Research on supply chain network model considering stochastic transportation lead time

Mingyu Li

doi:10.1117/12.2638678

17 May 2022 Research on supply chain network model considering stochastic transportation lead time

Mingyu Li

Proceedings Volume 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022); 122592O (2022) https://doi.org/10.1117/12.2638678
Event: 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022), 2022, Kunming, China

Abstract

A supply chain network design (SCND) problem with fuzzy dual objective integer programming is proposed for stochastic transportation lead time. The conflict objectives considered in this paper are to maximize the total net profit associated with the supply chain network design and to minimize the delay probabilities associated with the transportation lead time between the production plant and the distribution center and the distribution center and the customer. It is assumed that the possible risks associated with transport lead times follow a normal distribution with defined mean and standard deviation. The model is tested with different levels of risk to achieve maximum satisfaction in the network. By considering acceptable levels of satisfaction, the results of the analysis of the proposed model will provide different scenarios, which will help decision makers better understand the supply chain network required for the design. LINGO software programming solution, and case analysis. The results show that the lower the risk level, the higher the probability of product delivery to customers ahead of time, and the lower the profit.

Citation Download Citation

Mingyu Li "Research on supply chain network model considering stochastic transportation lead time", Proc. SPIE 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022), 122592O (17 May 2022); https://doi.org/10.1117/12.2638678

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