Goal programming for supply chain optimization with insufficient capacity

Mohan Chiriki; Yooneun Lee; Vittaldas V. Prabhu

doi:10.1007/978-3-319-66926-7_9

Goal programming for supply chain optimization with insufficient capacity

Mohan Chiriki, Yooneun Lee, Vittaldas V. Prabhu

Marcus Department of Industrial and Manufacturing Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	Advances in Production Management Systems
Subtitle of host publication	The Path to Intelligent, Collaborative and Sustainable Manufacturing - IFIP WG 5.7 International Conference, APMS 2017, Proceedings
Editors	Dimitris Kiritsis, Klaus-Dieter Thoben, Hermann Lodding, Ralph Riedel, Gregor von Cieminski
Publisher	Springer New York LLC
Pages	73-80
Number of pages	8
ISBN (Print)	9783319669250
DOIs	https://doi.org/10.1007/978-3-319-66926-7_9
State	Published - 2017
Event	IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2017 - Hamburg, Germany Duration: Sep 3 2017 → Sep 7 2017

Publication series

Name	IFIP Advances in Information and Communication Technology
Volume	514
ISSN (Print)	1868-4238

Other

Other	IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2017
Country/Territory	Germany
City	Hamburg
Period	9/3/17 → 9/7/17

All Science Journal Classification (ASJC) codes

Information Systems
Computer Networks and Communications
Information Systems and Management

Access to Document

10.1007/978-3-319-66926-7_9

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

Chiriki, Mohan ; Lee, Yooneun ; Prabhu, Vittaldas V. / Goal programming for supply chain optimization with insufficient capacity. Advances in Production Management Systems: The Path to Intelligent, Collaborative and Sustainable Manufacturing - IFIP WG 5.7 International Conference, APMS 2017, Proceedings. editor / Dimitris Kiritsis ; Klaus-Dieter Thoben ; Hermann Lodding ; Ralph Riedel ; Gregor von Cieminski. Springer New York LLC, 2017. pp. 73-80 (IFIP Advances in Information and Communication Technology).

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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.",

author = "Mohan Chiriki and Yooneun Lee and Prabhu, {Vittaldas V.}",

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doi = "10.1007/978-3-319-66926-7_9",

language = "English (US)",

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series = "IFIP Advances in Information and Communication Technology",

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Chiriki, M, Lee, Y & Prabhu, VV 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. IFIP Advances in Information and Communication Technology, vol. 514, Springer New York LLC, pp. 73-80, IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2017, Hamburg, Germany, 9/3/17. https://doi.org/10.1007/978-3-319-66926-7_9

Goal programming for supply chain optimization with insufficient capacity. / Chiriki, Mohan; Lee, Yooneun; Prabhu, Vittaldas V.
Advances in Production Management Systems: The Path to Intelligent, Collaborative and Sustainable Manufacturing - IFIP WG 5.7 International Conference, APMS 2017, Proceedings. ed. / Dimitris Kiritsis; Klaus-Dieter Thoben; Hermann Lodding; Ralph Riedel; Gregor von Cieminski. Springer New York LLC, 2017. p. 73-80 (IFIP Advances in Information and Communication Technology; Vol. 514).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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

Goal programming for supply chain optimization with insufficient capacity

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