A multi-objective stochastic programming approach for supply chain design considering risk

In this paper, we develop a multi-objective stochastic programming approach for supply chain design under uncertainty. Demands, supplies, processing, transportation, shortage and capacity expansion costs are all considered as the uncertain parameters. To develop a robust model, two additional object...

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Bibliographic Details
Published in:	International journal of production economics Vol. 116; no. 1; pp. 129 - 138
Main Authors:	Azaron, A., Brown, K.N., Tarim, S.A., Modarres, M.
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 01.11.2008 Elsevier Elsevier Sequoia S.A
Series:	International Journal of Production Economics
Subjects:	Costs Decision making models Multiple-objective programming Pareto optimum Risk Risk management Stochastic models Stochastic programming Studies Supply chain management Supply chain management Stochastic programming Multiple-objective programming Risk management Supply chains Uncertainty Supply chain management Multiple-objective programming Risk management Stochastic programming
ISSN:	0925-5273, 1873-7579
Online Access:	Get full text
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