Research on the planning and optimal distribution strategy of enterprise ordering and transshipment

Yin Liu; Lin Cui; Yuanyuan Mao

doi:10.1117/12.2653363

20 October 2022 Research on the planning and optimal distribution strategy of enterprise ordering and transshipment

Yin Liu, Lin Cui, Yuanyuan Mao

Proceedings Volume 12350, 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022); 1235010 (2022) https://doi.org/10.1117/12.2653363
Event: 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022), 2022, Qingdao, China

Abstract

With the rapid development of the new era, the market competition is showing an increasingly fierce trend. In order to survive and develop in the competition, enterprises need to formulate optimal ordering and transshipment strategies. This paper studies the problem that a production enterprise determines the raw material suppliers to be ordered and the corresponding weekly raw material order quantity according to the production capacity requirements, and entrusts a logistics company to transfer the supplier's weekly raw material supply quantity to the enterprise warehouse. The optimal proportion scheme is determined by flexible use of parameter estimation method, and MATLAB software is used to perform image analysis on the order relationship of raw materials and the loss rate of forwarders, so as to reasonably allocate the demand for suppliers and forwarders. Then the heuristic optimization algorithm is used to solve the corresponding optimal model, and under certain constraints, the rational allocation of resources in all aspects is guaranteed. Develop optimal solutions to minimize uncertainty, reduce production costs, and help companies enhance their core market competitiveness.

Citation Download Citation

Yin Liu, Lin Cui, and Yuanyuan Mao "Research on the planning and optimal distribution strategy of enterprise ordering and transshipment", Proc. SPIE 12350, 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022), 1235010 (20 October 2022); https://doi.org/10.1117/12.2653363

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