Abstract
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.
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All authors contributed to the study. The conception and design were supported by Soroush Avakh Darestani, Manouchehr Omidvari, and Mohammad Amin Adibi. Material preparation, data collection, and analysis were performed by Shadi Vahabi Nejat. The first draft of the manuscript was written by Shadi Vahabi Nejat and Soroush Avakh Darestani. All authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
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Highlights
І. Developing a decision support framework for textile industry
ІІ. Applying hybrid fuzzy decision-making model
ІІІ. Strategizing practitioners in textile industry for green lean implementation
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Vahabi Nejat, S., Avakh Darestani, S., Omidvari, M. et al. Evaluation of green lean production in textile industry: a hybrid fuzzy decision-making framework. Environ Sci Pollut Res 29, 11590–11611 (2022). https://doi.org/10.1007/s11356-021-16211-4
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DOI: https://doi.org/10.1007/s11356-021-16211-4