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Construction of human resource allocation model of flow production line based on fuzzy mathematics

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  • Chengye Zhang

Abstract

In order to improve the rationality and access rate of human resource allocation, a method of constructing human resource allocation model of assembly line based on fuzzy mathematics is proposed. Firstly, human resource data is encrypted through chaotic sequence. Then, the talent flow of assembly line is regarded as a random variable, and a Markov prediction model is established to reduce the prediction error combined with constraints. Finally, the fuzzy mathematical algorithm is introduced to divide the importance degree of posts, establish the human resource allocation model, and realise the human resource allocation of assembly line. Verification shows that the maximum matching degree of the method is 1.90, and the access rate is less than 2 s, which effectively improves the matching degree and reduces the access time.

Suggested Citation

  • Chengye Zhang, 2023. "Construction of human resource allocation model of flow production line based on fuzzy mathematics," International Journal of Manufacturing Technology and Management, Inderscience Enterprises Ltd, vol. 37(3/4), pages 362-375.
    • Handle: RePEc:ids:ijmtma:v:37:y:2023:i:3/4:p:362-375
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