Abstract
Determination of optimal control strategy is one of the key factors for a successful supply chain management. This paper focuses on the research of an inventory control strategy of a serial supply chain. First, it proposes an optimization model of an inventory control that is based on the combination of a nonlinear integer programming model and the generally used push/pull control model. Then, the optimal control strategy is ratified by the fusion of genetic algorithm and simulation analysis. Case studies have demonstrated the effectiveness of the method.
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Huang, M., Ding, J., Ip, W.H., Yung, K.L., Liu, Z., Wang, X. (2006). The Research on the Optimal Control Strategy of a Serial Supply Chain Based on GA. In: Jiao, L., Wang, L., Gao, Xb., Liu, J., Wu, F. (eds) Advances in Natural Computation. ICNC 2006. Lecture Notes in Computer Science, vol 4221. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881070_90
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DOI: https://doi.org/10.1007/11881070_90
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-45901-9
Online ISBN: 978-3-540-45902-6
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