Considering capacity constraints of manufacturer, a problem of multi-time period production planning of supply chain under customers' demands uncertainty was studied in this paper. According to characteristics of the problem, an optimal stochastic chance constraint programming model with objective of minimum costs was presented, and a real number matrix encoding and stochastic sampling constraints verifying based PSO algorithm was proposed. A numeric example is performed, and the results illustrate the feasibility and the effectiveness of proposed model and algorithm. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Pang, H., Wei, Y., Wang, S., & Liu, X. (2009). Research on multi-time period production plan of supply chain under demands uncertainty. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5551 LNCS, pp. 1098–1106). https://doi.org/10.1007/978-3-642-01507-6_123
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