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Goal Programming for Supply Chain Optimization with Insufficient Capacity

Abstract : This article presents three different approaches to modeling and solving the classic transportation-location problem including the traditional cost-minimization mixed integer linear program. It is shown that modeling these problems as a profit maximization mixed integer program instead allows for the relaxation of a set of constraints. An alternative multi-objective optimization model using goal programming is also presented. A representative model of the fluid milk supply chain in the U.S. is developed to demonstrate the scenarios and solutions achieved by the three different models to conclude that the multi-objective model is a robust approach to solve these optimization problems even when there is only a single explicit objective.
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https://hal.inria.fr/hal-01707282
Contributor : Hal Ifip <>
Submitted on : Monday, February 12, 2018 - 4:26:23 PM
Last modification on : Thursday, August 22, 2019 - 12:04:03 PM
Long-term archiving on: : Saturday, May 5, 2018 - 8:44:05 PM

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Mohan Chiriki, Yooneun Lee, Vittaldas Prabhu. Goal Programming for Supply Chain Optimization with Insufficient Capacity. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2017, Hamburg, Germany. pp.73-80, ⟨10.1007/978-3-319-66926-7_9⟩. ⟨hal-01707282⟩

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