Optimization Allocation Between Multiple Logistic Tasks and Logistic Resources Considered Demand Uncertainty
Making an allocation scheme which can achieve the optimal overall efficiency that matching multiple logistics tasks and resources under the environment that the tasks’ demands are uncertain is difficult. In this paper, we build a mathematical model to describe the problem and try to solve it by the genetic algorithm. We also consider the daily usage amount of each resource should be as equilibrious as possible. The result of the case simulation proves the effectiveness of the model and the algorithm. As well as, we analyze the impact that the size of the uncertainty’s degree on the allocation result.
KeywordsResource allocation Uncertainty Resource equalization Genetic algorithm
This research was supported by Shandong Provincial Natural Science Foundation, China (Grant No. ZR2015GQ006), and the Fundamental Research Funds for the Central Universities, China (Grant No. 17CX04023B).
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