Time-dependent optimization of a multi-item uncertain supply chain network: A hybrid approximation algorithm

Time-dependent optimization of a multi-item uncertain supply chain network: A hybrid approximation algorithm

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Article ID: iaor201530300
Volume: 18
Issue: 11
Start Page Number: 150
End Page Number: 167
Publication Date: Nov 2015
Journal: Discrete Optimization
Authors:
Keywords: supply & supply chains, programming: dynamic, programming: mathematical, heuristics, combinatorial optimization
Abstract:

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.

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