Benchmark Forecasting in Data Envelopment Analysis for Decision Making Units
الموضوعات : مجله بین المللی ریاضیات صنعتی
M. Shafiee
1
,
F. Hosseinzade Lotfi
2
,
H. Saleh
3
1 - Department of Industrial Management, Shiraz Branch,
Islamic Azad University, Shiraz, Iran
2 - Department of Mathematics, Science and Research Branch,
Islamic Azad University, Tehran, Iran
3 - Department of Mathematics, Central Tehran Branch, Islamic Azad University, Tehran, Iran
الکلمات المفتاحية: Data envelopment analysis (DEA), Efficiency forecasting, Benchmark., Performance evaluation, Bank efficiency, System Dynamics, Simulation,
ملخص المقالة :
Although DEA is a powerful method in evaluating DMUs, it does have some limitations. One of the limitations of this method is the result of the evaluation is based on previously data and the results are not proper for forecasting the future changes. So For this purpose, we design feedback loops for forecasting inputs and outputs through system dynamics and simulation. Then we use DEA model to forecast the efficiency.
[1] M. D. Abbott, R. S. Stanley, Modeling groundwater recharge and ow in an upland fracture bedrock,System Dynamics Review 15 (1999)163-184.
[2] G. R. H. Allington, W. Li, D. G. Brown, Urbanization and environmental policy e ects on the Capacity: Taking Beijing City as the Case, Energy Procedia 105 (2017) 3493-3498.
[3] R. Banker, A. Charnes, W.W. Cooper, Some models for estimating technical and scale ine
ciencies in data envelopment analysis, European Journal of Operational Research 9 (1984) 1078-1092.
[4] T. Bui, C. Loebbecke, Supporting cognitive feedback using system dynamics: A demand
model of the global system of mobile telecommunication, Decision Support System 17 (1996) 83-98.
[5] C. M. Chao, M. M. Yu, Chen Measuring the performance of nancial holding companies, The Service Industries Journal 30 (2010) 811-829.
[6] A. Charnes, W. W. Cooper, E. Rhodes, Measuring the eciency of decision making units, European Journal of Operational of Operational Research 6 (1978) 422-444.
[7] H. W. Chen, N. B. Chang, Prediction of solid waste generation via grey fuzzy dynamic modeling, Resources Conservation and Recycling 29 (2000) 1-18.
[8] Y. C. Chen, Y. H. Chiu, C. W. Huang, Measuring super-eciency of nancial and non- nancial holding companies in Taiwan: An application of DEA model, African Journal of Business Management 4 (2010) 3122-3133.
[9] C. C. Chiou, E ects of nancial holding companyact on bank eciency and productivity in Taiwan, Neurocomputing 72 (2009) 3490-3506.
[10] M. L. Deaton, J. J. Winebrake, Dynamic Modeling of Environment Systems, Springer-Verlag, NewYork, (2000).
[11] J. L. Deng, Control problems of grey systems, System Control Letter 1 (1982) 1-5.
[12] B. Dyson, N. B. Chang, Forecasting Municipal solid waste generation in a fast-grow urban region with system dynamics modeling, Journal of Waste Management 25 (2005) 669-973.
[13] W. Fang, H. An, H. Li, X. Gao, X. Sun, Urban Economy Development and Ecological Carrying Capacity: Taking Beijing City as the Case, Energy Procedia 105 (2017) 3493-3498.
[14] M. D. Feith, F. Pasiouras, Assessing bank eciency and performance with operational research and arti cial intelligence techniques: A survey, European Journal of Operational Research 204 (2010) 189-198.
[15] A. Ford, Modeling the Environment, Island Press, Washington DC, (1999).
[16] J. W. Forrester, Industrial Dynamics, MIT Press, Cambridge, Massachusetts (1961).
[17] J. W. Forrester, Urban Dynamics, The MIT Press, Massachusetts, (1969).
[18] J. W. Forrester, World Dynamics, Wright Allen Press, Massachusetts, (1971)
[19] H. Fukuyama, W. L. Weber, Measuring Japanese bank performance: a dynamic network
DEA approach, Journal of Productivity Analysis 44 (2015) 249-264.
[20] B. Golony, An interactive MOLP procedure for the extension of DEA to e ectiveness analysis, Journal of Operational Research Society 39 (1988) 725-34.
[21] W. E. Grand, E. K. Pederson, S. L. Marin, Ecology and Natural Resource Management: System Analysis and Simulation, Wiley, New York, (1997).
[22] D. Holod, H. F. Lewis, Resolving the deposit dilemma: A new DEA bank eciency model, Journal of Banking and Finance 35 (2011) 2801-2810.
[23] S. Howick, Using System Dynamics Models with Litigation Audiences, European Journal of Operation Research 162 (2005) 239-250.
[24] M. C. Kao, C. T. Lin, L. Xu, Do nancial reforms improve the performance of nancial holding companies? The case of Taiwan, International Review of Finance 12 (2012) 491-509.
[25] E. R. Larson, A. V. Ackere, K. Warren, The growth of service of growth: Using System dynamics to understand service quality and capital allocation, Decision Support System 19 (1997) 271-287.
[26] Y. Li, J. L. Hu, H. W. Liu, Non-performing loans and bank eciencies: an application of the input distance function approach, Journal of Statistics and Management Systems 12 (2009) 435-450.
[27] D. L. Meadows, Toward Global Equilibrium, Collected Papers, Wright-Allen Press, Massachusetts, (1973).
[28] J. D. W. Morecroft, System Dynamics and Micro world for Policymakers, European Journal of Operation Research 35 (1988) 301-320.
[29] A. Mukherjee, R. Roy, System dynamic model of management of a television game show, Journal of Modeling in Management 1 (2006) 95-115.
[30] P. Otto, A System dynamics model as a decision aid in evaluating and communicating complex market entry strategies, Journal of Business Research 61 (2008) 1173-1181.
[31] W. Qu, G. O. Barney, Projecting Chinas Grain Supply and Demand Using a New Computer Simulation Model, Millennium Institute, Arlington, VA, (1988).
[32] E. B. Robert, Managerial application of System Dynamics, Pegasus Communications. Waltham M. A. (1978).
[33] G. P. Randers, Elements of the System Dynamics Method, Productivity Press, Cambridge, (1980).
[34] G. P. Richardson, P. Otto, Applications of System Dynamics in marketing: Editorial, Journal of Business Research 61 (2008) 1099-1101.
[35] G. P. Richardson, A. L. Pugh, Introduction to System Dynamics Modeling with DYNAMO, Cambridge, Productivity Press, Massachusetts, (1980).
[36] M. Ronkko, Hybrid systems: Modeling and analysis using emergent dynamics, Nonlinear
Analysis: Hybrid System 4 (2007) 560-576.
[37] A. K. Saysel, Y. Barlas, O. Yenigun, Environment sustainability in an agriculture development project: ac system dynamics approach, Journal of Environment Management 64 (2002) 247-260.
[38] P. C. Smith, A. V. Ackere, A note on the integration of system dynamics and economic model, Journal of Economic Dynamic and control 26 (2002) 1-10.
[39] J. D. Sterman, System Thinking and Modeling for Complex Word. Business Dynamics, McGraw-Hill, Irwin.
[40] T. J. Stewart, Goal directed benchmarking for organizational eciency, Omega 38 (2010) 534-539.
[41] Y. Sun, N. Liu, J. Shang, J. Zhang, Sustainable utilization of water resources in China: A system, Journal of cleaner production 20 (2017) 613-625.
[42] E. Suryani, S. Y. Chou, C. H. Chen, Air passenger demand forecasting and passenger
terminal capacity expansion: A system dynamics framework, Expert System and Application 37 (2010) 2324-2339.
[43] E. Thanassoulis, R. G. Dyson, Estiminating preferred target input-output levels using data envelopment analysis, European journal of Operational Research 56 (1992) 80-97.
[44] K. Vizayakumar, P. K. J. Mohapatra, Environment impact analysis of a coal eld, Journal of Environment Management 34 (1991) 73-93.
[45] T. S.Wood, M. L. Shelley, A Dynamic model of bioavailability of metals in constructed wetland sediments, Ecological Engineering 12 (1999) 231-252.
[46] D. Wu, S. Ning, Dynamic assessment of urban economy-environment-energy system using, Environmental research 164 (2018) 70-84.
[47] N. H. Yim, S. H. Kim, H. W. Kim, K. Y. Kwank, Knowledge based decision making on higher level strategic concerns: system dynamics, Expert Systems with Applications 27 (2004) 143-158.
