主管:中国科学院
主办:中国优选法统筹法与经济数学研究会
   中国科学院科技战略咨询研究院

Chinese Journal of Management Science ›› 2024, Vol. 32 ›› Issue (7): 129-137.doi: 10.16381/j.cnki.issn1003-207x.2021.0711

Previous Articles     Next Articles

Research on Joint Reserve and Allocation of Multiple Emergency Medical Materials under Uncertain Demands

Yao Zhang1,Yuwei Zhang1,2(),Zhenping Li1,2,Yuwen Wu1   

  1. 1.School of Statistics and Data Science, Beijing Wuzi University, Beijing 101149, China
    2.School of Management and Engineering, Capital University of Economics and Business, Beijing 100070, China
  • Received:2021-04-11 Revised:2022-01-23 Online:2024-07-25 Published:2024-08-07
  • Contact: Yuwei Zhang E-mail:morbenvy@126.com

Abstract:

Considering the uncertain demands for medical materials at each demand point after the public health emergencies, the joint reserve and allocation problem of multiple kinds of emergency medical materials is studied with limited reserve capacity based on the condition that the demand for each kind of medical materials at each demand point obeys the independent and uniform distribution. A two-stage stochastic programming model for the joint reserve and allocation of multiple medical materials is established, the objective function is to minimize the total cost including the inventory cost of the reserve medical materials and the total expected shortage cost at each demand point. Given the parameters of demand probability distribution, the two-stage stochastic programming model is transformed into a deterministic convex quadratic programming model. The properties of the optimal solution are proposed and proved, then the optimal solution is analytical expressed. Finally, the influence of the reserve capacity change on the optimal reserve and allocation solution is analyzed, and the effectiveness of the proposed method is verified by simulation on an example generated from practical data. It provides a decision-making basis for solving the practical multiple medical materials joint reserve and allocation problem in this paper.

Key words: uncertain demands, medical materials, reserve and distribution, two-stage stochastic programming, convex quadratic programming

CLC Number: