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Optimal Allocation of Work in Assembly Systems

Author

Listed:
  • Kenneth R. Baker

    (Amos Tuck School of Business Administration, Dartmouth College, Hanover, New Hampshire 03755)

  • Stephen G. Powell

    (Amos Tuck School of Business Administration, Dartmouth College, Hanover, New Hampshire 03755)

  • David F. Pyke

    (Amos Tuck School of Business Administration, Dartmouth College, Hanover, New Hampshire 03755)

Abstract

We investigate how to allocate work in stochastic assembly systems so as to maximize throughput. We use Markov models for systems with exponential processing times and simulation-based methods for other probability distributions. We find that assembly systems should be unbalanced in the direction of assigning less work to assembly and more to component stations. We also find that greater parallelism offers greater opportunity for improvement.

Suggested Citation

  • Kenneth R. Baker & Stephen G. Powell & David F. Pyke, 1993. "Optimal Allocation of Work in Assembly Systems," Management Science, INFORMS, vol. 39(1), pages 101-106, January.
    • Handle: RePEc:inm:ormnsc:v:39:y:1993:i:1:p:101-106
    DOI: 10.1287/mnsc.39.1.101
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    Citations

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    Cited by:

    1. Liu, Liming & Yuan, Xue-Ming, 2001. "Throughput, flow times, and service level in an unreliable assembly system," European Journal of Operational Research, Elsevier, vol. 135(3), pages 602-615, December.
    2. Kirkavak, Nureddin & Dincer, Cemal, 1999. "The general behavior of pull production systems: The allocation problems," European Journal of Operational Research, Elsevier, vol. 119(2), pages 479-494, December.
    3. Yoon, Sang Hum & Sung, Chang Sup, 2005. "Fixed pre-assembly scheduling on multiple fabrication machines," International Journal of Production Economics, Elsevier, vol. 96(1), pages 109-118, April.
    4. De Boeck, L. & Vandaele, N., 2008. "Coordination and synchronization of material flows in supply chains: An analytical approach," International Journal of Production Economics, Elsevier, vol. 116(2), pages 199-207, December.
    5. Chang Sup Sung & Sang Hum Yoon, 1998. "Minimizing total weighted completion time at a pre-assembly stage composed of two feeding machines," International Journal of Production Economics, Elsevier, vol. 54(3), pages 247-255, May.
    6. Mansouri, S. Afshin & Golmohammadi, Davood & Miller, Jason, 2019. "The moderating role of master production scheduling method on throughput in job shop systems," International Journal of Production Economics, Elsevier, vol. 216(C), pages 67-80.
    7. Liu, Liming & Yuan, Xue-Ming & Liu, John J., 2004. "Operational capacity allocation for unreliable module-based assembly systems," European Journal of Operational Research, Elsevier, vol. 155(1), pages 134-153, May.
    8. De Boeck, Liesje & Vandaele, Nico, 2011. "Analytical analysis of a generic assembly system," International Journal of Production Economics, Elsevier, vol. 131(1), pages 107-114, May.
    9. Bartholdi III, John J. & Eisenstein, Donald D. & Lim, Yun Fong, 2006. "Bucket brigades on in-tree assembly networks," European Journal of Operational Research, Elsevier, vol. 168(3), pages 870-879, February.
    10. Rekhi, Ishpal & Chand, Suresh & Moskowitz, Herbert, 2002. "A Note on optimal allocation of work in stochastic assembly systems," European Journal of Operational Research, Elsevier, vol. 137(2), pages 387-393, March.
    11. Baker, Kenneth R. & Powell, Stephen G., 1995. "A predictive model for the throughput of simple assembly systems," European Journal of Operational Research, Elsevier, vol. 81(2), pages 336-345, March.

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