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Process Flexibility for Multiperiod Production Systems

Author

Listed:
  • Cong Shi

    (Industrial and Operations Engineering, University of Michigan, Ann Arbor, Michigan 48109)

  • Yehua Wei

    (Carroll School of Management, Boston College, Chestnut Hill, Massachusetts 02467)

  • Yuan Zhong

    (Booth School of Business, University of Chicago, Chicago, Illinois 60637)

Abstract

We develop a theory for the design of process flexibility in a multiperiod make-to-order production system. We propose and formalize a notion of “effective chaining” termed the generalized chaining gap (GCG), which can be viewed as a natural extension of classical chaining structure from the process flexibility literature. Using the GCG, we prove that, in a general system with high capacity utilization, one only needs a sparse flexibility structure with m plus n arcs to achieve similar performance as full flexibility, where m and n are equal to the number of plants and products in the system, respectively. The proof provides a simple and efficient algorithm for finding such sparse structures. Also, we show that the requirement of m plus n arcs is tight by explicitly constructing systems in which even the best flexibility structure with m plus n minus 1 arcs cannot achieve the same asymptotic performance as full flexibility. The goal of this paper is to make progress toward the better understanding of the key design principles of process flexibility structures in a multiperiod environment.

Suggested Citation

  • Cong Shi & Yehua Wei & Yuan Zhong, 2019. "Process Flexibility for Multiperiod Production Systems," Operations Research, INFORMS, vol. 67(5), pages 1300-1320, September.
  • Handle: RePEc:inm:oropre:v:67:y:2019:i:5:p:1300-1320
    DOI: opre.2018.1810
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    References listed on IDEAS

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    8. Shixin Wang, 2023. "The Power of Simple Menus in Robust Selling Mechanisms," Papers 2310.17392, arXiv.org, revised Sep 2024.
    9. David A. Goldberg & Martin I. Reiman & Qiong Wang, 2021. "A Survey of Recent Progress in the Asymptotic Analysis of Inventory Systems," Production and Operations Management, Production and Operations Management Society, vol. 30(6), pages 1718-1750, June.

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