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Coordinated Scheduling of Production and Delivery with Production Window and Delivery Capacity Constraints

  • Bin Fu
  • Yumei Huo
  • Hairong Zhao
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6124)

Abstract

This paper considers the coordinated production and delivery scheduling problem. We have a planning horizon consisting of z delivery times each with a unique delivery capacity. Suppose we have a set of jobs each with a committed delivery time, processing time, production window, and profit. The company can earn the profit if the job is produced in its production window and delivered before its committed delivery time. From the company point of view, we are interested in picking a subset of jobs to process and deliver so as to maximize the total profit subject to the delivery capacity constraint. We consider both the single delivery time case and the multiple delivery times case.

Suppose the given set of jobs are k-disjoint, that is, the jobs can be partitioned into k lists of jobs such that the jobs in each list have disjoint production windows. When k is a constant, we developed a PTAS for the single delivery case. For multiple delivery times case, we also develop a PTAS when the number of delivery times is a constant as well.

Keywords

Schedule Problem Delivery Time Production Schedule Feasible Schedule Polynomial Time Approximation Scheme 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Amstrong, R., Gao, S., Lei, L.: A zero-inventory production and distribution problem with a fixed customer sequence. Ann. Oper. Res. 159, 395–414 (2008)CrossRefMathSciNetGoogle Scholar
  2. 2.
    Bilgen, B., Ozkarahan, I.: Strategic tactical and operational production-distribution models: A review. Internat. J. Tech. Management 28, 151–171 (2004)CrossRefGoogle Scholar
  3. 3.
    Chen, Z.-L.: Integrated production and distribution operations: Taxonomy, models, and review. In: Simchi-Levi, D., Wu, S.D., Shen, Z.-J. (eds.) Handbook of Quantitative Supply Chain Analysis: Modeling in the E-Business Era. Kluwer Academic Publishers, Norwell (2004)Google Scholar
  4. 4.
    Chen, Z.-L.: Integrated production and outbound distribution scheduling: Review and extensions. In: Operations Research (2009) (to appear)Google Scholar
  5. 5.
    Erenguc, S.S., Simpson, N.C., Vakharia, A.J.: Integrated production/ distribution planning in supply chains: An invited review. Eur. J. Oper. Res. 115, 219–236 (1999)CrossRefGoogle Scholar
  6. 6.
    Garcia, J.M., Lozano, S.: Production and delivery scheduling problem with time windows. Computers & Industrial Engineering 48, 733–742 (2005)CrossRefGoogle Scholar
  7. 7.
    Goetschalckx, M., Vidal, C.J., Dogan, K.: Modeling and design of global logistics systems: A review of integrated strategic and tactical models and design algorithms. Eur. J. Oper. Res. 143, 1–18 (2002)zbMATHCrossRefGoogle Scholar
  8. 8.
    Huo, Y., Leung, J.Y.-T., Wang, X.: Integrated Production and Delivery Scheduling with disjoint windows. Discrete Applied Math. (2009) (to appear)Google Scholar
  9. 9.
    Kroon, L.G., Salomon, M., Van Wassenhove, L.N.: Exact and approximation algorithms for the operational fixed interval scheduling problem. Eur. J. Oper. Res. 82, 190–205 (1995)zbMATHCrossRefGoogle Scholar
  10. 10.
    Sarmiento, A.M., Nagi, R.: A review of integrated analysis of production-distribution systems. IIE Trans. 31, 1061–1074 (1999)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Bin Fu
    • 1
  • Yumei Huo
    • 2
  • Hairong Zhao
    • 3
  1. 1.Department of Computer ScienceUniversity of Texas–Pan AmericanEdinburgUSA
  2. 2.Department of Computer ScienceCollege of Staten Island, CUNY, Staten IslandNew YorkUSA
  3. 3.Department of Mathematics, Computer Science & StatisticsPurdue UniversityHammondUSA

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