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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Lan, B.X., Zheng, X.N., Xu, X.: Supply Chain Management in E-commerce era. Chinese Journal of Management Science (3) 17 (2000)
Lindu, Z.: Theory and Practice of Electronic Commerce, pp. 1–10. People’s Posts & Telecommunications Publishing House, Beijing (2001)
Lindu, Z.: Theory and Practice of Supply Chain and Logistics Management, pp. 34–36. Mechanical Industry Publishing House (2003)
Gstettner, S., Kuhn, H.: Analysis of Production Control Systems Kanban and CONWIP. International Journal of Production Research 34(11), 3253–3273 (1996)
Deleersnyder, J.L., Hodgson, T.J.: Mueller(-Malek) Hetal, Kanban Control Led Pull System: Analysis Approach. Management Science 35(9), 1079–1091 (1989)
Sarker, B.R., Fitzsimmons, J.A.: The Performance of Push and Pull Systems: A Simulation and Comparative Study. International Journal of Production Research 27(11), 1715–1732 (1989)
Flapper, S.D.P., Miltenburg, G.J., Wijugard, J.: Embedding JIT into MRP. International Journal of Production Research 29(2), 329–341 (1991)
Larsen, N.E., Alting, L.: Criteria for selecting production control philosophy. Production Planning & Control 4(1), 54–68 (1993)
Villa, A., Watanabe, T.: Production management: Beyond the Dichotomy Between “Push” and “Pull”. Computer Integrated Manufacturing Systems 6(1), 53–63 (1993)
Spearman, M.L., Woodruff, D.L., Hopp, W.J.: CONWIP: a Pull Alternative to Kanban. International Journal of Production Research 28(5), 879–894 (1990)
Oscar, R., Adolfo, C.M.: Exploring the Utilization of a CONWIP System for Supply Chain Management. International Journal of Production Economics 83, 195–215 (2003)
Herer, Y.T., Masin, M.: Mathematical Programming Formulation of CONW IP Based Production Lines and Relationships to MRP. International Journal of Production Research 35(4), 1067–1076 (1997)
Gerald, J.B.: Implementing JIT with MRP Creates Hybrid Manufacturing Environment. IE, 14–18 (1988)
Michalewicz, Z.: Genetic algorithms + data structure = evolution programs. Seconded. Springer, New York (1994)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
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
eBook Packages: Computer ScienceComputer Science (R0)