Paper
6 May 2022 Research on ordering and transportation process of production enterprises based on multi-objective programming
Minyi Li, Yunyan He, Qili Fu
Author Affiliations +
Proceedings Volume 12256, International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022); 122561B (2022) https://doi.org/10.1117/12.2635814
Event: 2022 International Conference on Electronic Information Engineering, Big Data and Computer Technology, 2022, Sanya, China
Abstract
This study focuses on the ordering and transporting raw materials in enterprise supply chain management. First of all, this paper constructs the supply capacity evaluation system of three-level and seven-category enterprises, establishes an enterprise importance evaluation model based on principal component analysis, and finally obtains the ranking of supplier importance. In addition, this paper establishes the enterprise ordering model under the minimum cost, the enterprise ordering model with the minimum transportation and warehousing cost and the enterprise ordering model with capacity maximization. Around the transportation process, this paper establishes a minimum loss transfer model based on 0-1 integer linear programming. In order to minimize the ordering cost, minimize the transportation and warehousing cost, and maximize the production capacity, this paper puts forward the order plan of the enterprise in the next 24 weeks based on the convex optimization principle and Python programming algorithm. Finally, considering the economy in the transportation process comprehensively, this paper establishes the minimum loss transfer model, ensures the minimum loss in the transportation process as far as possible, and establishes the minimum loss transfer model based on 0-1 integer linear programming. Through the Python programming algorithm, the transfer plan of the enterprise in the next 24 weeks is given.
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Minyi Li, Yunyan He, and Qili Fu "Research on ordering and transportation process of production enterprises based on multi-objective programming", Proc. SPIE 12256, International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022), 122561B (6 May 2022); https://doi.org/10.1117/12.2635814
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KEYWORDS
Raw materials

Computer programming

Principal component analysis

Convex optimization

Data modeling

Manufacturing

Process modeling

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