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
StatePublished - 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
Country/TerritoryGermany
CityHamburg
Period9/3/179/7/17

All Science Journal Classification (ASJC) codes

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

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