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A Simulation Study of Predictable Due-Dates

Author

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  • James K. Weeks

    (University of North Carolina, Greensboro)

Abstract

This paper describes a simulation study of assigning attainable or predictable due-dates in hypothetical labor and machine constrained job shop settings of varying size and structure. Several predictable due-date assignment rules are developed based on conditional estimates of individual job flow time derived from initial simulation runs. Mean lateness, mean earliness and mean missed due-dates are used as measures of shop performance to compare the various predictable due-date rules under conditions of varying dispatching rules and shop size and structure. Results indicate that due-dates assigned based on expected job flow time and shop congestion information may provide more attainable due-dates than rules based solely upon job characteristics. In addition, better due-date performance appears to be achieved when due-date oriented dispatching rules are employed and when the shop system is not structurally complex.

Suggested Citation

  • James K. Weeks, 1979. "A Simulation Study of Predictable Due-Dates," Management Science, INFORMS, vol. 25(4), pages 363-373, April.
    • Handle: RePEc:inm:ormnsc:v:25:y:1979:i:4:p:363-373
    DOI: 10.1287/mnsc.25.4.363
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    Citations

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    Cited by:

    1. ElHafsi, Mohsen, 2000. "An operational decision model for lead-time and price quotation in congested manufacturing systems," European Journal of Operational Research, Elsevier, vol. 126(2), pages 355-370, October.
    2. Roman Kapuscinski & Sridhar Tayur, 2007. "Reliable Due-Date Setting in a Capacitated MTO System with Two Customer Classes," Operations Research, INFORMS, vol. 55(1), pages 56-74, February.
    3. Koulamas, Christos & Kyparisis, George J., 2008. "Single-machine scheduling with waiting-time-dependent due dates," European Journal of Operational Research, Elsevier, vol. 191(2), pages 577-581, December.
    4. Kleijnen, J.P.C., 1983. "Regression analysis : Assumptions, alternatives, applications," Research Memorandum FEW 135, Tilburg University, School of Economics and Management.
    5. Nekoiemehr, Nooshin & Zhang, Guoqing & Selvarajah, Esaignani, 2019. "Due date quotation in a dual-channel supply chain," International Journal of Production Economics, Elsevier, vol. 215(C), pages 102-111.
    6. Raaymakers, W. H. M. & Weijters, A. J. M. M., 2003. "Makespan estimation in batch process industries: A comparison between regression analysis and neural networks," European Journal of Operational Research, Elsevier, vol. 145(1), pages 14-30, February.
    7. Matsuura, Haruki & Tsubone, Hitoshi & Kanezashi, Masakazu, 1996. "Setting planned lead times for multi-operation jobs," European Journal of Operational Research, Elsevier, vol. 88(2), pages 287-303, January.
    8. Easton, Fred F. & Moodie, Douglas R., 1999. "Pricing and lead time decisions for make-to-order firms with contingent orders," European Journal of Operational Research, Elsevier, vol. 116(2), pages 305-318, July.
    9. Ozturk, Atakan & Kayaligil, Sinan & Ozdemirel, Nur E., 2006. "Manufacturing lead time estimation using data mining," European Journal of Operational Research, Elsevier, vol. 173(2), pages 683-700, September.
    10. Song, D. P. & Hicks, C. & Earl, C. F., 2002. "Product due date assignment for complex assemblies," International Journal of Production Economics, Elsevier, vol. 76(3), pages 243-256, April.
    11. Mark L. Spearman & Rachel Q. Zhang, 1999. "Optimal Lead Time Policies," Management Science, INFORMS, vol. 45(2), pages 290-295, February.
    12. Raaymakers, Wenny H. M. & Fransoo, Jan C., 2000. "Identification of aggregate resource and job set characteristics for predicting job set makespan in batch process industries," International Journal of Production Economics, Elsevier, vol. 68(2), pages 137-149, November.
    13. Thürer, Matthias & Land, Martin J. & Stevenson, Mark & Fredendall, Lawrence D., 2016. "Card-based delivery date promising in high-variety manufacturing with order release control," International Journal of Production Economics, Elsevier, vol. 172(C), pages 19-30.
    14. Erica L. Plambeck, 2004. "Optimal Leadtime Differentiation via Diffusion Approximations," Operations Research, INFORMS, vol. 52(2), pages 213-228, April.
    15. Pinar Keskinocak & R. Ravi & Sridhar Tayur, 2001. "Scheduling and Reliable Lead-Time Quotation for Orders with Availability Intervals and Lead-Time Sensitive Revenues," Management Science, INFORMS, vol. 47(2), pages 264-279, February.
    16. Slotnick, Susan A. & Sobel, Matthew J., 2005. "Manufacturing lead-time rules: Customer retention versus tardiness costs," European Journal of Operational Research, Elsevier, vol. 163(3), pages 825-856, June.
    17. Ozdamar, Linet & Yazgac, Tulin, 1997. "Capacity driven due date settings in make-to-order production systems," International Journal of Production Economics, Elsevier, vol. 49(1), pages 29-44, March.
    18. He, Zesheng & Yang, Taeyong & Tiger, Andy, 1996. "An exchange heuristic imbedded with simulated annealing for due-dates job-shop scheduling," European Journal of Operational Research, Elsevier, vol. 91(1), pages 99-117, May.
    19. H.M. Raaymakers, Wenny & Will M. Bertrand, J. & C. Fransoo, Jan, 2001. "Makespan estimation in batch process industries using aggregate resource and job set characteristics," International Journal of Production Economics, Elsevier, vol. 70(2), pages 145-161, March.
    20. Enns, S. T., 1998. "Lead time selection and the behaviour of work flow in job shops," European Journal of Operational Research, Elsevier, vol. 109(1), pages 122-136, August.
    21. Saeed Yaghoubi, 2015. "Due-date assignment for multi-server multi-stage assembly systems," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(7), pages 1246-1256, May.
    22. Sabuncuoglu, I. & Comlekci, A., 2002. "Operation-based flowtime estimation in a dynamic job shop," Omega, Elsevier, vol. 30(6), pages 423-442, December.

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