Evaluating challenges of implementing Industry 5.0 in the renewable energy supply chain toward sustainability: A comparative analysis using decision-making approaches
Open accessAbstract
The Renewable Energy (RE) supply chain faces challenges such as infrastructure constraints, and dependence on weather conditions, which affect production stability. Also, high initial costs and unstable support policies create significant financial barriers in RE. Using the capabilities of new technologies can help improve productivity in this field. Industry 5.0 (I5.0) uses developed technology to optimize processes, increase stability, reduce costs, and increase productivity in RE. Therefore, a decision-making framework is presented to assess the challenges of I5.0 in the RE supply chain. It proposes an integrated decision framework including the Fuzzy Stepwise Weight Assessment Ratio Analysis (F-SWARA), and Fuzzy Combined Compromise Solution (F-CoCoSo) methods. The sensitivity of the findings and validation are checked with different decision-making approaches. Appropriate investment amount, attention to technical infrastructure, and the availability of financial resources are the most important factors with values of 0.236, 0.172, and 0.129 respectively. The main challenges are insufficient investment and attention to information security for implementing I5.0 in the RE supply chain. Measures and financial incentives for the development of internal and external cooperation and data security measures, advanced encryption protocols, and basic security and cyber actions are necessary to attract investment and create a safe environment.
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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 [65]
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- Authors
- Hosseini Dehshiri, S. J., & Amiri, M.
- Affiliations
- Allameh Tabataba'i University (IR)
- Venue
- Energy Strategy Reviews
- Publisher
- Elsevier BV
- Published
- 2025-05
- Volume
- 59
- Pages
- 101761
- ISSN
- 2211-467X (ISSN-L)
- OpenAlex
- W4410563841
- Cited by
- 10
- References
- 75
- Citations by year
- 2026: 6 · 2025: 4
- FWCI
- 4.92
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Energy Strategy Reviews (publishedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Social Sciences › Decision Sciences › Management Science and Operations Research › Multi-Criteria Decision Making
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Keywords
- Industry 5.0, renewable energy supply chain, supply chain sustainability, implementation barriers, fuzzy multi-criteria decision making, renewable energy investment, information security, cybersecurity, financial barriers, weather dependence, production stability
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