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2020 | OriginalPaper | Chapter

Decision Support for Material Procurement

Authors : Heiner Ackermann, Erik Diessel, Michael Helmling, Christoph Hertrich, Neil Jami, Johanna Schneider

Published in: Operations Research Proceedings 2019

Publisher: Springer International Publishing

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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.

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Literature
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go back to reference Croxton, K.L., Gendron, B., Magnanti, T.L.: A comparison of mixed-integer programming models for nonconvex piecewise linear cost minimization problems. Manag. Sci. 49(9), 1268–1273 (2003) Croxton, K.L., Gendron, B., Magnanti, T.L.: A comparison of mixed-integer programming models for nonconvex piecewise linear cost minimization problems. Manag. Sci. 49(9), 1268–1273 (2003)
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go back to reference De Boer, L., Labro, E., Morlacchi, P.: A review of methods supporting supplier selection. Eur. J. Purch. Supply Manag. 7(2), 75–89 (2001) De Boer, L., Labro, E., Morlacchi, P.: A review of methods supporting supplier selection. Eur. J. Purch. Supply Manag. 7(2), 75–89 (2001)
Metadata
Title
Decision Support for Material Procurement
Authors
Heiner Ackermann
Erik Diessel
Michael Helmling
Christoph Hertrich
Neil Jami
Johanna Schneider
Copyright Year
2020
DOI
https://doi.org/10.1007/978-3-030-48439-2_84

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