Goal programming for supply chain optimization with insufficient capacity

Mohan Chiriki, Yooneun Lee, Vittaldas V. Prabhu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationAdvances in Production Management Systems
Subtitle of host publicationThe Path to Intelligent, Collaborative and Sustainable Manufacturing - IFIP WG 5.7 International Conference, APMS 2017, Proceedings
EditorsDimitris Kiritsis, Klaus-Dieter Thoben, Hermann Lodding, Ralph Riedel, Gregor von Cieminski
PublisherSpringer New York LLC
Pages73-80
Number of pages8
ISBN (Print)9783319669250
DOIs
Publication statusPublished - Jan 1 2017
EventIFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2017 - Hamburg, Germany
Duration: Sep 3 2017Sep 7 2017

Publication series

NameIFIP Advances in Information and Communication Technology
Volume514
ISSN (Print)1868-4238

Other

OtherIFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2017
CountryGermany
CityHamburg
Period9/3/179/7/17

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All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Networks and Communications
  • Information Systems and Management

Cite this

Chiriki, M., Lee, Y., & Prabhu, V. V. (2017). Goal programming for supply chain optimization with insufficient capacity. In D. Kiritsis, K-D. Thoben, H. Lodding, R. Riedel, & G. von Cieminski (Eds.), Advances in Production Management Systems: The Path to Intelligent, Collaborative and Sustainable Manufacturing - IFIP WG 5.7 International Conference, APMS 2017, Proceedings (pp. 73-80). (IFIP Advances in Information and Communication Technology; Vol. 514). Springer New York LLC. https://doi.org/10.1007/978-3-319-66926-7_9