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ACLIPS: A Capacity and Lead Time Integrated Procedure for Scheduling

Author

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  • Marc R. Lambrecht

    (Department of Applied Economics, Katholieke Universiteit Leuven, Belgium 3000)

  • Philip L. Ivens

    (Department of Applied Economics, Katholieke Universiteit Leuven, Belgium 3000)

  • Nico J. Vandaele

    (Faculty of Applied Economics, UFSIA, Antwerp, Belgium 2000)

Abstract

We propose a general hierarchical procedure to address real-life job shop scheduling problems. The shop typically produces a variety of products, each with its own arrival stream, its own route through the shop and a given customer due date. The procedure first determines the manufacturing lot sizes for each product. The objective is to minimize the expected lead time, and therefore we model the production environment as a queueing network. Given these lead times, release dates are set dynamically. This in turn creates a time window for every manufacturing order in which the various operations have to be sequenced. The sequencing logic is based on an Extended Shifting Bottleneck Procedure. These three major decisions are next incorporated into a four-phase, hierarchical, operational implementation scheme. A small numerical example is used to illustrate the methodology. The final objective however is to develop a procedure that is useful for large, real-life shops. We therefore report on a real-life application.

Suggested Citation

  • Marc R. Lambrecht & Philip L. Ivens & Nico J. Vandaele, 1998. "ACLIPS: A Capacity and Lead Time Integrated Procedure for Scheduling," Management Science, INFORMS, vol. 44(11-Part-1), pages 1548-1561, November.
    • Handle: RePEc:inm:ormnsc:v:44:y:1998:i:11-part-1:p:1548-1561
    DOI: 10.1287/mnsc.44.11.1548
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    References listed on IDEAS

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    Cited by:

    1. Nico Vandaele & Inneke Van Nieuwenhuyse & Diederik Claerhout & Rony Cremmery, 2008. "Load-Based POLCA: An Integrated Material Control System for Multiproduct, Multimachine Job Shops," Manufacturing & Service Operations Management, INFORMS, vol. 10(2), pages 181-197, September.
    2. Nico J. Vandaele & Marc R. Lambrecht & Nicolas De Schuyter & Rony Cremmery, 2000. "Spicer Off-Highway Products Division-Brugge Improves its Lead-Time and Scheduling Performance," Interfaces, INFORMS, vol. 30(1), pages 83-95, February.
    3. Van Woensel, T. & Kerbache, L. & Peremans, H. & Vandaele, N., 2008. "Vehicle routing with dynamic travel times: A queueing approach," European Journal of Operational Research, Elsevier, vol. 186(3), pages 990-1007, May.
    4. Vandaele, Nico & Van Nieuwenhuyse, Inneke & Cupers, Sascha, 2003. "Optimal grouping for a nuclear magnetic resonance scanner by means of an open queueing model," European Journal of Operational Research, Elsevier, vol. 151(1), pages 181-192, November.
    5. Van Nieuwenhuyse, Inneke & Vandaele, Nico & Rajaram, Kumar & Karmarkar, Uday S., 2007. "Buffer sizing in multi-product multi-reactor batch processes: Impact of allocation and campaign sizing policies," European Journal of Operational Research, Elsevier, vol. 179(2), pages 424-443, June.
    6. Jalali, Hamed & Carmen, Raïsa & Van Nieuwenhuyse, Inneke & Boute, Robert, 2019. "Quality and pricing decisions in production/inventory systems," European Journal of Operational Research, Elsevier, vol. 272(1), pages 195-206.
    7. Stefan Creemers & Marc Lambrecht, 2010. "Queueing models for appointment-driven systems," Annals of Operations Research, Springer, vol. 178(1), pages 155-172, July.
    8. I. Van Nieuwenhuyse, 2008. "Lot sizing in stochastic flowshops. Striking the balance between capacity and flow," Review of Business and Economic Literature, KU Leuven, Faculty of Economics and Business (FEB), Review of Business and Economic Literature, vol. 0(2), pages 147-160.
    9. De Boeck, L. & Vandaele, N., 2008. "Coordination and synchronization of material flows in supply chains: An analytical approach," International Journal of Production Economics, Elsevier, vol. 116(2), pages 199-207, December.
    10. Jans, R.F. & Degraeve, Z., 2005. "Modeling Industrial Lot Sizing Problems: A Review," ERIM Report Series Research in Management ERS-2005-049-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    11. Kris Lieckens & Nico Vandaele, 2016. "Differential evolution to solve the lot size problem in stochastic supply chain management systems," Annals of Operations Research, Springer, vol. 242(2), pages 239-263, July.
    12. S. Creemers & M. Lambrecht & N. Vandaele, 2007. "Queueing Models in Healthcare," Review of Business and Economic Literature, KU Leuven, Faculty of Economics and Business (FEB), Review of Business and Economic Literature, vol. 0(3), pages 471-498.
    13. X.J. Wang & S.H. Choi, 2016. "Impacts of carbon emission reduction mechanisms on uncertain make-to-order manufacturing," International Journal of Production Research, Taylor & Francis Journals, vol. 54(11), pages 3311-3328, June.

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