Determining the Importance and Prioritization of Sustainability Indicators in Cellulose Industries Using the Combined Fuzzy BWM-AHP-ARAS Method

Considering the ever-increasing growth of the world's population and the increasing needs for cellulosic products, it is very important to maintain sustainability in this industry. Therefore, it is necessary to determine the importance of sustainability indicators in cellulose industries, to improve the performance and environmental, social and economic effects of this industry. Because, by determining the importance of sustainability indicators in cellulose industries, it is possible to determine appropriate strategies and policies to improve sustainable performance in this industry and help achieve sustainable development and environmental protection.Therefore, the main goal of this research is to rely on the presented importance of developing a decision-making model that is able to identify the importance of categories (indices) affecting the sustainability of cellulose industries and also calculate the prioritization of sub-factors by analyzing through multi-criteria decision-making techniques. In this research, a combined method using hierarchical analysis and best-worst methods to calculate the weight of categories and Aras prioritization method is used to select the best option and suggest the order of preferred ranking of the options. From the analysis, it has been determined that 11 main categories and three sub-categories affect the sustainability of cellulose industries. According to the results, among the main categories of strategic supplier cooperation with a consolidated weight score of 0.1801, continuous improvement is the least important with a consolidated weight score of 0.0252. Also, among the sub-factors, environmental management with a desirability degree of 1 has the first priority and environmental pressure with a desirability degree of 0.555 has the last priority. In addition, with the introduction of this decision-making framework, the analyzes of previous researchers have been reconstructed, and the framework of alternative rankings has been proposed in a hybrid way.