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Optimizing the Value Chain

Author

Listed:
  • Jeremy F. Shapiro

    (Massachusetts Institute of Technology, Cambridge, Massachusetts 02139 and J. F. Shapiro Associates, Inc., 226 Commonwealth Avenue, Boston, Massachusetts 02116)

  • Vijay M. Singhal

    (J. F. Shapiro Associates, Inc., 226 Commonwealth Avenue, Boston, Massachusetts 02116)

  • Stephen N. Wagner

    (Pyramid Logistics, 2289 Old Martin Road, De Pere, Wisconsin 54115)

Abstract

The current emphasis on optimizing the value chain, or integrated planning, advocated by business strategists and logistics practitioners indicates that the time is ripe for large increases in the number and scope of mathematical programming applications. Recent breakthroughs in information technology make it possible to develop advanced decision support systems based on mathematical programming models for integrated planning that operate on desk-top computers. We developed an advanced DSS operating on a personal computer that was used to evaluate strategic production and distribution planning questions in a large consumer products company.

Suggested Citation

  • Jeremy F. Shapiro & Vijay M. Singhal & Stephen N. Wagner, 1993. "Optimizing the Value Chain," Interfaces, INFORMS, vol. 23(2), pages 102-117, April.
    • Handle: RePEc:inm:orinte:v:23:y:1993:i:2:p:102-117
    DOI: 10.1287/inte.23.2.102
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    Citations

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    Cited by:

    1. 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.
    2. Vijayasarathy, Leo R., 2010. "Supply integration: An investigation of its multi-dimensionality and relational antecedents," International Journal of Production Economics, Elsevier, vol. 124(2), pages 489-505, April.
    3. Shapiro, Jeremy F., 1999. "On the connections among activity-based costing, mathematical programming models for analyzing strategic decisions, and the resource-based view of the firm," European Journal of Operational Research, Elsevier, vol. 118(2), pages 295-314, October.
    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. Franco Rosa & Mario Taverna & Federico Nassivera & Luca Iseppi, 2019. "Farm/crop portfolio simulations under variable risk: a case study from Italy," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 7(1), pages 1-15, December.
    6. Slats, Piet A. & Bhola, Bis & Evers, Joseph J. M. & Dijkhuizen, Gert, 1995. "Logistic chain modelling," European Journal of Operational Research, Elsevier, vol. 87(1), pages 1-20, November.
    7. Francesco Ricciotti, 2020. "From value chain to value network: a systematic literature review," Management Review Quarterly, Springer, vol. 70(2), pages 191-212, May.
    8. Thammakoranonta, Nithinant & Radhakrishnan, Abirami & Davis, Steve & Peck, John C. & Miller, Janis L., 2008. "A protocol for the order commitment decision in a supply network," International Journal of Production Economics, Elsevier, vol. 115(2), pages 515-527, October.
    9. Acar, Yavuz & Atadeniz, Sukran Nilvana, 2015. "Comparison of integrated and local planning approaches for the supply network of a globally-dispersed enterprise," International Journal of Production Economics, Elsevier, vol. 167(C), pages 204-219.
    10. Gnoni, M. G. & Iavagnilio, R. & Mossa, G. & Mummolo, G. & Di Leva, A., 2003. "Production planning of a multi-site manufacturing system by hybrid modelling: A case study from the automotive industry," International Journal of Production Economics, Elsevier, vol. 85(2), pages 251-262, August.
    11. Shapiro, Jeremy F., 1939-, 1998. "On the connections among activity-based costing, mathematical programming models for analyzing strategic decisions, and the resource based view of the firm," Working papers WP 4018-98., Massachusetts Institute of Technology (MIT), Sloan School of Management.

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