Fuzzy COPRAS method for performance measurement in total productive maintenance: a comparative analysis
| Autor: | Mehmet Cakmakci, Cengiz Kahraman, Ebru Turanoglu Bekar |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Economics and Econometrics
HF5001-6182 Computer science 02 engineering and technology Fuzzy logic Overall equipment effectiveness 0502 economics and business Nominal group technique 0202 electrical engineering electronic engineering information engineering Business Performance measurement Operations management new performance measures Measure (data warehouse) 05 social sciences performance measurement Total productive maintenance total productive maintenance Conjoint analysis Reliability engineering COPRAS-G Key (cryptography) Business Management and Accounting (miscellaneous) conjoint analysis 020201 artificial intelligence & image processing fuzzy COPRAS 050203 business & management |
| Zdroj: | Journal of Business Economics and Management; Vol 17 No 5 (2016); 663-684 Journal of Business Economics and Management, Vol 17, Iss 5 (2016) |
| ISSN: | 1611-1699 2029-4433 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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