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Decision Support for Material Procurement

In: Operations Research Proceedings 2019

Author

Listed:
  • Heiner Ackermann

    (Fraunhofer ITWM)

  • Erik Diessel

    (Fraunhofer ITWM)

  • Michael Helmling

    (Fraunhofer ITWM)

  • Christoph Hertrich

    (Fraunhofer ITWM)

  • Neil Jami

    (Fraunhofer ITWM)

  • Johanna Schneider

    (Fraunhofer ITWM)

Abstract

Buying raw materials at low cost is important for the economic success of manufacturing companies. In this extended abstract, we summarize some of the cost-driving constraints and cost-saving opportunities available to a global manufacturer when purchasing raw materials. We outline how to model the procurement problem as a mixed-integer linear program, and describe the use of Sankey diagrams to compare alternative order volume plans.

Suggested Citation

  • Heiner Ackermann & Erik Diessel & Michael Helmling & Christoph Hertrich & Neil Jami & Johanna Schneider, 2020. "Decision Support for Material Procurement," Operations Research Proceedings, in: Janis S. Neufeld & Udo Buscher & Rainer Lasch & Dominik Möst & Jörn Schönberger (ed.), Operations Research Proceedings 2019, pages 693-699, Springer.
  • Handle: RePEc:spr:oprchp:978-3-030-48439-2_84
    DOI: 10.1007/978-3-030-48439-2_84
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    Cited by:

    1. Heiner Ackermann & Erik Diessel & Michael Helmling & Neil Jami & Johanna Münch, 2024. "Computing Optimal Mitigation Plans for Force-Majeure Scenarios in Dynamic Manufacturing Chains," SN Operations Research Forum, Springer, vol. 5(2), pages 1-35, June.

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