Evaluation of green lean production in textile industry: a hybrid fuzzy decision-making framework
Textile industry is an old and effective industry in Iran. However, due to its age and high energy consumption, this industry has low profitability and entrepreneurship. One of the most important problems of the weaving industry is the issue of waste regarding manpower, materials, machinery, and esp...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Springer
2021
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| Subjects: | |
| Online Access: | https://repository.londonmet.ac.uk/6987/7/LMU%20resp.pdf |
| _version_ | 1804072673960001536 |
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| author | Vahabi Nejat, Shadi Avakh Darestani, Soroush Omidvari, Manouchehr Amin Adibi, Mohammad Amin |
| author_facet | Vahabi Nejat, Shadi Avakh Darestani, Soroush Omidvari, Manouchehr Amin Adibi, Mohammad Amin |
| author_sort | Vahabi Nejat, Shadi |
| collection | LMU |
| description | Textile industry is an old and effective industry in Iran. However, due to its age and high energy consumption, this industry has low profitability and entrepreneurship. One of the most important problems of the weaving industry is the issue of waste regarding manpower, materials, machinery, and especially energy consumption. Another problem is environmental pollution. In this paper, using a multiple decision-making model for ranking and selecting criteria and sub-criteria, which is presented using the step-wise weight assessment ratio analysis (SWARA) and also by examining several industrial plants on weaving, the final ranking was performed using the fuzzy COPRAS method. According to the final result and using the opinions of experts and reviewing the studied cases, the environmental criterion was more important than other criteria, and also according to the existing sub-criteria, the amount of CO2 production and pH in the process of completion and washing and the types of pollution in the effluent and sewage were more important than other sub-criteria. Also, among the alternatives, company 5 is evaluated as the best alternative. |
| first_indexed | 2024-07-09T04:02:54Z |
| format | Article |
| id | oai:repository.londonmet.ac.uk:6987 |
| institution | London Metropolitan University |
| language | English |
| last_indexed | 2024-07-09T04:02:54Z |
| publishDate | 2021 |
| publisher | Springer |
| record_format | eprints |
| spelling | oai:repository.londonmet.ac.uk:69872024-01-11T16:22:18Z http://repository.londonmet.ac.uk/6987/ Evaluation of green lean production in textile industry: a hybrid fuzzy decision-making framework Vahabi Nejat, Shadi Avakh Darestani, Soroush Omidvari, Manouchehr Amin Adibi, Mohammad Amin 580 Plants (Botany) 620 Engineering & allied operations 670 Manufacturing Textile industry is an old and effective industry in Iran. However, due to its age and high energy consumption, this industry has low profitability and entrepreneurship. One of the most important problems of the weaving industry is the issue of waste regarding manpower, materials, machinery, and especially energy consumption. Another problem is environmental pollution. In this paper, using a multiple decision-making model for ranking and selecting criteria and sub-criteria, which is presented using the step-wise weight assessment ratio analysis (SWARA) and also by examining several industrial plants on weaving, the final ranking was performed using the fuzzy COPRAS method. According to the final result and using the opinions of experts and reviewing the studied cases, the environmental criterion was more important than other criteria, and also according to the existing sub-criteria, the amount of CO2 production and pH in the process of completion and washing and the types of pollution in the effluent and sewage were more important than other sub-criteria. Also, among the alternatives, company 5 is evaluated as the best alternative. Springer 2021-08-24 Article PeerReviewed text en https://repository.londonmet.ac.uk/6987/7/LMU%20resp.pdf Vahabi Nejat, Shadi, Avakh Darestani, Soroush, Omidvari, Manouchehr and Amin Adibi, Mohammad Amin (2021) Evaluation of green lean production in textile industry: a hybrid fuzzy decision-making framework. Environmental Science and Pollution Research, 29. pp. 11590-11611. ISSN 1614-7499 https://doi.org/10.1007/s11356-021-16211-4 10.1007/s11356-021-16211-4 |
| spellingShingle | 580 Plants (Botany) 620 Engineering & allied operations 670 Manufacturing Vahabi Nejat, Shadi Avakh Darestani, Soroush Omidvari, Manouchehr Amin Adibi, Mohammad Amin Evaluation of green lean production in textile industry: a hybrid fuzzy decision-making framework |
| title | Evaluation of green lean production in textile industry: a hybrid fuzzy
decision-making framework |
| title_full | Evaluation of green lean production in textile industry: a hybrid fuzzy
decision-making framework |
| title_fullStr | Evaluation of green lean production in textile industry: a hybrid fuzzy
decision-making framework |
| title_full_unstemmed | Evaluation of green lean production in textile industry: a hybrid fuzzy
decision-making framework |
| title_short | Evaluation of green lean production in textile industry: a hybrid fuzzy
decision-making framework |
| title_sort | evaluation of green lean production in textile industry a hybrid fuzzy decision making framework |
| topic | 580 Plants (Botany) 620 Engineering & allied operations 670 Manufacturing |
| url | https://repository.londonmet.ac.uk/6987/7/LMU%20resp.pdf |
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