Research on optimal ordering decision of ordering and transportation based on analytic hierarchy process and optimal objective programming

Yinglin Zhong; Yong Shen; Junyi Huang; Zhengtong Qian; Yunlu Cao; Yan Xu

doi:10.1117/12.2627151

2 March 2022 Research on optimal ordering decision of ordering and transportation based on analytic hierarchy process and optimal objective programming

Yinglin Zhong, Yong Shen, Junyi Huang, Zhengtong Qian, Yunlu Cao, Yan Xu

Author Affiliations +

Proceedings Volume 12158, International Conference on Computer Vision and Pattern Analysis (ICCPA 2021); 1215819 (2022) https://doi.org/10.1117/12.2627151
Event: 2021 International Conference on Computer Vision and Pattern Analysis, 2021, Guangzhou, China

Abstract

Aiming at the problem of optimal cost planning in the process of raw material supply, this paper studies, designs and develops a supply chain planning system. Based on the analysis of the actual demand of supply chain planning, the mathematical models of optimal ordering scheme and optimal transportation scheme are constructed. First of all, this paper constructs the indicators such as supply stability rate, supply continuity and supply quantity, and uses the analytic hierarchy process to determine the weight of the three indicators. Then the evaluation model of supplier guarantee enterprise production importance is established by using TOPSIS comprehensive evaluation method. The higher the importance index is, the easier it is to cooperate with enterprises. Then, taking whether the supplier is selected as the decision variable and using the 0-1 programming model with the minimum number of suppliers as the objective function, it is obtained that at least 127 suppliers are needed to supply goods. Then, the weekly supply volume of 127 suppliers is taken as the decision variable, and the most economical raw material ordering plan is taken as the objective function to establish a mathematical programming model. Finally, the 0-1 programming model is established by taking the selection of suppliers and transporters as decision variables and the lowest loss rate as the objective function, and the optimal transfer scheme is obtained. In the process of analyzing the ordering scheme and the transportation scheme, the membership function is constructed by using the normal distribution interval and analyzed by the fuzzy comprehensive evaluation method.

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Yinglin Zhong, Yong Shen, Junyi Huang, Zhengtong Qian, Yunlu Cao, and Yan Xu "Research on optimal ordering decision of ordering and transportation based on analytic hierarchy process and optimal objective programming", Proc. SPIE 12158, International Conference on Computer Vision and Pattern Analysis (ICCPA 2021), 1215819 (2 March 2022); https://doi.org/10.1117/12.2627151

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KEYWORDS

Raw materials

Computer programming

Fuzzy logic

Mathematical modeling

Analytical research

Chromium

Mathematics

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