Fuzzy hybrid MCDM approach for selection of wind turbine service technicians
This research paper is aimed to present a fuzzy Hybrid Multi-criteria decision making (MCDM) methodology for selecting employees. The present study aspires to present the hybrid approach of Fuzzy multiple MCDM techniques with tactical viewpoint to support the recruitment process of wind turbine serv...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Growing Science
2016-01-01
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| Series: | Management Science Letters |
| Subjects: | |
| Online Access: | http://www.growingscience.com/msl/Vol6/msl_2015_119.pdf |
| _version_ | 1818211086642446336 |
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| author | Goutam Kumar Bose Nikhil Chandra Chatterjee |
| author_facet | Goutam Kumar Bose Nikhil Chandra Chatterjee |
| author_sort | Goutam Kumar Bose |
| collection | DOAJ |
| description | This research paper is aimed to present a fuzzy Hybrid Multi-criteria decision making (MCDM) methodology for selecting employees. The present study aspires to present the hybrid approach of Fuzzy multiple MCDM techniques with tactical viewpoint to support the recruitment process of wind turbine service technicians. The methodology is based on the application of Fuzzy ARAS (Additive Ratio Assessment) and Fuzzy MOORA (Multi-Objective Optimization on basis of Ratio Analysis) which are integrated through group decision making (GDM) method in the model for selection of wind turbine service technicians’ ranking. Here a group of experts from different fields of expertise are engaged to finalize the decision. Series of tests are conducted regarding physical fitness, technical written test, practical test along with general interview and medical examination to facilitate the final selection using the above techniques. In contrast to single decision making approaches, the proposed group decision making model efficiently supports the wind turbine service technicians ranking process. The effectiveness of the proposed approach manifest from the case study of service technicians required for the maintenance department of wind power plant using Fuzzy ARAS and Fuzzy MOORA. This set of potential technicians is evaluated based on five main criteria. |
| first_indexed | 2024-12-12T05:26:55Z |
| format | Article |
| id | doaj.art-85844021ce544a948aa9851efa209e40 |
| institution | Directory Open Access Journal |
| issn | 1923-2934 1923-9343 |
| language | English |
| last_indexed | 2024-12-12T05:26:55Z |
| publishDate | 2016-01-01 |
| publisher | Growing Science |
| record_format | Article |
| series | Management Science Letters |
| spelling | doaj.art-85844021ce544a948aa9851efa209e402022-12-22T00:36:26ZengGrowing ScienceManagement Science Letters1923-29341923-93432016-01-016111810.5267/j.msl.2015.12.004Fuzzy hybrid MCDM approach for selection of wind turbine service techniciansGoutam Kumar BoseNikhil Chandra ChatterjeeThis research paper is aimed to present a fuzzy Hybrid Multi-criteria decision making (MCDM) methodology for selecting employees. The present study aspires to present the hybrid approach of Fuzzy multiple MCDM techniques with tactical viewpoint to support the recruitment process of wind turbine service technicians. The methodology is based on the application of Fuzzy ARAS (Additive Ratio Assessment) and Fuzzy MOORA (Multi-Objective Optimization on basis of Ratio Analysis) which are integrated through group decision making (GDM) method in the model for selection of wind turbine service technicians’ ranking. Here a group of experts from different fields of expertise are engaged to finalize the decision. Series of tests are conducted regarding physical fitness, technical written test, practical test along with general interview and medical examination to facilitate the final selection using the above techniques. In contrast to single decision making approaches, the proposed group decision making model efficiently supports the wind turbine service technicians ranking process. The effectiveness of the proposed approach manifest from the case study of service technicians required for the maintenance department of wind power plant using Fuzzy ARAS and Fuzzy MOORA. This set of potential technicians is evaluated based on five main criteria.http://www.growingscience.com/msl/Vol6/msl_2015_119.pdfWind Turbine Service Technicians (Wind techs)MCDMFuzzy Set TheoryMulti Criteria Group Decision making (MCGDM)ARAS-FMOORA – F |
| spellingShingle | Goutam Kumar Bose Nikhil Chandra Chatterjee Fuzzy hybrid MCDM approach for selection of wind turbine service technicians Management Science Letters Wind Turbine Service Technicians (Wind techs) MCDM Fuzzy Set Theory Multi Criteria Group Decision making (MCGDM) ARAS-F MOORA – F |
| title | Fuzzy hybrid MCDM approach for selection of wind turbine service technicians |
| title_full | Fuzzy hybrid MCDM approach for selection of wind turbine service technicians |
| title_fullStr | Fuzzy hybrid MCDM approach for selection of wind turbine service technicians |
| title_full_unstemmed | Fuzzy hybrid MCDM approach for selection of wind turbine service technicians |
| title_short | Fuzzy hybrid MCDM approach for selection of wind turbine service technicians |
| title_sort | fuzzy hybrid mcdm approach for selection of wind turbine service technicians |
| topic | Wind Turbine Service Technicians (Wind techs) MCDM Fuzzy Set Theory Multi Criteria Group Decision making (MCGDM) ARAS-F MOORA – F |
| url | http://www.growingscience.com/msl/Vol6/msl_2015_119.pdf |
| work_keys_str_mv | AT goutamkumarbose fuzzyhybridmcdmapproachforselectionofwindturbineservicetechnicians AT nikhilchandrachatterjee fuzzyhybridmcdmapproachforselectionofwindturbineservicetechnicians |