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Design and Operation of a Multicommodity Production/Distribution System Using Primal Goal Decomposition

Author

Listed:
  • Gerald G. Brown

    (Department of Operations Research, Naval Postgraduate School, Monterey, California 93943)

  • Glenn W. Graves

    (Graduate School of Management, University of California, Los Angeles, California 90024)

  • Maria D. Honczarenko

    (Nabisco Brands, Inc., East Hanover, New Jersey 07936)

Abstract

An optimization-based decision support system has been developed and used by NABISCO to manage complex problems involving facility selection, equipment location and utilization, and manufacture and distribution of products such as the familiar Ritz Crackers, Oreo Cookies, Fig Newtons, etc. (all product names trademarks of NABISCO). A mixed-integer, multi-commodity model is presented for the problems at hand, and a new class of goal decompositions is introduced to yield pure network subproblems for each commodity; the associated master problems have several notable properties which contribute to the effectiveness of the algorithm. Excellent quality solutions for problems with more than 40,000 variables (including several hundred binary variables with fixed charges) and in excess of 20,000 constraints require only 0.6 megabytes region and less than one compute minute on a time-shared IBM 3033 computer; average problems (with fewer binary variables) require only a second or two. The solution method has more to recommend it than sheer efficiency: new insights are given for the fundamental convergence properties of formal decomposition techniques. Several applications of this powerful interactive tool are discussed.

Suggested Citation

  • Gerald G. Brown & Glenn W. Graves & Maria D. Honczarenko, 1987. "Design and Operation of a Multicommodity Production/Distribution System Using Primal Goal Decomposition," Management Science, INFORMS, vol. 33(11), pages 1469-1480, November.
  • Handle: RePEc:inm:ormnsc:v:33:y:1987:i:11:p:1469-1480
    DOI: 10.1287/mnsc.33.11.1469
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    Citations

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    Cited by:

    1. Thomas, Douglas J. & Griffin, Paul M., 1996. "Coordinated supply chain management," European Journal of Operational Research, Elsevier, vol. 94(1), pages 1-15, October.
    2. Vidal, Carlos J. & Goetschalckx, Marc, 1997. "Strategic production-distribution models: A critical review with emphasis on global supply chain models," European Journal of Operational Research, Elsevier, vol. 98(1), pages 1-18, April.
    3. Majid Azizi & Mehdi Faezipour, 2016. "Furniture industry management by applying SCM," Cogent Business & Management, Taylor & Francis Journals, vol. 3(1), pages 1155811-115, December.
    4. Vila, Didier & Martel, Alain & Beauregard, Robert, 2006. "Designing logistics networks in divergent process industries: A methodology and its application to the lumber industry," International Journal of Production Economics, Elsevier, vol. 102(2), pages 358-378, August.
    5. Cordeau, Jean-François & Laporte, Gilbert & Pasin, Federico, 2008. "An iterated local search heuristic for the logistics network design problem with single assignment," International Journal of Production Economics, Elsevier, vol. 113(2), pages 626-640, June.
    6. Eskigun, Erdem & Uzsoy, Reha & Preckel, Paul V. & Beaujon, George & Krishnan, Subramanian & Tew, Jeffrey D., 2005. "Outbound supply chain network design with mode selection, lead times and capacitated vehicle distribution centers," European Journal of Operational Research, Elsevier, vol. 165(1), pages 182-206, August.
    7. Blossey, Gregor & Hahn, Gerd J. & Koberstein, Achim, 2022. "Planning pharmaceutical manufacturing networks in the light of uncertain production approval times," International Journal of Production Economics, Elsevier, vol. 244(C).
    8. Halit Üster & Gopalakrishnan Easwaran & Elif Akçali & Sila Çetinkaya, 2007. "Benders decomposition with alternative multiple cuts for a multi‐product closed‐loop supply chain network design model," Naval Research Logistics (NRL), John Wiley & Sons, vol. 54(8), pages 890-907, December.
    9. Jabarzare, Ziba & Zolfagharinia, Hossein & Najafi, Mehdi, 2020. "Dynamic interdiction networks with applications in illicit supply chains," Omega, Elsevier, vol. 96(C).
    10. Zimmer, Kirstin, 2002. "Supply chain coordination with uncertain just-in-time delivery," International Journal of Production Economics, Elsevier, vol. 77(1), pages 1-15, May.
    11. Goetschalckx, Marc & Vidal, Carlos J. & Dogan, Koray, 2002. "Modeling and design of global logistics systems: A review of integrated strategic and tactical models and design algorithms," European Journal of Operational Research, Elsevier, vol. 143(1), pages 1-18, November.
    12. Erdem Eskigun & Reha Uzsoy & Paul V. Preckel & George Beaujon & Subramanian Krishnan & Jeffrey D. Tew, 2007. "Outbound supply chain network design with mode selection and lead time considerations," Naval Research Logistics (NRL), John Wiley & Sons, vol. 54(3), pages 282-300, April.
    13. Ming Fan & Jan Stallaert & Andrew B. Whinston, 2003. "Decentralized Mechanism Design for Supply Chain Organizations Using an Auction Market," Information Systems Research, INFORMS, vol. 14(1), pages 1-22, March.
    14. Gerald G. Brown & Richard E. Rosenthal, 2008. "Optimization Tradecraft: Hard-Won Insights from Real-World Decision Support," Interfaces, INFORMS, vol. 38(5), pages 356-366, October.
    15. Jayaraman, Vaidyanathan & Pirkul, Hasan, 2001. "Planning and coordination of production and distribution facilities for multiple commodities," European Journal of Operational Research, Elsevier, vol. 133(2), pages 394-408, January.

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