Evaluating challenges of circular economy and Internet of Things in renewable energy supply chain through a hybrid decision-making framework
Abstract
Due to industrial development, expansion of communities, and attention to sustainable development, sustainable energy supply has become a big challenge for communities. In this regard, the development and use of Renewable Energy (RE) are considered due to reducing the harmful environmental effects of fossil fuels. Improving the efficiency of the Renewable Energy Supply Chain (RESC) is important for using RE. To improve the performance and efficiency of RESC, it is necessary to use emerging technologies such as the Internet of Things (IoT) and its integration with the principles of the Circular Economy (CE). Therefore, this study proposes integrating IoT and CE for sustainable development and resource management in RESC. Also, this research provides a hybrid decision framework to assess the challenges of IoT and CE in the RESC of Iran. The CRiteria Importance Through Intercriteria Correlation (CRITIC) technique is used to specify the importance of the criteria. The Fuzzy Evaluation Based on Distance from Average Solution (FEDAS) technique ranks the challenges. The findings indicated that considering the cost of investment, the rate of return on investment, and the productivity rate were the most important sub-criteria with values of 0.149, 0.129, and 0.106 respectively. Then, the sensitivity of the results is examined and the validation of the findings is analyzed with decision-making methods. The results indicate the high priority of the challenge related to transparency in the implementation procedures of IoT and RE projects and information dissemination protocols, the development of guidelines for the integration of IoT in other systems in the information network, and the amount of investment and lack of access to financial resources. This study provided practical insights for RE development based on IoT and CE capabilities for energy planning.
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The approach used here strengthens the evaluation process and increases the importance of incorporating more advanced decision-making tools into sustainability-focused initiatives.
“The approach used here not only strengthens the evaluation process but also increases the importance of incorporating more advanced decision-making tools into sustainability-focused initiatives65–67.”
From A decision-support framework for evaluating AI-enabled ESG strategies in the context of sustainable manufacturing systems (2025) · cites this paper as [67]
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- Authors
- Hosseini Dehshiri, S. J., Mostafaeipour, A., & Amiri, M.
- Affiliations
- Duy Tan University (VN)
- Allameh Tabataba'i University (IR)
- Corresponding author
- Mostafaeipour, Ali
- Venue
- Journal of Environmental Management
- Publisher
- Elsevier BV
- Published
- 2024-11
- Volume
- 370
- Pages
- 122785
- ISSN
- 0301-4797 (ISSN-L)
- OpenAlex
- W4403194755
- Cited by
- 17
- References
- 76
- Citations by year
- 2026: 9 · 2025: 8
- FWCI
- 5.71
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Journal of Environmental Management (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Strategy and Management › Sustainable Supply Chain Management
- Social Sciences › Decision Sciences › Management Science and Operations Research › Multi-Criteria Decision Making
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Energy and Environmental Sustainability
- Keywords
- circular economy, Internet of Things, renewable energy supply chain, critics, challenge prioritization, investment costs, return on investment, resource management, energy planning, Iran
- MeSH terms
- Sustainable Development, Internet of Things, Decision Making, Iran, Renewable Energy
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