IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v12y2024i17p2630-d1463434.html
   My bibliography  Save this article

Fuzzy Evaluation Model for Operational Performance of Air Cleaning Equipment

Author

Listed:
  • Kuen-Suan Chen

    (Department of Industrial Engineering and Management, National Chin-Yi University of Technology, Taichung 411030, Taiwan
    Department of Business Administration, Chaoyang University of Technology, Taichung 413310, Taiwan
    Department of Business Administration, Asia University, Taichung 413305, Taiwan)

  • Tsun-Hung Huang

    (Department of Industrial Engineering and Management, National Chin-Yi University of Technology, Taichung 411030, Taiwan)

  • Chun-Min Yu

    (Department of Industrial Engineering and Management, National Chin-Yi University of Technology, Taichung 411030, Taiwan)

  • Hui-E Lee

    (Department of Industrial Engineering and Management, National Chin-Yi University of Technology, Taichung 411030, Taiwan)

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.

Suggested Citation

  • Kuen-Suan Chen & Tsun-Hung Huang & Chun-Min Yu & Hui-E Lee, 2024. "Fuzzy Evaluation Model for Operational Performance of Air Cleaning Equipment," Mathematics, MDPI, vol. 12(17), pages 1-12, August.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:17:p:2630-:d:1463434
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/12/17/2630/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/12/17/2630/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chirumalla, Koteshwar, 2021. "Building digitally-enabled process innovation in the process industries: A dynamic capabilities approach," Technovation, Elsevier, vol. 105(C).
    2. Bhatia, Purvee & Diaz-Elsayed, Nancy, 2023. "Facilitating decision-making for the adoption of smart manufacturing technologies by SMEs via fuzzy TOPSIS," International Journal of Production Economics, Elsevier, vol. 257(C).
    3. Kuen-Suan Chen, 2022. "Fuzzy testing of operating performance index based on confidence intervals," Annals of Operations Research, Springer, vol. 311(1), pages 19-33, April.
    4. Kuo-Ching Chiou, 2023. "Building Up of Fuzzy Evaluation Model of Life Performance Based on Type-II Censored Data," Mathematics, MDPI, vol. 11(17), pages 1-12, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yin-Yin Huang & Ruey-Chyn Tsaur & Nei-Chin Huang, 2022. "Sustainable Fuzzy Portfolio Selection Concerning Multi-Objective Risk Attitudes in Group Decision," Mathematics, MDPI, vol. 10(18), pages 1-15, September.
    2. Kuen-Suan Chen & Tsun-Hung Huang & Jin-Shyong Lin & Chun-Min Yu & Chun-Ming Yang, 2023. "Fuzzy Evaluation Model of Machining Process Loss," Mathematics, MDPI, vol. 11(22), pages 1-13, November.
    3. Tian Chen & Ting-Hsin Hsu & Kuen-Suan Chen & Chun-Ming Yang, 2022. "A Fuzzy Improvement Testing Model of Bank APP Performance," Mathematics, MDPI, vol. 10(9), pages 1-10, April.
    4. Kuo-Ching Chiou, 2023. "Building Up of Fuzzy Evaluation Model of Life Performance Based on Type-II Censored Data," Mathematics, MDPI, vol. 11(17), pages 1-12, August.
    5. Denicolai, Stefano & Previtali, Pietro, 2023. "Innovation strategy and digital transformation execution in healthcare: The role of the general manager," Technovation, Elsevier, vol. 121(C).
    6. Kuen-Suan Chen & Chun-Min Yu, 2024. "Developing a novel fuzzy testing model for capability index with asymmetric tolerances," Annals of Operations Research, Springer, vol. 340(1), pages 149-162, September.
    7. Kuen-Suan Chen & Tsun-Hung Huang & Ruey-Chyn Tsaur & Wen-Yang Kao, 2022. "Fuzzy Evaluation Models for Accuracy and Precision Indices," Mathematics, MDPI, vol. 10(21), pages 1-12, October.
    8. Shore, Adam & Tiwari, Manisha & Tandon, Priyanka & Foropon, Cyril, 2024. "Building entrepreneurial resilience during crisis using generative AI: An empirical study on SMEs," Technovation, Elsevier, vol. 135(C).
    9. Peng, Hui & Lu, Yaobin & Gupta, Sumeet, 2023. "Promoting value emergence through digital platform ecosystems: Perspectives on resource integration in China," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    10. Deon Montasser & Ruslan Prijadi & Tengku Ezni Balqiah, 2023. "The Mediating Effect of IT-Enabled Dynamic Capabilities and Organizational Readiness on the Relationship Between Transformational Leadership and Digital Business Model Innovation: Evidence From Indone," SAGE Open, , vol. 13(2), pages 21582440231, June.
    11. Kumar, Shashank & Raut, Rakesh D. & Agrawal, Nishant & Cheikhrouhou, Naoufel & Sharma, Mahak & Daim, Tugrul, 2022. "Integrated blockchain and internet of things in the food supply chain: Adoption barriers," Technovation, Elsevier, vol. 118(C).
    12. Ionel Crinel Raveica & Ionel Olaru & Eugen Herghelegiu & Nicolae Catalin Tampu & Maria-Crina Radu & Bogdan Alexandru Chirita & Carol Schnakovszky & Vlad Andrei Ciubotariu, 2024. "The Impact of Digitalization on Industrial Engineering Students’ Training from the Perspective of Their Insertion in the Labor Market in a Sustainable Economy: A Students’ Opinions Survey," Sustainability, MDPI, vol. 16(17), pages 1-24, August.
    13. Ye, Fei & Ouyang, You & Li, Yina, 2023. "Digital investment and environmental performance: The mediating roles of production efficiency and green innovation," International Journal of Production Economics, Elsevier, vol. 259(C).
    14. Aloini, Davide & Benevento, Elisabetta & Stefanini, Alessandro & Zerbino, Pierluigi, 2023. "Transforming healthcare ecosystems through blockchain: Opportunities and capabilities for business process innovation," Technovation, Elsevier, vol. 119(C).
    15. Chun-Min Yu & Kuen-Suan Chen & Ting-Hsin Hsu, 2022. "Confidence-Interval-Based Fuzzy Testing for the Lifetime Performance Index of Electronic Product," Mathematics, MDPI, vol. 10(9), pages 1-10, April.
    16. Thuda Audy & Kartono Rano & Hamsal Mohammad & Furinto Asnan, 2023. "The Effect of Digital Talent and Digital Capability on Bank Performance: Perspective of Regional Development Bank Employees," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 17(1), pages 2053-2069, July.
    17. Giuliano Sansone & Flavio Santalucia & Davide Viglialoro & Paolo Landoni, 2023. "Blockchain for social good and stakeholder engagement: Evidence from a case study," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(5), pages 2182-2193, September.
    18. Rhaiem, Khalil & Doloreux, David, 2024. "Inbound open innovation in SMEs: A microfoundations perspective of dynamic capabilities," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    19. Chun-Ming Yang & Tsun-Hung Huang & Kuen-Suan Chen & Chi-Han Chen & Shiyao Li, 2022. "Fuzzy Quality Evaluation and Analysis Model for Improving the Quality of Unleaded Gasoline to Reduce Air Pollution," Mathematics, MDPI, vol. 10(15), pages 1-13, August.
    20. Latino, Maria Elena & Menegoli, Marta & Lazoi, Mariangela & Corallo, Angelo, 2022. "Voluntary traceability in food supply chain: a framework leading its implementation in Agriculture 4.0," Technological Forecasting and Social Change, Elsevier, vol. 178(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:12:y:2024:i:17:p:2630-:d:1463434. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.