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An efficiency measurement framework for multi-stage production systems

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  • Boaz Golany
  • Steven Hackman
  • Ury Passy

Abstract

We develop an efficiency measurement framework for systems composed of two subsystems arranged in series that simultaneously computes the efficiency of the aggregate system and each subsystem. Our approach expands the technology sets of each subsystem by allowing each to acquire resources from the other in exchange for delivery of the appropriate (intermediate or final) product, and to form composites from both subsystems. Managers of each subsystem will not agree to ‘`vertical integration’' initiatives unless each subsystem will be more efficient than what each can achieve by separately applying conventional efficiency analysis. A Pareto Efficient frontier characterizes the acceptable set of efficiencies of each subsystem from which the managers will negotiate to select the final outcome. Three proposals for the choice for the Pareto efficient point are discussed: the one that achieves the largest equiproportionate reduction in the classical efficiencies; the one that achieves the largest equal reduction in efficiency; and the one that maximizes the radial contraction in the aggregate consumption of resources originally employed before integration. We show how each choice for the Pareto efficient point determines a derived measure of aggregate efficiency. An extensive numerical example is used to illustrate exactly how the 2 subsystems can significantly improve their operational efficiencies via integration beyond what would be predicted by conventional analysis. Copyright Springer Science+Business Media, LLC 2006

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  • Boaz Golany & Steven Hackman & Ury Passy, 2006. "An efficiency measurement framework for multi-stage production systems," Annals of Operations Research, Springer, vol. 145(1), pages 51-68, July.
  • Handle: RePEc:spr:annopr:v:145:y:2006:i:1:p:51-68:10.1007/s10479-006-0025-8
    DOI: 10.1007/s10479-006-0025-8
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    1. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    2. Lothgren, Mickael & Tambour, Magnus, 1999. "Productivity and customer satisfaction in Swedish pharmacies: A DEA network model," European Journal of Operational Research, Elsevier, vol. 115(3), pages 449-458, June.
    3. Russell, R. Robert, 1985. "On the Axiomatic Approach to the Measurement of Technical Efficiency," Working Papers 85-33, C.V. Starr Center for Applied Economics, New York University.
    4. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    5. repec:bla:scandj:v:94:y:1992:i:4:p:599-608 is not listed on IDEAS
    6. Robert Russell, R., 1985. "Measures of technical efficiency," Journal of Economic Theory, Elsevier, vol. 35(1), pages 109-126, February.
    7. Rolf Färe & Gerald Whittaker, 1995. "An Intermediate Input Model Of Dairy Production Using Complex Survey Data," Journal of Agricultural Economics, Wiley Blackwell, vol. 46(2), pages 201-213, May.
    8. Steven Hackman & Edward Frazelle & Paul Griffin & Susan Griffin & Dimitra Vlasta, 2001. "Benchmarking Warehousing and Distribution Operations: An Input-Output Approach," Journal of Productivity Analysis, Springer, vol. 16(1), pages 79-100, July.
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