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Fuzzy COPRAS method for performance measurement in total productive maintenance: a comparative analysis

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  • Ebru Turanoglu Bekar
  • Mehmet Cakmakci
  • Cengiz Kahraman

Abstract

Modern manufacturing firms should be supported by effective maintenance to become successful in their operations. One of the approaches for improving the performance of maintenance activities is to implement a total productive maintenance (TPM) strategy. Overall equipment effectiveness (OEE) is the key measure of TPM. According to the results of the literature review, the performance elements measured by the OEE tool are not sufficient to describe the effectiveness of TPM implementation. Hence, we aim at developing and evaluating new performance measures oriented towards the quantification of TPM implementation effectiveness under fuzzy environment. For the evaluation of each performance measure, at first, the nominal group technique has been used. Then to determine whether these performance measures are statistically significant, conjoint analysis based experimental design has been applied. In the second step, COmplex PRo-portional ASsessment of alternatives with Grey relations (COPRAS-G) and the fuzzy COPRAS method has been developed to evaluate these performance measures in TPM. Proposed fuzzy COPRAS method gives the reassuring results of ranking newly developed performance measures in TPM.

Suggested Citation

  • Ebru Turanoglu Bekar & Mehmet Cakmakci & Cengiz Kahraman, 2016. "Fuzzy COPRAS method for performance measurement in total productive maintenance: a comparative analysis," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 17(5), pages 663-684, September.
    • Handle: RePEc:taf:jbemgt:v:17:y:2016:i:5:p:663-684
    DOI: 10.3846/16111699.2016.1202314
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    3. Akshay Hinduja & Manju Pandey, 2023. "Analysis and Comparison of State-of-the-Art Fuzzy Multi-criteria Decision-making Methods Under Different Levels of Uncertainty," Vision, , vol. 27(1), pages 93-109, February.
    4. Tsai, Pei-Hsuan & Chen, Chih-Jou & Hsiao, Wei-Hung & Lin, Chin-Tsai, 2023. "Factors influencing the consumers’ behavioural intention to use online food delivery service: Empirical evidence from Taiwan," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
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    7. Yazdi, Amir Karbassi & Wanke, Peter Fernandes & Hanne, Thomas & Abdi, Farshid & Sarfaraz, Amir Homayoun, 2022. "Supplier selection in the oil & gas industry: A comprehensive approach for Multi-Criteria Decision Analysis," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    8. Yelda Ayrim & Kumru Didem Atalay & Gülin Feryal Can, 2018. "A New Stochastic MCDM Approach Based on COPRAS," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(03), pages 857-882, May.
    9. Hui Gao & Linggang Ran & Guiwu Wei & Cun Wei & Jiang Wu, 2020. "VIKOR Method for MAGDM Based on Q-Rung Interval-Valued Orthopair Fuzzy Information and Its Application to Supplier Selection of Medical Consumption Products," IJERPH, MDPI, vol. 17(2), pages 1-14, January.
    10. Pham Ngoc Toan & Thanh-Tuan Dang & Le Thi Thu Hong, 2021. "E-Learning Platform Assessment and Selection Using Two-Stage Multi-Criteria Decision-Making Approach with Grey Theory: A Case Study in Vietnam," Mathematics, MDPI, vol. 9(23), pages 1-20, December.
    11. Navid Zarbakhshnia & Kannan Govindan & Devika Kannan & Mark Goh, 2023. "Outsourcing logistics operations in circular economy towards to sustainable development goals," Business Strategy and the Environment, Wiley Blackwell, vol. 32(1), pages 134-162, January.
    12. Lulu Xin & Shuai Lang & Arunodaya Raj Mishra, 2022. "RETRACTED ARTICLE: Evaluate the challenges of sustainable supply chain 4.0 implementation under the circular economy concept using new decision making approach," Operations Management Research, Springer, vol. 15(3), pages 773-792, December.
    13. Arunodaya Raj Mishra & Pratibha Rani & Kiran Pandey & Abbas Mardani & Justas Streimikis & Dalia Streimikiene & Melfi Alrasheedi, 2020. "Novel Multi-Criteria Intuitionistic Fuzzy SWARA–COPRAS Approach for Sustainability Evaluation of the Bioenergy Production Process," Sustainability, MDPI, vol. 12(10), pages 1-16, May.

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