Identification and Prioritization of Barriers to Implementing Smart Trash Bins Using Fuzzy Delphi and Best–Worst Method
نویسندگان
1 Department of Industrial Engineering and Management, Faculty of Industrial Engineering and Management, Shahrood University of Technology, Shahrood, Iran
2 Department of Industrial Engineering and Management, Faculty of Industrial Engineering and Management, Shahrood University of Technology, Shahrood, Iran.
doi
10.22091/jemsc.2025.12043.1243چکیده
The rapid growth of urbanization and increasing waste generation have highlighted the necessity of adopting innovative waste management solutions, such as smart trash bins. However, the implementation of such technologies faces various challenges that must be identified and prioritized to support effective urban policy-making. This study aims to identify and prioritize the barriers to implementing smart trash bins in Iran. Initially, 25 barriers were extracted through a comprehensive literature review. These were then refined to 15 key indicators using the fuzzy Delphi method, based on the input of 15 experts in the field of waste management. In the next step, the Best–Worst Method (BWM), a multi-criteria decision-making approach, was employed to prioritize the barriers. The findings showed that economic and political barriers are the most critical, with a weight of 0.404. Technological (0.207) and legal–administrative (0.196) barriers ranked second and third, respectively. The results of this study provide a practical basis for urban policymakers to design targeted strategies to overcome implementation challenges and facilitate the successful adoption of smart technologies in urban waste management systems.
