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Synchronized Development of Production, Inventory, and Distribution Schedules

Author

Listed:
  • F. Fumero

    (Dipartimento di Economia e Produzione, Politecnico di Milano, 120133 Milano, Italy)

  • C. Vercellis

    (Dipartimento di Economia e Produzione, Politecnico di Milano, 120133 Milano, Italy)

Abstract

An integrated optimization model for production and distribution planning is proposed, with the aim of optimally coordinating important and interrelated logistic decisions such as capacity management, inventory allocation, and vehicle routing. The integrated model is solved via Lagrangean relaxation and both lower bounds and heuristic feasible solutions are obtained. Computational results on test problems of various sizes are provided to show the effectiveness of the proposed solution scheme. Moreover, the feasible solution obtained is compared to that generated by an alternative decoupled approach in which a production plan is first developed and a distribution schedule is consequently derived. Computational results seem to indicate a substantial advantage of the synchronized approach over the decoupled decision process.

Suggested Citation

  • F. Fumero & C. Vercellis, 1999. "Synchronized Development of Production, Inventory, and Distribution Schedules," Transportation Science, INFORMS, vol. 33(3), pages 330-340, August.
  • Handle: RePEc:inm:ortrsc:v:33:y:1999:i:3:p:330-340
    DOI: 10.1287/trsc.33.3.330
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    References listed on IDEAS

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    1. Sharp, J Frank & Snyder, James C & Greene, James H, 1970. "A Decomposition Algorithm for Solving the Multifacility Production-Transportation Problem with Nonlinear Production Costs," Econometrica, Econometric Society, vol. 38(3), pages 490-506, May.
    2. Fred Glover & Gene Jones & David Karney & Darwin Klingman & John Mote, 1979. "An Integrated Production, Distribution, and Inventory Planning System," Interfaces, INFORMS, vol. 9(5), pages 21-35, November.
    3. Julian Benjamin, 1989. "An Analysis of Inventory and Transportation Costs in a Constrained Network," Transportation Science, INFORMS, vol. 23(3), pages 177-183, August.
    4. T. William Chien & Anantaram Balakrishnan & Richard T. Wong, 1989. "An Integrated Inventory Allocation and Vehicle Routing Problem," Transportation Science, INFORMS, vol. 23(2), pages 67-76, May.
    5. Clarence H. Martin & Denver C. Dent & James C. Eckhart, 1993. "Integrated Production, Distribution, and Inventory Planning at Libbey-Owens-Ford," Interfaces, INFORMS, vol. 23(3), pages 68-78, June.
    6. Chien, T. William, 1993. "Determining profit-maximizing production/shipping policies in a one-to-one direct shipping, stochastic demand environment," European Journal of Operational Research, Elsevier, vol. 64(1), pages 83-102, January.
    7. Morris A. Cohen & Hau L. Lee, 1988. "Strategic Analysis of Integrated Production-Distribution Systems: Models and Methods," Operations Research, INFORMS, vol. 36(2), pages 216-228, April.
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