Method for Evaluation and Application of Production Process Chain Complexity in Sewing Workshops considering Human Factor

Huimin Li, Fansen Kong, Taibo Chen, Liang Kong and Sheng Du

Complexity, 2022, vol. 2022, 1-16

Abstract: Existing methods for evaluating manufacturing process chain complexity consider the number of machines, state of machines, number of parts, operation time, and processing sequence of parts. However, such evaluation methods ignore human factors. To consider human factors, human cognitive decision-making process factors are considered in the complexity evaluation of production processes. Accordingly, a new objective evaluation method of the human factor complexity is proposed. In the proposed method, sewing operations are taken as an example, and the human factor complexity is classified into perceived and cognitive complexity. Information entropy is used to measure cognitive complexity according to the type and quantity of sewing workers’ cognitive activities. The results show that various methods have significant differences in the evaluation of the complexity level of the production process chain. Specifically, the calculation results of the proposed evaluation method are much greater than those of other methods. This indicates that human cognitive and perceived complexities account for a large proportion. Therefore, human factor complexity cannot be omitted.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:hin:complx:4075358

DOI: 10.1155/2022/4075358

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