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Language: English

Conflict of Interest: In relation to this article, we declare that there is no conflict of interest.

Publication history: Received February 5, 2012
Accepted July 28, 2012

This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Developing an integrated capacity planning framework for production processes and demand supply chains

Jun-Hyung Ryu^†

Department of Nuclear & Energy System, Dongguk University, Gyeongju 780-814, Korea

Korean Journal of Chemical Engineering, January 2013, 30(1), 27-32(6), 10.1007/s11814-012-0122-0

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Abstract

This paper presents a new capacity planning framework integrating internal production processes and external demand supply chains. Since planning is concerned with preparing how resources are arranged before future situations are realized, the planning problem should consider the entire aspect of a company, including internal and external aspects. Most previous works focused on only one aspect by simplifying the other. The proposed framework is formulated as a mixed integer programming (MILP) problem with an aim to establishing a rigorous decision-making_x000D_ tool. Lessons learned during their industrial implementations are discussed with some remarks.

Keywords

Integration Process Capacity Planning Supply Chain Planning MILP

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