A unique fuzzy multivariate modeling approach for performance optimization of maintenance workshops with cognitive factors
This paper puts forward an integrated fuzzy simulation-fuzzy data envelopment analysis (FDEA)-fuzzy cognitive map (FCM) algorithm for performance optimization of maintenance workshops by incorporating cognitive and time-dependent factors. Due to severe ambiguousness associated with the collected dat...
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| Vydané v: | International journal of advanced manufacturing technology Ročník 90; číslo 1-4; s. 499 - 525 |
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| Hlavní autori: | , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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London
Springer London
01.04.2017
Springer Nature B.V |
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| ISSN: | 0268-3768, 1433-3015 |
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| Abstract | This paper puts forward an integrated fuzzy simulation-fuzzy data envelopment analysis (FDEA)-fuzzy cognitive map (FCM) algorithm for performance optimization of maintenance workshops by incorporating cognitive and time-dependent factors. Due to severe ambiguousness associated with the collected data, the fuzzy set theory is incorporated into the approach. Fuzzy computer simulation is employed for modeling the workshop and providing time-dependent factors. FCM is used for extracting relations between cognitive factors. FDEA is used for ranking scenarios based on inputs and outputs of FCM and the developed computer simulation. Moreover, a recent possibilistic programming approach is used to convert the fuzzy DEA model to an equivalent crisp model. The sensitivity analysis show that
α
= 0.1 is the best
α
-cut level for interpreting data. The proposed algorithm is capable of modeling and optimizing the performance of maintenance workshops in uncertain and non-linear environments. The solution quality is inspected and shown through an actual maintenance workshop. This is the first study that presents an integrated non-crisp algorithm for performance optimization of maintenance activities with cognitive and time-dependent factors. |
|---|---|
| AbstractList | This paper puts forward an integrated fuzzy simulation-fuzzy data envelopment analysis (FDEA)-fuzzy cognitive map (FCM) algorithm for performance optimization of maintenance workshops by incorporating cognitive and time-dependent factors. Due to severe ambiguousness associated with the collected data, the fuzzy set theory is incorporated into the approach. Fuzzy computer simulation is employed for modeling the workshop and providing time-dependent factors. FCM is used for extracting relations between cognitive factors. FDEA is used for ranking scenarios based on inputs and outputs of FCM and the developed computer simulation. Moreover, a recent possibilistic programming approach is used to convert the fuzzy DEA model to an equivalent crisp model. The sensitivity analysis show that
α
= 0.1 is the best
α
-cut level for interpreting data. The proposed algorithm is capable of modeling and optimizing the performance of maintenance workshops in uncertain and non-linear environments. The solution quality is inspected and shown through an actual maintenance workshop. This is the first study that presents an integrated non-crisp algorithm for performance optimization of maintenance activities with cognitive and time-dependent factors. This paper puts forward an integrated fuzzy simulation-fuzzy data envelopment analysis (FDEA)-fuzzy cognitive map (FCM) algorithm for performance optimization of maintenance workshops by incorporating cognitive and time-dependent factors. Due to severe ambiguousness associated with the collected data, the fuzzy set theory is incorporated into the approach. Fuzzy computer simulation is employed for modeling the workshop and providing time-dependent factors. FCM is used for extracting relations between cognitive factors. FDEA is used for ranking scenarios based on inputs and outputs of FCM and the developed computer simulation. Moreover, a recent possibilistic programming approach is used to convert the fuzzy DEA model to an equivalent crisp model. The sensitivity analysis show that α = 0.1 is the best α-cut level for interpreting data. The proposed algorithm is capable of modeling and optimizing the performance of maintenance workshops in uncertain and non-linear environments. The solution quality is inspected and shown through an actual maintenance workshop. This is the first study that presents an integrated non-crisp algorithm for performance optimization of maintenance activities with cognitive and time-dependent factors. |
| Author | Keramati, A. Malek, M. Rezaei Esmizadeh, M. Azadeh, A. Ghaderi, S. F. Pashapour, S. |
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| CitedBy_id | crossref_primary_10_1080_00207543_2021_2002965 crossref_primary_10_1155_2020_1406028 crossref_primary_10_1007_s12351_020_00606_1 crossref_primary_10_1155_2021_8832011 crossref_primary_10_1080_01605682_2025_2476064 crossref_primary_10_1007_s12559_020_09811_8 crossref_primary_10_1007_s12597_025_00968_0 |
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| Keywords | Fuzzy simulation Cognitive factors Fuzzy data envelopment analysis (FDEA) Maintenance workshop Fuzzy cognitive map (FCM) Possibilistic programming |
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| SubjectTerms | Algorithms CAE) and Design Cognitive maps Computer simulation Computer-Aided Engineering (CAD Data collection Data envelopment analysis Engineering Fuzzy set theory Fuzzy sets Industrial and Production Engineering Maintenance Mechanical Engineering Media Management Modelling Operations research Optimization Sensitivity analysis Time dependence Workshops |
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| Title | A unique fuzzy multivariate modeling approach for performance optimization of maintenance workshops with cognitive factors |
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