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FUZZY COPRAS METHOD FOR PERFORMANCE MEASUREMENT IN TOTAL PRODUCTIVE MAINTENANCE: A COMPARATIVE ANALYSIS
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Zeitschriftentitel: | Journal of Business Economics and Management |
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Personen und Körperschaften: | , , |
In: | Journal of Business Economics and Management, 17, 2016, 5, S. 663-684 |
Format: | E-Article |
Sprache: | Unbestimmt |
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Vilnius Gediminas Technical University
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Schlagwörter: |
author_facet |
TURANOGLU BEKAR, Ebru CAKMAKCI, Mehmet KAHRAMAN, Cengiz TURANOGLU BEKAR, Ebru CAKMAKCI, Mehmet KAHRAMAN, Cengiz |
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author |
TURANOGLU BEKAR, Ebru CAKMAKCI, Mehmet KAHRAMAN, Cengiz |
spellingShingle |
TURANOGLU BEKAR, Ebru CAKMAKCI, Mehmet KAHRAMAN, Cengiz Journal of Business Economics and Management FUZZY COPRAS METHOD FOR PERFORMANCE MEASUREMENT IN TOTAL PRODUCTIVE MAINTENANCE: A COMPARATIVE ANALYSIS Economics and Econometrics Business, Management and Accounting (miscellaneous) |
author_sort |
turanoglu bekar, ebru |
spelling |
TURANOGLU BEKAR, Ebru CAKMAKCI, Mehmet KAHRAMAN, Cengiz 1611-1699 2029-4433 Vilnius Gediminas Technical University Economics and Econometrics Business, Management and Accounting (miscellaneous) http://dx.doi.org/10.3846/16111699.2016.1202314 <jats:p>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.</jats:p> FUZZY COPRAS METHOD FOR PERFORMANCE MEASUREMENT IN TOTAL PRODUCTIVE MAINTENANCE: A COMPARATIVE ANALYSIS Journal of Business Economics and Management |
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10.3846/16111699.2016.1202314 |
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Vilnius Gediminas Technical University, 2016 |
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Vilnius Gediminas Technical University, 2016 |
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1611-1699 2029-4433 |
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Journal of Business Economics and Management |
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title |
FUZZY COPRAS METHOD FOR PERFORMANCE MEASUREMENT IN TOTAL PRODUCTIVE MAINTENANCE: A COMPARATIVE ANALYSIS |
title_unstemmed |
FUZZY COPRAS METHOD FOR PERFORMANCE MEASUREMENT IN TOTAL PRODUCTIVE MAINTENANCE: A COMPARATIVE ANALYSIS |
title_full |
FUZZY COPRAS METHOD FOR PERFORMANCE MEASUREMENT IN TOTAL PRODUCTIVE MAINTENANCE: A COMPARATIVE ANALYSIS |
title_fullStr |
FUZZY COPRAS METHOD FOR PERFORMANCE MEASUREMENT IN TOTAL PRODUCTIVE MAINTENANCE: A COMPARATIVE ANALYSIS |
title_full_unstemmed |
FUZZY COPRAS METHOD FOR PERFORMANCE MEASUREMENT IN TOTAL PRODUCTIVE MAINTENANCE: A COMPARATIVE ANALYSIS |
title_short |
FUZZY COPRAS METHOD FOR PERFORMANCE MEASUREMENT IN TOTAL PRODUCTIVE MAINTENANCE: A COMPARATIVE ANALYSIS |
title_sort |
fuzzy copras method for performance measurement in total productive maintenance: a comparative analysis |
topic |
Economics and Econometrics Business, Management and Accounting (miscellaneous) |
url |
http://dx.doi.org/10.3846/16111699.2016.1202314 |
publishDate |
2016 |
physical |
663-684 |
description |
<jats:p>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.</jats:p> |
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author | TURANOGLU BEKAR, Ebru, CAKMAKCI, Mehmet, KAHRAMAN, Cengiz |
author_facet | TURANOGLU BEKAR, Ebru, CAKMAKCI, Mehmet, KAHRAMAN, Cengiz, TURANOGLU BEKAR, Ebru, CAKMAKCI, Mehmet, KAHRAMAN, Cengiz |
author_sort | turanoglu bekar, ebru |
container_issue | 5 |
container_start_page | 663 |
container_title | Journal of Business Economics and Management |
container_volume | 17 |
description | <jats:p>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.</jats:p> |
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spelling | TURANOGLU BEKAR, Ebru CAKMAKCI, Mehmet KAHRAMAN, Cengiz 1611-1699 2029-4433 Vilnius Gediminas Technical University Economics and Econometrics Business, Management and Accounting (miscellaneous) http://dx.doi.org/10.3846/16111699.2016.1202314 <jats:p>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.</jats:p> FUZZY COPRAS METHOD FOR PERFORMANCE MEASUREMENT IN TOTAL PRODUCTIVE MAINTENANCE: A COMPARATIVE ANALYSIS Journal of Business Economics and Management |
spellingShingle | TURANOGLU BEKAR, Ebru, CAKMAKCI, Mehmet, KAHRAMAN, Cengiz, Journal of Business Economics and Management, FUZZY COPRAS METHOD FOR PERFORMANCE MEASUREMENT IN TOTAL PRODUCTIVE MAINTENANCE: A COMPARATIVE ANALYSIS, Economics and Econometrics, Business, Management and Accounting (miscellaneous) |
title | FUZZY COPRAS METHOD FOR PERFORMANCE MEASUREMENT IN TOTAL PRODUCTIVE MAINTENANCE: A COMPARATIVE ANALYSIS |
title_full | FUZZY COPRAS METHOD FOR PERFORMANCE MEASUREMENT IN TOTAL PRODUCTIVE MAINTENANCE: A COMPARATIVE ANALYSIS |
title_fullStr | FUZZY COPRAS METHOD FOR PERFORMANCE MEASUREMENT IN TOTAL PRODUCTIVE MAINTENANCE: A COMPARATIVE ANALYSIS |
title_full_unstemmed | FUZZY COPRAS METHOD FOR PERFORMANCE MEASUREMENT IN TOTAL PRODUCTIVE MAINTENANCE: A COMPARATIVE ANALYSIS |
title_short | FUZZY COPRAS METHOD FOR PERFORMANCE MEASUREMENT IN TOTAL PRODUCTIVE MAINTENANCE: A COMPARATIVE ANALYSIS |
title_sort | fuzzy copras method for performance measurement in total productive maintenance: a comparative analysis |
title_unstemmed | FUZZY COPRAS METHOD FOR PERFORMANCE MEASUREMENT IN TOTAL PRODUCTIVE MAINTENANCE: A COMPARATIVE ANALYSIS |
topic | Economics and Econometrics, Business, Management and Accounting (miscellaneous) |
url | http://dx.doi.org/10.3846/16111699.2016.1202314 |