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A Decision Support System for Purchasing Management of Large Projects

Author

Listed:
  • Boaz Ronen

    (Tel Aviv University, Tel Aviv, Israel)

  • Dan Trietsch

    (Naval Postgraduate School, Monterey, California)

Abstract

This paper describes a model based Decision Support System (DSS) for purchasing materials and components for large projects. The DSS may be used under two scenarios. Under the first scenario, we have a project to execute, and we are looking for a good way to manage the purchasing to minimize the expected costs. The decisions under our control are when and from whom to order each item. Under the other scenario, we are bidding for the project, and wish to assess the costs associated with the purchasing decisions which we should consider before making our bid. In both cases, we take into account expected out of pocket costs as well as lateness and/or expediting penalties. The DSS is designed to help choose the best supplier for each item and schedule the placement of the orders—decisions which are very difficult to make well without such a model based DSS.

Suggested Citation

  • Boaz Ronen & Dan Trietsch, 1988. "A Decision Support System for Purchasing Management of Large Projects," Operations Research, INFORMS, vol. 36(6), pages 882-890, December.
    • Handle: RePEc:inm:oropre:v:36:y:1988:i:6:p:882-890
    DOI: 10.1287/opre.36.6.882
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    Citations

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    Cited by:

    1. Kolisch, R., 2000. "Integration of assembly and fabrication for make-to-order production," International Journal of Production Economics, Elsevier, vol. 68(3), pages 287-306, December.
    2. Hsu, C.-H. & Wang, Fu-Kwun & Tzeng, Gwo-Hshiung, 2012. "The best vendor selection for conducting the recycled material based on a hybrid MCDM model combining DANP with VIKOR," Resources, Conservation & Recycling, Elsevier, vol. 66(C), pages 95-111.
    3. B. De Reyck & Y. Grushka-Cockayne & R. Leus, 2007. "A New Challenge in Project Scheduling. The Incorporation of Activity Failures," Review of Business and Economic Literature, KU Leuven, Faculty of Economics and Business (FEB), Review of Business and Economic Literature, vol. 0(3), pages 410-435.
    4. Degraeve, Zeger & Labro, Eva & Roodhooft, Filip, 2000. "An evaluation of vendor selection models from a total cost of ownership perspective," European Journal of Operational Research, Elsevier, vol. 125(1), pages 34-58, August.
    5. Yuangao Chen & Shuo Wang & Jianrong Yao & Yixiao Li & Shuiqing Yang, 2018. "Socially responsible supplier selection and sustainable supply chain development: A combined approach of total interpretive structural modeling and fuzzy analytic network process," Business Strategy and the Environment, Wiley Blackwell, vol. 27(8), pages 1708-1719, December.
    6. Joseph G. Davis & Eswaran Subrahmanian & Arthur W. Westerberg, 1999. "SCOPE: a blackboard model‐based decision support system for crude‐oil trading," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 8(2), pages 89-104, June.
    7. Li, Haitao & Womer, Keith, 2012. "Optimizing the supply chain configuration for make-to-order manufacturing," European Journal of Operational Research, Elsevier, vol. 221(1), pages 118-128.

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