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Using Simulation and Data Envelopment Analysis to Compare Assembly Line Balancing Solutions

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  • Patrick McMullen
  • Gregory Frazier

Abstract

This paper presents a technique for comparing the results of different assembly line balancing strategies by using Data Envelopment Analysis (DEA). Initially, several heuristics--which can be thought of as assembly line balancing strategies--were used to solve seven line-balancing problems. The resulting line balance solutions provided two pieces of information that were of particular interest: the number of workers needed and the amount of equipment needed. These two items were considered inputs for DEA. The different line balance solutions were then used as layouts for simulated production runs. From the simulation experiments, several output performance measures were obtained which were of particular interest and were used as outputs for DEA. The analysis shows that DEA is effective in suggesting which line balancing heuristics are most promising. Copyright Kluwer Academic Publishers 1999

Suggested Citation

  • Patrick McMullen & Gregory Frazier, 1999. "Using Simulation and Data Envelopment Analysis to Compare Assembly Line Balancing Solutions," Journal of Productivity Analysis, Springer, vol. 11(2), pages 149-168, April.
  • Handle: RePEc:kap:jproda:v:11:y:1999:i:2:p:149-168
    DOI: 10.1023/A:1007732016717
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    References listed on IDEAS

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    1. Doyle, JR & Green, RH, 1991. "Comparing products using data envelopment analysis," Omega, Elsevier, vol. 19(6), pages 631-638.
    2. 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.
    3. Thompson, Russell G. & Langemeier, Larry N. & Lee, Chih-Tah & Lee, Euntaik & Thrall, Robert M., 1990. "The role of multiplier bounds in efficiency analysis with application to Kansas farming," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 93-108.
    4. Fred M. Tonge, 1965. "Assembly Line Balancing Using Probabilistic Combinations of Heuristics," Management Science, INFORMS, vol. 11(7), pages 727-735, May.
    5. 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.
    6. McMullen, Patrick R. & Frazier, Gregory V., 1997. "A heuristic for solving mixed-model line balancing problems with stochastic task durations and parallel stations," International Journal of Production Economics, Elsevier, vol. 51(3), pages 177-190, September.
    7. R. Allen & A. Athanassopoulos & R.G. Dyson & E. Thanassoulis, 1997. "Weights restrictions and value judgements in Data Envelopment Analysis: Evolution, development and future directions," Annals of Operations Research, Springer, vol. 73(0), pages 13-34, October.
    8. .Ilker Baybars, 1986. "A Survey of Exact Algorithms for the Simple Assembly Line Balancing Problem," Management Science, INFORMS, vol. 32(8), pages 909-932, August.
    9. G. M. Buxey, 1974. "Assembly Line Balancing with Multiple Stations," Management Science, INFORMS, vol. 20(6), pages 1010-1021, February.
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