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Improving warehouse responsiveness by job priority management

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  • Kim, T.Y.

Abstract

Warehouses employ order cut-off times to ensure sufficient time for fulfilment. To satisfy higher consumer expectations, these cut-off times are gradually postponed to improve order responsiveness. Warehouses therefore have to allocate jobs more efficiently to meet compressed response times. Priority job management by means of flow-shop models has been used mainly for manufacturing systems but can also be applied for warehouse job scheduling to accommodate tighter cut-off times. This study investigates which priority rule performs best under which circumstances. The performance of each rule is evaluated in terms of a common cost criterion that integrates the objectives of low earliness, low tardiness, low labour idleness, and low work-in-process stocks. A real-world case study for a warehouse distribution centre of an original equipment manufacturer in consumer electronics provides the input parameters for a simulation study. The simulation outcomes validate several strategies for improved responsiveness. In particular, the critical ratio rule has the fastest flow-time and performs best for warehouse scenarios with expensive products and high labour costs.

Suggested Citation

  • Kim, T.Y., 2018. "Improving warehouse responsiveness by job priority management," Econometric Institute Research Papers EI2018-02, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    • Handle: RePEc:ems:eureir:112492
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    1. Van Nieuwenhuyse, Inneke & de Koster, René B.M., 2009. "Evaluating order throughput time in 2-block warehouses with time window batching," International Journal of Production Economics, Elsevier, vol. 121(2), pages 654-664, October.
    2. Kenneth R. Baker & Gary D. Scudder, 1990. "Sequencing with Earliness and Tardiness Penalties: A Review," Operations Research, INFORMS, vol. 38(1), pages 22-36, February.
    3. Paul J. Burke, 1956. "The Output of a Queuing System," Operations Research, INFORMS, vol. 4(6), pages 699-704, December.
    4. de Koster, Rene & Le-Duc, Tho & Roodbergen, Kees Jan, 2007. "Design and control of warehouse order picking: A literature review," European Journal of Operational Research, Elsevier, vol. 182(2), pages 481-501, October.
    5. William L. Berry & Vittal Rao, 1975. "Critical Ratio Scheduling: An Experimental Analysis," Management Science, INFORMS, vol. 22(2), pages 192-201, October.
    6. John J. Bartholdi & Donald D. Eisenstein & Robert D. Foley, 2001. "Performance of Bucket Brigades When Work Is Stochastic," Operations Research, INFORMS, vol. 49(5), pages 710-719, October.
    7. Chien-Ming Chen & Yeming Gong & René de Koster & Jo A.E.E. Van Nunen, 2010. "A Flexible Evaluative Framework for Order Picking Systems," Post-Print hal-02312453, HAL.
    8. Wayne E. Smith, 1956. "Various optimizers for single‐stage production," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 3(1‐2), pages 59-66, March.
    9. Stephen C. Graves & Warren H. Hausman & Leroy B. Schwarz, 1977. "Storage-Retrieval Interleaving in Automatic Warehousing Systems," Management Science, INFORMS, vol. 23(9), pages 935-945, May.
    10. Ramasesh, R, 1990. "Dynamic job shop scheduling: A survey of simulation research," Omega, Elsevier, vol. 18(1), pages 43-57.
    11. Steven Hackman & Edward Frazelle & Paul Griffin & Susan Griffin & Dimitra Vlasta, 2001. "Benchmarking Warehousing and Distribution Operations: An Input-Output Approach," Journal of Productivity Analysis, Springer, vol. 16(1), pages 79-100, July.
    12. S. M. Johnson, 1954. "Optimal two‐ and three‐stage production schedules with setup times included," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 1(1), pages 61-68, March.
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    Keywords

    responsiveness; queuing model; order fulfilment; cut-off operation; flow-shop scheduling;
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