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A multi-criterion approach for Kanban allocations

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  • Andijani, A. A.

Abstract

In this paper, a single-item, multi-stage, serial production system is considered. Materials in the system are controlled by Kanban discipline. A fixed total number of Kanbans over a given number of serial workstations is allocated. Three conflicting objectives, the average throughput rate (to be maximized), the average work-in-process (to be minimized), and the average flow time (to be minimized) are considered. Stochastic system simulation is used to generate the efficient set of Kanban allocations. Then the analytic hierarchy process (AHP) is utilized to identify the most-preferred allocation. An illustrative example is given.

Suggested Citation

  • Andijani, A. A., 1998. "A multi-criterion approach for Kanban allocations," Omega, Elsevier, vol. 26(4), pages 483-493, August.
    • Handle: RePEc:eee:jomega:v:26:y:1998:i:4:p:483-493
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    1. Debasis Mitra & Isi Mitrani, 1990. "Analysis of a Kanban Discipline for Cell Coordination in Production Lines. I," Management Science, INFORMS, vol. 36(12), pages 1548-1566, December.
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    6. Wang, Hunglin & Hsu-Pin (Ben) Wang, 1991. "Optimum number of kanbans between two adjacent workstations in a JIT system," International Journal of Production Economics, Elsevier, vol. 22(3), pages 179-188, December.
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    2. John Butler & Douglas J. Morrice & Peter W. Mullarkey, 2001. "A Multiple Attribute Utility Theory Approach to Ranking and Selection," Management Science, INFORMS, vol. 47(6), pages 800-816, June.
    3. Vaidya, Omkarprasad S. & Kumar, Sushil, 2006. "Analytic hierarchy process: An overview of applications," European Journal of Operational Research, Elsevier, vol. 169(1), pages 1-29, February.
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    5. Dinçer, Hasan & Yüksel, Serhat, 2019. "An integrated stochastic fuzzy MCDM approach to the balanced scorecard-based service evaluation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 166(C), pages 93-112.

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