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

Authors: Chengye Zhang

Addresses: College of Continuing Education, Qingdao Vocational and Technical College of Hotel Management, Qingdao 266000, China

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.

Keywords: fuzzy mathematics; human resource allocation; prediction model; chaotic sequence; Markov.

DOI: 10.1504/IJMTM.2023.133476

International Journal of Manufacturing Technology and Management, 2023 Vol.37 No.3/4, pp.362 - 375

Received: 23 Mar 2022
Received in revised form: 18 Apr 2022
Accepted: 29 Jun 2022
Published online: 17 Sep 2023 *

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