Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17–19, 2023, Beijing, China

Research Article

Optimization of Metal Commodity Purchasing Plan for E-commerce Platform

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  • @INPROCEEDINGS{10.4108/eai.17-11-2023.2342696,
        author={Anran  Li and Liang  Zhang and Cong  Cheng},
        title={Optimization of Metal Commodity Purchasing Plan for E-commerce Platform},
        proceedings={Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17--19, 2023, Beijing, China},
        publisher={EAI},
        proceedings_a={ICEMME},
        year={2024},
        month={2},
        keywords={procurement plan; bayesian linear regression; multi-objective optimization},
        doi={10.4108/eai.17-11-2023.2342696}
    }
    
  • Anran Li
    Liang Zhang
    Cong Cheng
    Year: 2024
    Optimization of Metal Commodity Purchasing Plan for E-commerce Platform
    ICEMME
    EAI
    DOI: 10.4108/eai.17-11-2023.2342696
Anran Li1, Liang Zhang1, Cong Cheng1,*
  • 1: Hebei University of Technology
*Contact email: ccheng@hebut.edu.cn

Abstract

It is crucial for e-commerce platform operators to improve operational efficiency. The e-commerce platform selected in this paper is a functional platform implements centralized procurement, however, the platform's procurement plan for metal commodities does not match the demand for the commodities. In this paper, we optimize the metal commodity procurement plan in the platform. Activity based classification is used to classify metal commodities into three categories, and Bayesian linear regression prediction model considering promotion factors and sales season factors is set up. On this basis, the optimized procurement plan for metal commodities was carried out, and a multi-objective procurement quantity allocation model with cost, quality and delivery time as the optimization objectives, and minimum order quantity and maximum supply quantity as the constraints was established. Meanwhile, the NSGA-Ⅱ algorithm was applied to solve the problem. With the typical commodity, the A class commodity 4.0 model electrodes, a comparative analysis of the optimization scheme with the original scheme was carried out, which proves the validity of the optimization model.