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A unified framework for the selection of a flexible manufacturing system. (English) Zbl 0912.90163
Summary: This research addresses the problem of selecting the most appropriate flexible manufacturing system (FMS) for a manufacturing organization. A unified framework is proposed to facilitate decision making in the design and planning stage. The recommended framework contains three individual modules: an analytic hierarchy process (AHP), a simulation module, and an accounting procedure. These modules are unified through an efficiency measurement method called data envelopment analysis (DEA). The AHP model examines the nonmonetary criteria associated with corporate goals and long-term objectives, while the simulation model is employed to analyze the tangible benefits. Both AHP and simulation models are used to generate the necessary outputs for the DEA, whereas the accounting procedure determines the required inputs, such as expenditures and resources, for realizing the potential benefits. After solving an original DEA, a modification of the DEA structure is found to be imperative, because inappropriate multipliers (weights) are assigned by the conventional use of DEA and multiple efficient decision making units (DMUs) are identified in the DEA solution. By applying weight flexibility restriction and cross efficiency methods to rectify the difficulty, this study finally identifies the most efficient FMS system.

MSC:
90B30 Production models
Software:
Expert Choice
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[1] Arbel, A.; Seidman, A., Performance evaluation of flexible manufacturing systems, IEEE transactions on systems, man, and cybernetics, 14, 606-617, (1984)
[2] Baker, K.R., Introduction to sequencing and scheduling, (1974), Wiley New York
[3] Banker, R.D.; Thrall, R.M., Estimation of return to scale using data envelopment analysis, European journal of operational research, 62, 74-84, (1992) · Zbl 0760.90001
[4] Banker, R.D.; Charnes, A.; Cooper, W.W., Some models for estimating technical and scale efficiencies in data envelopment analysis, Management science, 30, 1078-1092, (1984) · Zbl 0552.90055
[5] Bonetto, R., Flexible manufacturing systems in practice, (1988), North Oxford Academic Publishers London
[6] Boussofiane, A.; Dyson, R.G.; Thanassoulis, E., Applied data envelopment analysis, European journal of operational research, 52, 1-15, (1991)
[7] Buzacott, J.A.; Yao, D., Flexible manufacturing systems: A review of analytical models, Management science, 32, 890-905, (1986)
[8] Chandra, J.; Schall, S.O., Economic justification of flexible manufacturing systems using the Leontief input-output model, The engineering economist, 34, 27-50, (1988)
[9] Charnes, A.; Cooper, W.W., Management models and industrial applications of linear programming, (1961), Wiley New York · Zbl 0107.37004
[10] Charnes, A.; Neralic, L., Sensitivity analysis of the additive model in data envelopment analysis, European journal of operational research, 48, 332-341, (1990) · Zbl 0724.90001
[11] Charnes, A.; Cooper, W.W.; Rhodes, E., Measuring the efficiency of decision making units, European journal of operational research, 2, 429-444, (1978) · Zbl 0416.90080
[12] Charnes, A.; Cooper, W.W.; Lewin, A.Y.; Morey, R.C.; Rousseau, J., Sensitivity and stability analysis in DEA, Annals of operations research, 2, 139-156, (1985)
[13] Charnes, A.; Cooper, W.W.; Thrall, R.M., Classifying and characterizing efficiencies and inefficiencies in data envelopment analysis, Operations research letters, 5, 105-110, (1986) · Zbl 0605.90082
[14] Charnes, A.; Cooper, W.W.; Huang, Z.M.; Sun, B., Polyhedral cone-ratio DEA models with an illustrative application to large commercial banks, Journal of econometrics, 46, 73-91, (1990) · Zbl 0712.90015
[15] Charnes, A.; Cooper, W.W.; Thrall, R.M., A structure for classifying and characterizing efficiencies and inefficiencies in data envelopment analysis, Journal of productivity analysis, 2, 197-237, (1991)
[16] Charnes, A.; Cooper, W.W.; Wei, Q.L.; Huang, Z.M., Cone ratio data envelopment analysis and multi-objective programming, International journal of system science, 20, 1099-1118, (1989) · Zbl 0678.90083
[17] Charles Stark Draper Laboratory, (), Cambridge, MA
[18] Cooper, W.W.; Tone, K.; Takamori, H.; Sueyoshi, T.; Cooper, W.W.; Tone, K.; Takamori, H.; Sueyoshi, T.; Cooper, W.W.; Tone, K.; Takamori, H.; Sueyoshi, T., Data envelopment analysis: survey and interpretations, Communications of the operations research society of Japan, Communications of the operations research society of Japan, Communications of the operations research society of Japan, 39, 547-555, (1994), (in Japanese)
[19] Dyer, J.S., Remarks on the analytic hierarchy process, Management science, 36, 249-258, (1990)
[20] Forman, E.H.; Saaty, T.L., Expert choice, (1983), Decision Support Software, Inc Mclean, VA
[21] French, S., Sequencing and scheduling, (1986), Wiley New York
[22] Groover, M.P.; Zimmers, E.W., CAD/CAM computer-aided design and manufacturing, (1984), Prentice-Hall Englewood Cliffs, NY
[23] Jaikumar, R., Post industrial manufacturing, Harvard business review, 64, 69-79, (1986)
[24] Kaplan, R.B., Must CIM be justified by faith alone?, Harvard business review, 87-95, (1986), March-April
[25] Law, A.M., Introduction to simulation: A powerful tool for analyzing complex manufacturing systems, Industrial engineering, 28, 46-61, (1986)
[26] Maleki, R.A., Flexible manufacturing systems, (1991), Prentice-Hall Englewood Cliffs, NY
[27] Monahan, G.E.; Smunt, T.L., Optimal acquisition of automated flexible manufacturing processes, Operations research, 37, 288-300, (1989) · Zbl 0667.90043
[28] Primrose, P.L.; Leonard, R., The use of a conceptual model to evaluate financially flexible manufacturing system projects, (), 282-288
[29] Rosenblatt, M.J., The facilities layout problem: a multigoal approach, International journal of production research, 17, 323-332, (1979)
[30] Saaty, T.L., The analytic hierarchy process, (1980), McGraw-Hill New York · Zbl 1176.90315
[31] Saaty, T.L., An exposition of the AHP in reply to the paper ‘remarks on the analytic hierarchy process’, Management science, 36, 259-268, (1990)
[32] Seiford, L.H., A bibliography of data envelopment analysis (1978-1992), ()
[33] Seiford, L.M.; Thrall, R.M., Recent developments in DEA: the mathematical approach to frontier analysis, Journal of econometrics, 46, 7-38, (1990) · Zbl 0716.90015
[34] Sexton, T.R., The methodology of data envelopment analysis, (), No. 32
[35] Sexton, T.R.; Silkman, R.H.; Hogan, A., Data envelopment analysis: critique and extensions, (), No. 32
[36] Stam, A.; Kuula, M., Selecting a flexible manufacturing system using multiple criteria analysis, International journal of production research, 29, 803-820, (1991)
[37] Sueyoshi, T., Estimation of stochastic frontier cost function using data envelopment analysis, Journal of the operational research society, 42, 463-477, (1991)
[38] Sueyoshi, T., Measuring technical allocative and overall efficiencies using DEA algorithm, Journal of the operational research society, 43, 141-155, (1992) · Zbl 0751.90007
[39] Sueyoshi, T., Measuring industrial performance of Chinese cities by data envelopment analysis, Socio-economic planning sciences, 26, 75-88, (1992)
[40] Sueyoshi, T., Stochastic frontier production analysis: measuring performance of public telecommunications in 24 OECD countries, European journal of operational research, 74, 466-478, (1994) · Zbl 0925.90204
[41] Thompson, R.G.; Singleton, F.D.; Thrall, R.M.; Smith, B.A., Comparative site evaluations for locating high energy lab in Texas, Interfaces, 16, 1380-1395, (1986)
[42] Thompson, R.G.; Langemeier, L.N.; Lee, C.T.; Thrall, R.M., The role of multiplier bounds in efficiency analysis with application to kansas farming, Journal of econometrics, 46, 93-108, (1990)
[43] Viswanadham, N.; Narahari, Y., Performance modeling of automated manufacturing systems, (1992), Prentice-Hall Englewood Cliffs, NJ · Zbl 0800.90541
[44] Wong, Y.-H.; Beasley, J.E., Restricting weight flexibility in data envelopment analysis, Journal of the operational research society, 41, 829-835, (1990) · Zbl 0711.90005
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