Research on Multi-time Period Production Plan of Supply Chain under Demands Uncertainty

Authors:
Hali Pang;Yongjun Wei;Shan Wang;Xiaobin Liu
Affiliations:
College of Information Science & Engineering, Northeastern University, Shenyang, China 110004;College of Information Science & Engineering, Northeastern University, Shenyang, China 110004;College of Information Science & Engineering, Northeastern University, Shenyang, China 110004;College of Information Science & Engineering, Northeastern University, Shenyang, China 110004
Venue:
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
Year:
2009

Citing 3
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Abstract

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.