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Experimental results for the allocation of buffers in closed serial production lines

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  • Staley, Dan R.
  • Kim, David S.

Abstract

In this paper, the description and results of simulation experiments investigating buffer allocation in closed serial production lines are presented. The production lines studied consist of either reliable or unreliable workstations, and have asynchronous movement of jobs. The experimental results are used to demonstrate a buffer allocation decomposition result for closed production lines, and also provide evidence that optimal buffer allocations in closed lines are less sensitive to bottleneck severity than in open production lines. Another key finding is that buffer allocation decisions have more impact in closed reliable production lines than in closed unreliable production lines.

Suggested Citation

  • Staley, Dan R. & Kim, David S., 2012. "Experimental results for the allocation of buffers in closed serial production lines," International Journal of Production Economics, Elsevier, vol. 137(2), pages 284-291.
    • Handle: RePEc:eee:proeco:v:137:y:2012:i:2:p:284-291
    DOI: 10.1016/j.ijpe.2012.02.011
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    References listed on IDEAS

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    1. Frederick S. Hillier & Kut C. So & Ronald W. Boling, 1993. "Notes: Toward Characterizing the Optimal Allocation of Storage Space in Production Line Systems with Variable Processing Times," Management Science, INFORMS, vol. 39(1), pages 126-133, January.
    2. Eginhard J. Muth, 1979. "The Reversibility Property of Production Lines," Management Science, INFORMS, vol. 25(2), pages 152-158, February.
    3. Papadopoulos, H. T. & Vidalis, M. I., 2001. "Minimizing WIP inventory in reliable production lines," International Journal of Production Economics, Elsevier, vol. 70(2), pages 185-197, March.
    4. Richard Conway & William Maxwell & John O. McClain & L. Joseph Thomas, 1988. "The Role of Work-in-Process Inventory in Serial Production Lines," Operations Research, INFORMS, vol. 36(2), pages 229-241, April.
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    Cited by:

    1. Guan Wang & Yang Woo Shin & Dug Hee Moon, 2016. "Comparison of three flow line layouts with unreliable machines and profit maximization," Flexible Services and Manufacturing Journal, Springer, vol. 28(4), pages 669-693, December.
    2. Nahas, Nabil & Nourelfath, Mustapha & Gendreau, Michel, 2014. "Selecting machines and buffers in unreliable assembly/disassembly manufacturing networks," International Journal of Production Economics, Elsevier, vol. 154(C), pages 113-126.
    3. Sabry Shaaban & Tom Mcnamara & Sarah Hudson, 2015. "The impact of failure, repair and joint imbalance of processing time means & buffer sizes on the performance of unpaced production lines," Post-Print hal-01205567, HAL.

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