objective function is discussed in this paper. We propose a discrete approximation procedure to find numerical solutions of this model. By our constructive manner, the provided computational procedure can yield feasible numerical solutions with pre-defined error bound. Some numerical examples are provided to implement our proposed method and to show the quality of the proposed error bound.

Product Type : Business Conference

Author : Various

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Pareto-optimal solution for multiple objective linear programming problems with fuzzy goals...

Company Description : Several methods have been addressed to attain fuzzyefficient solution for the multiple objective linear programming problems with fuzzy goals in the literature. Recently, Jimenez and Bilbao showed that a fuzzy-efficient solution may not guarantee to be Pareto-optimal solution in the case that one of fuzzy goals is fully achieved. To show this point they employ Guu and Wu’s two-phase approach to obtain a fuzzy-efficient solution first, then a model like a conventional goal programming (GP) problem is proposed for finding a Pareto-optimal solution. In this study, a new two-phase approach is proposed to find a Paretooptimal solution for the multiple objective linear programming problems with fuzzy goals without relying on the results of original two-phase approach. We also show that the optimal solution yielded from this new two-phase approach is Paretooptimal solution.

Product Type : Business Conference

Author : Various

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The Economic Impacts of a Private University on the Local Economy

Company Description : This report provides an assessment for FY 2010 of the economic contribution of Embry-Riddle Aeronautical University (ERAU)-Prescott Campus to Yavapai County, Arizona. Three aspects of economic impact analyses are demonstrated: direct, indirect and induced. The analysis describes the sources of funds received by the University and how they are dispersed in the form of compensations to employees, students and the local economy. ERAU is a major contributor to the social and economic progress of the people in Yavapai County. An analysis of the economic impacts associated with the spending of the University was conducted using IMPLAN input-output modeling software. Areas of impact considered were limited to four: University operations, University payroll, student spending, and visitor spending. The purpose of this report is to identify and assess the economic impacts that may result from the University’s operations on the local economy.

Product Type : Business Conference

Author : Various

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Development of a Discrete Event Simulation Model to Evaluate Maintenance Strategy at a Vehicle..

Company Description : This study concerns on the development of a discrete event simulation model which is used to experiment a set of maintenance strategy at a Vehicle Inspection Centre. The maintenance strategies are evaluated in terms of customer waiting time. The construction of a computer simulation model is described in this paper where structural and process flow of a Vehicle Inspection Centre were identified and modeled. The simulation model is then refined by including several maintenance strategies. Preliminary results on customer waiting time based on identified maintenance strategies are presented to provide initial findings of the study.

Product Type : Business Conference

Author : Various

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Sustainability of Self Sufficiency of Rice Policy in Malaysia under a Changing Environment

Company Description : Malaysia’s stance on food security is largely translated in terms of achieving self-sufficiency in rice production at about 65-70% of the local requirement. Since Malaysia does not have the comparative advantage in rice production, it implements a wide range of market interventions to achieve the intended level of rice production. The policy instruments include among others: guaranteed minimum price for paddy, price control, price and input subsidies. The future scenario of paddy production is clouded with weather changes which affect soil fertility and water availability. This paper examines the influence of major intervention instruments (input subsidy and R&D investment) as well as climate change on the country’s effort to achieve self sufficiency in rice. A system dynamics model is applied to analyse the causal and feedback relationships of these variables in the paddy production system framework. The study shows that Malaysia may not be able to sustain the targeted self sufficiency level without adequate R&D to address the production constraints particularly below-optimum productivity and the threats of climate changes. The consumption of rice on the other hand continues to rise due to increase in population.

Product Type : Business Conference

Author : Various

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Efficiency Analysis of OECD Public Education Spending

Company Description : Efficient public finance budgeting is a major challenge for governments. Monetary output based efficiency analysis do not present, how well they overcome this aim, because public utility exceeds quantitative outputs in social societies. However, PISA research measures the quality of the education service. So, it is possible to analyze the efficiency of the quality of public finance in education sector using well known Data Envelopment Analysis on OECD (Organization for Economic Co-operation and Development) countries data. Expected results are that neither the “monetary input” nor the “physical input” efficiency studies deliver consistent results which clearly limits the political usefulness of such studies, e.g. the potential range for expenditure cuts remains unclear. Nevertheless such studies are regarded as a valuable starting point for political discussion. The aim of this paper is to update the efficiency scoring of the OECD countries according to the current (2010) PISA scores. Furthermore, it aims also to show that the BBC model which do not have VRS (Variable Returns to Scale) assumption and convexity constraits for inputs will result the same country classification as in literature without the usage of environmental variables.

Product Type : Business Conference

Author : Various

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Estimation of Efficient Regression Model Using a Multi-Objective Procedure

Company Description : Includes a PDF file from the presentation given at the annual conference of the Operations Research and Statistics Conference.

Product Type : Business Conference

Author : Various

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Identifying Significance Test Using STestMAP

Company Description : This study aims to investigate the effects of using STestMAP in identifying correct significance test. STestMAP or Statistical Test through MultimediA Procedure is a visual tool devised specifically for research students and researchers to assist them in identifying the correct significance tests. To elicit the data, the experimental design was employed in which the respondents were randomly assigned to experimental and control groups. A prior knowledge test was administered to both groups followed by a pre-test. After that, different treatment was given to the two groups and the post test was administered at the end of the treatment. The sample consisted of forty-nine respondents from two public universities in Malaysia. Quantitative analysis was used to analyze the data. The Wilcoxon Signed Rank Test revealed significant differences in the pre-test and post-test for both the control group and experimental group. The Mann- Whitney U Test indicated insignificant difference when the gains for both groups were compared. This study concludes with some discussions on the findings and some suggestions for future research.

Product Type : Business Conference

Author : Various

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Exploring the effects of interventions to combat childhood obesity: inducing behavioural change

Company Description : The prevalence of English child obesity has increased especially in the 1990’s. Due to the many negative impacts of obesity, such as the cost and health consequences, an urgent solution is needed to reverse current trends. This study focuses on behavioral changes looking at improvements in eating behavior. It is easier and sound logically to attempt changes in behavior compared to environmental changes which can be a costly and complicated process. Most of obesity research concerned with interventions is normally conducted in a real-life setting and using randomized controlled trials, but this demands time and cost. Due to these constraints, it is important to embrace other appropriate methods and computer simulation is one which offers considerable potential. This study highlights the capability of system dynamics simulation modeling to evaluate obesity interventions looking at reversing the trends of weight, body mass index and the prevalence of obesity in children. Obesity is a complex problem in the real-life context. System dynamics has the capability to assess non-linear dynamic systems, which involve time delays and feedback processes and much useful information can be gleaned from a single analytical environment. Output runs from the modelling show that an increase in energy intake from food consumption is the main reason behind the increases in weight, body mass index and prevalence of obesity in a sample of English boys aged 11 to 15 years. Reducing the amount of energy derived from food consumption is a high leverage solution to the obesity problem.

Product Type : Business Conference

Author : Various

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Languages : English

Simulating and Selecting the best Appointment System of an Outpatient Department

Company Description : In this paper, we model and compare several appointment systems for outpatient department in a healthcare system. The objective is to design an appointment system that minimizes the average waiting time per patient and at the sametime uses the resources effectively by maximizing the doctor utilization. The problem is modeled as a multi-objective optimization problem. We propose a raking and selection procedures to construct a Pareto set that consists of nondominated systems with a predetermined level of confidence. The procedure is implemented on an outpatient clinic at Doha Hospital Clinics by modeling and simulating six appointment systems using ARENA and compares them to select the best ones.

Product Type : Business Conference

Author : Various

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Phase Transition in Ferromagnetic Lattice Models on a Cayley Tree with Non-uniform External...

Company Description : In this article we study the phase transition phenomenon for the Ising and Potts models under the action of a non-uniform external magnetic field hx, x V, where V is the set of vertices of the Cayley tree. We show that both models on the Cayley tree with –J < inf {hx: x V} < sup{ hx: x V} < J, have a first-order phase transition.

Product Type : Business Conference

Author : NASIR GANIKHODJAEV

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Ising Model on a General Cayley Tree with Competing Next-nearest-neighbour Interactions

Company Description : We study the Ising model on a general Cayley tree of arbitrary order and produce the phase diagram with competing interactions prolonged next-nearest-neighbour Jp and one-level k-tuple next-nearest-neighbour Jo. Vannimenus proved the existence of modulated phase in the phase diagram of Ising model with competing nearest-neighbour interaction J1 and prolonged next-nearest-neighbour interactions Jp, as found for similar models on periodic lattices.

Product Type : Business Conference

Author : Various

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Multidimensional Mapping for Potts Model With Competing Interactions

Company Description : We study the phase diagram for Potts model on a Cayley tree of arbitrary order k with competing nearest-neighbor interactions J1, prolonged next nearest neighbor interactions Jp and one level next nearest neighbors interaction J0. To perform this study, an iterative scheme similar to that appearing in real space renormalization group frameworks is established; it recovers as particular case, previous works by Ganikhodjaev et al for k = 2. The phase diagram is studied for several ranges of the competing parameters showing the appearance of several features and modulated phase arising from the frustration effects introduced by the one-level next nearest neighbor interaction J0.

Product Type : Business Conference

Author : Various

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Potts Model with Competing Interactions on a Cayley Tree of k-th Order

Company Description : We study the phase diagram for Potts model on a Cayley tree of arbitrary order k with competing nearest-neighbor interactions J1, prolonged next-nearest-neighbor interactions Jp and one level k-tuple neighbors interaction J0. To perform this study, an iterative scheme similar to that appearing in real space renormalization group frameworks is established; it recovers as particular case, previous works by Ganikhodjaev et al for k = 2. The phase diagram is studied for several ranges of the competing parameters showing the appearance of several features and modulated phase arising from the frustration effects introduced by the one-level k-tuple neighbor interaction J0.

Product Type : Business Conference

Author : Various

PDF 6p

Languages : English

Forecast Combination Modeling Using A Pooled, Forecast Weights In A Linear And Homoskedastic...

Company Description : This paper proposes forecast combination model based on Weighted Averaging Forecast Weights (WAF) of Bates and Granger Model Averaging (BGMA) and Simple Model Averaging (SMA). We find that WAF is an asymptotically unbiased estimate of both the mean squared forecast error (MSFA) and one-step-ahead mean squared forecast error (MSFE). We show how to compute WAF weights in forecasting settings. In empirical experiment, we find that WAF forecasts have low MSFE. In addition, it has much lower maximum regret than others feasible forecasting models like equal weighting and BIC selection combination.

Product Type : Business Conference

Author : Various

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Languages : English

Comparing the Predictive Ability of Mallows Model Averaging and Pre-Test Estimators

Company Description : This paper re-examines the risk of using pre-test estimators ADF, DF-GLS, DF-GLS coupled with KPSS and Mallows selection estimator in forecasting. It is found that DFGLS coupled with KPSS produced risk similar to that of Mallows model averaging (MMA) estimator in one-step-ahead forecasting, while ADF and DF-GLS are comparable to MMA only in longhorizon forecasting.

Product Type : Business Conference

Author : Various

PDF 4p

Languages : English

The function of spreadsheet in smoothening deepness and steepness of the cyclical component...

Company Description : The purpose of this research is to show how selected time series variables within the Malaysian macroeconomic model are tested for business cycle asymmetries. Subsequently, this study also focuses on how a formulated excel spreadsheet that is user-friendly and cost effective can be used to smoothen these asymmetries. The smoothened variables are required to provide reasonable forecasting results within a macroeconomic model.

Product Type : Business Conference

Author : Various

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Languages : English

Systems Thinking Perspective On Preliminary Malaysian Nuclear Plant Safety Precautions

Company Description : Nuclear energy development in Malaysia is improvised recently as a result of governance acceptance and support since 2000 in order to solve energy crises. In spite of that, issues regarding on key public acceptance and risk perception are the main impediment in fulfilling these obligation. Besides this, nuclear plant safety precautions are outlined according to Malaysian context. Method of research are based on critical analysis of literatures and Soft System Methodology (SSM) in order to understand and investigate appropriate methodologies and approaches from Systems Thinking perspective. Consequently, this paper depicted that system dynamics is one of the most appropriate analysis tool in developing nuclear emergency preparedness and response plan (EPR) framework in the future and widely recommended by the nuclear industry meeting the terms of nuclear power plant (NPP) socio-technical aspects. Currently, various findings show that certain emergency preparedness education and awareness must be instilled among the society. Besides that, pertaining highly risk or vulnerable population groups are focused while developing the considered framework. However, further works and recommendations must be outlined to testify the reliability and validity of the framework itself.

Product Type : Business Conference

Author : Various

PDF 4p

Languages : English

INSiGhT Data Management

Company Description : This paper will concentrate on the developed data management in INSiGhT system. It deals with various kinds of sampling techniques and survey method for automated survey data collection as well as coding scheme management for data storage to facilitate data analysis. This computerized system will help to reduce human errors, lessen cost on data entry and labor as well as time saving. The integrity of the INSiGhT’s data management will ensure the reliability of the system.

Product Type : Business Conference

Author : Various

PDF 3p

Languages : English

Markov chain Monte Carlo Algorithms for the Bayesian Logistic Regression Model

Company Description : In this paper we consider the Bayesian logistic regression model with flat prior. More specifically, we use the normal mixture representation of the logistic distribution to derive a new Markov chain Monte Carlo method for exploring the posterior density of the regression coefficients. This new algorithm is further improved by adding an extra step in the sampling scheme, thus making it a special case of Hobert and Marchev (2008) Haar PX-DA algorithm, which is known to be more efficient than the standard approach. The two methods are compared on a real dataset, where we demonstrate empirically that the Haar algorithm’s Markov chain mixes much better.

Product Type : Business Conference

Author : Dobrin Marchev

PDF 6p

Languages : English

Measuring and Managing the Value of Companies Using A Financial Optimization Model: A Corporate

Company Description : Phenomenal corporate collapses and financial crises have been repeated and responses urging implementation of good corporate governance (GCG) have been made, but why is there still company failure and why is it that a company which claims to have GCG still cannot achieve value maximization? The purpose of this paper is to develop an integrated financial model using an optimization approach for measuring and managing the value of companies to achieve GCG. The model uses discounted cash flow valuation model and is based on accurate and reliable accounting information so that it provides sound financial management strategies to manage the value of the company. The integrated financial model offers a significant contribution to the literature because it provides a managerial application model showing interactivity between individual governance variables, as well as considering external governance mechanisms. This would be of significant benefit to organizations pursuing GCG practice as well as managing their companies’ values. From an academic point of view, this research would fill the vacuum of an integrated financial application model which encompasses both corporate governance practices and external regulatory environments.

Product Type : Business Conference

Author : Siti Nuryanah

PDF 4p

Languages : English

Optimum allocation in multivariate two stage sampling: a geometric programming approach

Company Description : In this paper, the problem of allocation in first stage and second stage units in multivariate two-stage sampling is considered. The formulation of the problem is done as a convex programming problem with linear objective function. A solution procedure using geometric programming technique is developed to solve the resulting mathematical programming technique.

Product Type : Business Conference

Author : S.Pirzada

PDF 4p

Languages : English

Nonsmooth minimax programming with (!, !)-invex functions

Company Description : In this paper, we consider a class of nonsmooth minimax programming problems in which functions are locally Lipschitz. Optimality conditions and duality results are obtained under locally Lipschitz generalized (<, !)-invex functions. These results extend several known results to a wider class of problems.

Product Type : Business Conference

Author : Izhar Ahmad

PDF 6p

Languages : English

Repetitve group sampling variables inspection plan (RGSVP) indexed by MAPD

Company Description : This paper presents the procedure for the constriction and selection of Repetitive Group Sampling Variable Inspection Plan (RGSVP(n ;k1,k2)) indexed by MAPD , where n is the sample size of a single sampling plan under method, k1 is the acceptance criterion of variables plan and k2 is the rejection criterion of variables plan.

Product Type : Business Conference

Author : Dr D. Senthilkumar

PDF 6p

Languages : English

Using System Dynamics in Modeling Production Systems

Company Description : This paper discusses the different features of various simulation modeling tools. The complexity of production system is highlighted to show the difficulties in modeling such system. A system dynamics model of a single stage production system is developed to illustrate the simplicity in the system dynamics modeling approach.

Product Type : Business Conference

Author : Various

PDF 5p

Languages : English

A new Method on Treating Missig Values in Polynomial Wavelet Regression

Company Description : Polynomial wavelet regression (PWR) is usually considered as treatment for boundary problem present in wavelet regression. Practical implementations of this combined estimator might be faced by the presence of missing data in the response variable. Such missing observations can pose serious problems, affect the bias and finally misleading conclusions might be drawn. This paper introduces Bootstrap-Iterative Polynomial Imputation (BIPI) as a simple, an efficient method to replace the missing values in (PWR). Simulation study is conducted to assess the numerical achievement of (BIPI) with comparison with: mean-median substitutions, non-parametric bootstrap and EM algorithm.

Product Type : Business Conference

Author : Various

PDF 6p

Languages : English

Organizer : Global Science & Technology Forum

GSTF provides a global intellectual platform for top notch academics and industry professionals to actively interact and share their groundbreaking research achievements. GSTF is dedicated to promoting research and development and offers an inter-disciplinary intellectual platform for leading scientists, researchers, academics and industry professionals across Asia Pacific to actively consult, network and collaborate with their counterparts across the globe.