Skip to Main content Skip to Navigation
Conference papers

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.
Document type :
Conference papers
Complete list of metadata
Contributor : Hal Ifip Connect in order to contact the contributor
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


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License



Mohan Chiriki, Yooneun Lee, Vittaldas V. 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⟩



Record views


Files downloads