tailieunhanh - Using goal programming method to solve dea problems with value judgments

This paper shows how a data envelopment analysis problem can be solved by transforming it into MOLP formulation. We use the goal programming method to reflect the decision making preferences in the process of assessing efficiency, such that the value judgments of the decision maker are considered. Therefore, the proposed method can find a solution that satisfies the decision maker’s goal levels. | Yugoslav Journal of Operations Research 24(2014) Number 2, 267 - 282 DOI: USING GOAL PROGRAMMING METHOD TO SOLVE DEA PROBLEMS WITH VALUE JUDGMENTS M. IZADIKHAH Department of Mathematics, College of Science, Arak-Branch, Islamic Azad University, Arak, Iran m-izadikhah@ R. ROOSTAEE Department of Mathematics, College of Science, Arak-Branch, Islamic Azad University, Arak, Iran r_roostaee@ F. HOSSEINZADEH LOTFI Department of Mathematics, Islamic Azad University, Science and Research Branch, Tehran, Iran farhad@ Received: December 2012 / Аccepted: May 2014 Abstract: Data envelopment analysis (DEA) is a linear programming approach for measuring relative efficiency of peer decision making units that have multiple inputs and outputs. DEA was developed without consideration of the decision maker’s preference structures. DEA and multiple objective linear programming are tools that can be used in management control and planning. This paper shows how a data envelopment analysis problem can be solved by transforming it into MOLP formulation. We use the goal programming method to reflect the decision making preferences in the process of assessing efficiency, such that the value judgments of the decision maker are considered. Therefore, the proposed method can find a solution that satisfies the decision maker’s goal levels. A case study is provided to illustrate how data envelopment oriented efficiency analysis can be conducted by using goal programming method. Keywords:Data envelopment analysis (DEA), Multiple objective linear programming (MOLP), Goalprogramming MSC: 90B50. 268 M. Izadikhah, R. Roostaee, F. Hosseinzadeh Lotfi/ Using goal programming 1. INTRODUCTION Data envelopment analysis (DEA), originally presented by Charnes et al. (1978), is a well-known family of mathematical programming tools for assessing the relative efficiency of a set of comparable processing decision making units (DMUs). The number

• Vật lý
• Data envelopment analysis (DEA)
• Multiple objective linear programming (MOLP)
• MOLP formulation
• Measuring relative efficiency
• Linear programming
• District Co operative banks
• Odisha using DEA approach
• BCC Mode of DEA
• Data Envelopment Analysis
• Majority of DCCB’s
• Slacks Based Measure of Efficiency (SBM)
• American Journal of Operations Research
• Nghiên cứu kinh tế
• Phân tích kinh tế
• Based on the original CCR model
• Fuzzy goal programming
• Efficiency and effectiveness measurement
• Improvement of manufacturing organizations
• Optimal achievement
• Applications of DEA techniques
• Project management units
• Enterprise resources planning
• Decision making unit
• Bus performance evaluation
• Technical efficiency
• Operational effectiveness
• ELECTRE methods
• Dea methods
• Electre multi criteria methodology
• Bank branch network
• A DEA application
• Scientometrics study on green building
• Three measures of h index
• Green gas effect
• DEA efficiency measures
• Support Vector Machines
• Gap statistical method of Tibshirani
• Banks performance evaluation
• Data truncating
• Data censoring
• Tobit analysis
• Operational research
• Genetic algorithms GA
• Operational efficiency of banks
• DEA method
• Commercial banks
• Kỷ yếu Hội thảo khoa học
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• Phân tích bao dữ liệu với R
• Phân tích bao dữ liệu
• Phần mềm R
• Data Envelopment Analysis DEA
• Efficiency analysis
• Predictive analytics
• Machine learning
• Linear regression
• Data envelopment analysi
• Efficiency and productivity
• Analysis of the first 40 years
• Scholarly literature
• Publications related to theory
• Cost efficiency
• Stochastic frontier analysis
• Emerging banking
• Cost efficiency of Vietnamese banks
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• Project management (PM)
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• Multi criteria ranking method (MCRM)
• Analytical hierarchical process (AHP)
• Production function
• Spatial infrastructure
• Northern regions
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