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Open AccessArticle
Fuzzy Evaluation Model for Operational Performance of Air Cleaning Equipment
by
Kuen-Suan Chen
Kuen-Suan Chen 1,2,3,
Tsun-Hung Huang
Tsun-Hung Huang 1,
Chun-Min Yu
Chun-Min Yu 1,* and
Hui-E Lee
Hui-E Lee 1
1
Department of Industrial Engineering and Management, National Chin-Yi University of Technology, Taichung 411030, Taiwan
2
Department of Business Administration, Chaoyang University of Technology, Taichung 413310, Taiwan
3
Department of Business Administration, Asia University, Taichung 413305, Taiwan
*
Author to whom correspondence should be addressed.
Mathematics 2024, 12(17), 2630; https://doi.org/10.3390/math12172630 (registering DOI)
Submission received: 24 July 2024
/
Revised: 21 August 2024
/
Accepted: 23 August 2024
/
Published: 24 August 2024
Abstract
Global warming has led to the continuous deterioration of the living environment, in which air quality directly affects human health. In addition, the severity of the COVID-19 pandemic has further increased the attention to indoor air quality. Indoor clean air quality is not only related to human health but also related to the quality of the manufacturing environment of clean rooms for numerous high-tech processes, such as semiconductors and packaging. This paper proposes a comprehensive model for evaluating, analyzing, and improving the operational performance of air cleaning equipment. Firstly, three operational performance evaluation indexes, such as the number of dust particles, the number of colonies, and microorganisms, were established. Secondly, the 100(1 – α)% upper confidence limits of these three operational performance evaluation indexes were deduced to construct a fuzzy testing model. Meanwhile, the accumulated value of ϕ was used to derive the evaluation decision-making value. The proposed model can help companies identify the key quality characteristics that need to be improved. Furthermore, the competitiveness of cooperative enterprises towards smart manufacturing can be strengthened, so that enterprises can not only fulfill their social responsibilities while developing the economy but also take into account the sustainable development of enterprises and the environment.
Share and Cite
MDPI and ACS Style
Chen, K.-S.; Huang, T.-H.; Yu, C.-M.; Lee, H.-E.
Fuzzy Evaluation Model for Operational Performance of Air Cleaning Equipment. Mathematics 2024, 12, 2630.
https://doi.org/10.3390/math12172630
AMA Style
Chen K-S, Huang T-H, Yu C-M, Lee H-E.
Fuzzy Evaluation Model for Operational Performance of Air Cleaning Equipment. Mathematics. 2024; 12(17):2630.
https://doi.org/10.3390/math12172630
Chicago/Turabian Style
Chen, Kuen-Suan, Tsun-Hung Huang, Chun-Min Yu, and Hui-E Lee.
2024. "Fuzzy Evaluation Model for Operational Performance of Air Cleaning Equipment" Mathematics 12, no. 17: 2630.
https://doi.org/10.3390/math12172630
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