Soft computing applications in the field of industrial and environmental enterprises

Jiménez, Alfredo; Herrero, Álvaro

doi:10.1111/exsy.12456

Cited by 4 publications

(1 citation statement)

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“…With the improvement of industrial automation and intelligence, human factors engineering plays an increasingly important role in improving the productivity and employee safety of industrial enterprises [1][2]. Through the study of human capabilities and limitations, as well as human behavior in the work environment, human factors engineering helps to design work environments and tools more suitable for human use, optimize the workflow, reduce the occurrence of accidents, and improve work satisfaction [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

An applied study of industrial enterprise engineering and management based on human factors engineering

Niu,

2024

Applied Mathematics and Nonlinear Sciences

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This paper proposes an innovative management optimization method for the challenges facing the management of industrial enterprises in the context of the current rapid development of the industrial economy. The article combines human factors engineering and lean production theory to optimize the management efficiency and effectiveness of industrial enterprises. Considering the complexity of industrial environments, a personnel identification system and a tracking system are constructed in the study to achieve more effective staff management. To comprehensively assess the management effectiveness, the article combines the fuzzy synthesis method to build an evaluation model for the management effectiveness of industrial enterprises. The empirical study shows that the optimization method significantly improves the productivity: the working hours are reduced from 210 hours to 150 hours, the torso rotational and bending forces are reduced by about 54% and 45%, respectively, and the troops on each joint are reduced by about 59% on average. The overall optimization of the model has an affiliation value of 0.53, indicating that the management effect is evaluated as good. The data fully proved the effectiveness of the management optimization method for industrial enterprises proposed in this paper in increasing productivity and improving working conditions.

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