An approach to supply chain inventory control problem based on genetic algorithm

Ruiqing Wang

doi:10.1117/12.2660743

2 February 2023 An approach to supply chain inventory control problem based on genetic algorithm

Ruiqing Wang

Proceedings Volume 12462, Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022); 1246234 (2023) https://doi.org/10.1117/12.2660743
Event: International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022), 2022, Xi'an, China

Abstract

In the supply chain, inventory management is a very key problem, and with the change of enterprise organization and operation mode, inventory management has many new characteristics and requirements. From the perspective of system theory and integration theory, combined with the mathematical analysis of genetic algorithm, this paper discusses the new inventory management strategy and new methods. On this basis, this paper puts forward an improved idea: in commercial production, while the inventory is based on the existence of various economic reasons, it is also a kind of inevitable consequences. This is a response to external environment, and cannot anticipate the needs of the future. If humans do not have the ability to put every piece of work to the best, it will create a redundant and uncoordinated environment. In the supply chain, a holistic and agile response to the supply chain can be achieved by means of strengthening inventory based on genetic algorithms. Its new thinking, new ideas in the enterprise has been fully applied.

Citation Download Citation

Ruiqing Wang "An approach to supply chain inventory control problem based on genetic algorithm", Proc. SPIE 12462, Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022), 1246234 (2 February 2023); https://doi.org/10.1117/12.2660743

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