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.

中文翻译：

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纺织行业绿色精益生产评价：一种混合模糊决策框架。

纺织业是伊朗古老而有效的产业。然而，由于其年龄和高能耗，该行业的盈利能力和创业精神都较低。纺织行业最重要的问题之一是人力、材料、机械，尤其是能源消耗方面的浪费问题。另一个问题是环境污染。在本文中，使用多决策模型对标准和子标准进行排序和选择，使用逐步权重评估比分析（SWARA）提出，并通过检查几个工业工厂的织造，最终排名为使用模糊 COPRAS 方法进行。根据最终结果，结合专家的意见和对研究案例的审查，环境标准比其他标准更重要，并且根据现有的子标准，完井和洗涤过程中的CO2产生量和pH值以及出水和污水中的污染类型比其他子标准更重要。此外，在备选方案中，公司 5 被评估为最佳备选方案。