Systems Engineering and Electronics ›› 2021, Vol. 43 ›› Issue (5): 1277-1286.doi: 10.12305/j.issn.1001-506X.2021.05.15

• Systems Engineering • Previous Articles     Next Articles

Optimal scheduling for cooperative support chain of logistics and equipment under uncertainty

Bin ZENG1,*(), Quanxian ZHANG1(), Houpu LI2()   

  1. 1. Department of Management Engineering and Equipment Economics, Naval University of Engineering, Wuhan 430033, China
    2. Department of Navigation Engineering, Naval University of Engineering, Wuhan 430033, China
  • Received:2020-06-13 Online:2021-05-01 Published:2021-04-27
  • Contact: Bin ZENG E-mail:zbtrueice@163.com;2312497662@qq.com;lihoupu@126.com

Abstract:

Logistics and equipment support chain is an important support in joint operational environment. In order to solve the resource coordination problem between the two key members of support chain for forward operating base and support base, an optimal model considering the influence of uncertainty factor and its corresponding cooperation support algorithm based on information exchange are proposed. The optimal model under uncertainty is transformed into probabilities constraint model with the fuzzy programming method to solve the problem of uncertain parameter estimation in the case of small data sample problem. Augmented ε-constraint method is adopted to estimate the multi-objective Pareto solutions, which helps the logistics and equipment commander to choice the suitable solution without a priori weight knowledge. Furthermore, a Memetic algorithm with adaptive large neighborhood search heuristic is proposed to face the computation complexity of the programming model. Finally, the simulation experiments show that the models and algorithms are efficient.

Key words: logistics and equipment support chain, optimal configuration, uncertainty, multi-objective programming, Memetic algorithm

CLC Number: 

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