Abstract
A robust optimization approach is proposed to solve the problem of supply chain collaboration under a demand uncertain environment. The proposed approach is universal and able to adapt to various demand models. First, the uncertain demand is described by a set of sampling sequences, and the total cost of supply chain is calculated based on these sequences to evaluate a collaboration scheme. Then a particle swarm optimization (PSO) is employed to find the optimal collaboration scheme which leads to a minimum total cost of supply chain. Numerical experiments show that the proposed approach can produce a robust solution that is insensible to the effect of demand uncertainty.
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© 2011 Springer-Verlag Berlin Heidelberg
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Jia, Y., Zuo, X., Wu, J. (2011). A PSO- Based Robust Optimization Approach for Supply Chain Collaboration with Demand Uncertain. In: Tan, Y., Shi, Y., Chai, Y., Wang, G. (eds) Advances in Swarm Intelligence. ICSI 2011. Lecture Notes in Computer Science, vol 6728. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21515-5_21
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DOI: https://doi.org/10.1007/978-3-642-21515-5_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21514-8
Online ISBN: 978-3-642-21515-5
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