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Time-dependent optimization of a multi-item uncertain supply chain network: a hybrid approximation algorithm
Umeå University, Faculty of Science and Technology, Department of Mathematics and Mathematical Statistics.
2015 (English)In: Discrete Optimization, ISSN 1572-5286, E-ISSN 1873-636X, Vol. 18, 150-167 p.Article in journal (Refereed) Published
Abstract [en]

We consider the uncertain least cost shipping problem. The input is a multi-item supply chain network with time-evolving uncertain costs and capacities. Exploiting the operational law of uncertainty theory, a mathematical model of the problem is established and the indeterminacy factors are tackled. We use the scaling idea together with transformation approach and uncertainty programming to develop a hybrid algorithm to optimize and obtain the uncertainty distribution of the total shipping cost. We analyze the practical performance of the algorithm and present an illustrative example.

Place, publisher, year, edition, pages
Elsevier, 2015. Vol. 18, 150-167 p.
Keyword [en]
Supply chain management, Mathematical programming, Distribution, Approximation, Uncertainty
National Category
Engineering and Technology Mathematics Computer and Information Science
Identifiers
URN: urn:nbn:se:umu:diva-115932DOI: 10.1016/j.disopt.2015.09.002ISI: 000367484200008OAI: oai:DiVA.org:umu-115932DiVA: diva2:901352
Available from: 2016-02-08 Created: 2016-02-08 Last updated: 2016-02-12Bibliographically approved

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Hosseini, S. Ahmad
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Department of Mathematics and Mathematical Statistics
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