Research on multi time periods procurement plan of supply chain under production demands uncertainty

  • Authors:
  • Pang Hali;Wei Yongjun;Chen Caixia;Duan Jian

  • Affiliations:
  • College of Information Science & Engineering, Northeastern University, Shenyang, Liaoning;College of Information Science & Engineering, Northeastern University, Shenyang, Liaoning;College of Information Science & Engineering, Northeastern University, Shenyang, Liaoning;College of Information Science & Engineering, Northeastern University, Shenyang, Liaoning

  • Venue:
  • CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
  • Year:
  • 2009

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Abstract

Considering the uncertainty of production demand, a problem of multi time periods procurement plan of supply chain under production demands uncertainty was studied in this paper. According to characteristics of the problem, 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.