An interactive possibilistic programming approach for multiple objective supply chain master planning

Providing an efficient production plan that integrates the procurement and distribution plans into a unified framework is critical to achieving competitive advantage. In this paper, we consider a supply chain master planning model consisting of multiple suppliers, one manufacturer and multiple distr...

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Bibliographic Details
Published in:	Fuzzy sets and systems Vol. 159; no. 2; pp. 193 - 214
Main Authors:	Torabi, S.A., Hassini, E.
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 16.01.2008 Elsevier
Subjects:	Applied sciences Circuit properties Compromise solution Computer science; control theory; systems Control theory. Systems Digital circuits Electric, optical and optoelectronic circuits Electronic circuits Electronics Exact sciences and technology Information, signal and communications theory Mathematical methods Miscellaneous Mixed-integer linear programs Possibilistic programming Supply chain master planning System theory Telecommunications and information theory Theoretical computing Compromise solution Mixed-integer linear programs Supply chain master planning Possibilistic programming Fuzzy system Linear programming Numerical method Fuzzy set Linear model Integer Integer programming Engineering Numerical solution Information processing Distribution function Problem solving
ISSN:	0165-0114, 1872-6801
Online Access:	Get full text
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