DocumentCode :
685262
Title :
Strategic capacity allocation and resource sizing in a multi-plant system with resource transfer possibility
Author :
Kemmoe, S. ; Pernot, P.-A. ; Tchernev, N.
Author_Institution :
CRCGM, Univ. d´Auvergne, Clermont Ferrand, France
fYear :
2013
fDate :
28-30 Oct. 2013
Firstpage :
1
Lastpage :
8
Abstract :
Last decades firms have moved toward Supply Chain organizations. It has been characterized by partners´ integration and new production practices. One of these is the share of high purchase price resources between distinct facilities. It is a way to reduce investment associated to resource sizing while preserving operational efficiency. Consequently, it must be tackled during strategic capacity allocation and resources sizing process while considering operational impact. Surprisingly, even if this phenomenon is more and more relevant few researches have been made on it. In this article, we propose a model for strategic capacity allocation and resources sizing of a multi-plant system tackling resources transfer possibility and integrating operational impacts. Moreover original process and safety constraint is considered; it means a minimum volume independent number of resources required to achieve production. Model takes the form of a Mix Integer Linear Program (MILP) which objective is to maximize demand satisfaction while minimizing design and operational costs. Some illustrative numerical examples are given. Its show the importance of resource transfers possibility consideration during strategic process all the more so as resource purchase prices are high.
Keywords :
integer programming; linear programming; resource allocation; strategic planning; MILP; mix integer linear program; multiplant system; operational efficiency; resource purchase prices; resource sizing; resource transfer possibility; safety constraint; strategic capacity allocation; strategic process; supply chain organizations; Investment; Mathematical model; Planning; Production facilities; Resource management; Supply chains; long term planning; mix integer linear programming; resource transfer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Systems Management (IESM), Proceedings of 2013 International Conference on
Conference_Location :
Rabat
Type :
conf
Filename :
6761506
Link To Document :
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