EVERGREEN

Joint Journal of Novel Carbon Resource Sciences and Green Asia Strategy

ISSN:2189-0420 (Print until Mar 2020)
ISSN:2432-5953 (Online)

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Mapping Methodologies and Research Gaps in Remanufacturing Policy: A Bibliometric Insight Toward Circular Sustainability

Tatbita Titin Suhariyanto1,2,*, Maria Anityasari1, Joko Lianto Buliali3, Hayati Mukti Asih2, Rindi Kusumawardani1, Reza Aulia Akbar1, Komang Nickita Sari1
1Department of Industrial and Systems Engineering, Institut Teknologi Sepuluh Nopember, Indonesia
2Department of Industrial Engineering, Universitas Ahmad Dahlan, Indonesia
3Department of Informatics, Institut Teknologi Sepuluh Nopember, Indonesia
*Author to whom correspondence should be addressed:
E-mail: tatbita.suhariyanto@ie.uad.ac.id (TTS)
Evergreen, Vol. 13, Iss. 01, pp. 105–132, 2026
DOI: 10.5109/7405132
Creative Commons Attribution 4.0 International Creative Commons Attribution 4.0 International
Received: May 28, 2025 | Revised: July 14, 2025 | Accepted: December 22, 2025 | Published: March 2026
Abstract
This study presents a bibliometric analysis of remanufacturing policy research, focusing on key methodologies, thematic clusters, and trends that shape the field. The research explores policy frameworks supporting circular economy principles, resource efficiency, and environmental sustainability. By mapping research methodologies such as Life Cycle Assessment (LCA), simulation modeling, and optimization models, this study highlights their applications in remanufacturing policies and decision-making. The findings indicate that while reverse logistics, closed-loop supply chains, and sustainability policies are central themes, emerging areas like carbon emissions, pricing models, and game theory remain underexplored. The study identifies gaps in policy-focused research, emphasizing the need for interdisciplinary approaches integrating economic, regulatory, and technological dimensions. Recommendations for future research include enhancing policy-driven modeling, incorporating agent-based modeling and simulation (ABMS) and system dynamics (SD), and expanding the role of decision support systems. These insights contribute to advancing sustainable remanufacturing policies aligned with circular sustainability goals.
Keywords
circular sustainability; closed-loop supply chain; decision support systems; environmental policy; optimization modeling; remanufacturing policy; reverse logistics
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References
  1. 1) Define the Research Questions
  2. 2) What are the commonly used research methodologies in remanufacturing policy research, and how are they linked to specific policy focus areas and decision-making tools?
  3. 3) What are the key thematic clusters, top-impact terms, and keyword connections that define the intellectual structure of remanufacturing policy research?
  4. 4) What trends and gaps exist in remanufacturing policy research methodologies, and how can these be addressed to align with sustainability and policy goals?
  5. 5) Data Collection and Verification
  6. 6) Screen, Refine, and Verify the Dataset
  7. 7) Running and Summarizing the Co-Occurrence Analysis
  8. 8) Analyze and Interpret the Results
  9. 9) Report and Disseminate Findings
  10. 10) Results and Discussion
  11. 11) Common Methodologies in Remanufacturing Policy Research
  12. 12) Cluster 1: Sustainability and Circular Economy
  13. 13) Cluster 2: Optimization and Control Policies
  14. 14) Cluster 3: Reverse Logistics and Inventory Control
  15. 15) Cluster 4: Environmental Policy and Decision Support
  16. 16) Cluster 5: Disassembly and Dynamic Programming
  17. 17) Cluster 6: Supply Chain Management and System Dynamics (SD)
  18. 18) Cluster 7: Pricing and Game Theory
  19. 19) Cluster 8: Carbon Emissions and Core Acquisition
  20. 20) Cluster 9: Carbon Cap-and-Trade and Collection
  21. 21) Cluster 10: Preventive Maintenance and Sensor-Embedded Products
  22. 22) Distribution of methodologies across clusters
  23. 23) Thematic Clusters and Keyword Analysis
  24. 24) Network Visualization: Core Research Themes and Their Connections
  25. 25) Overlay Visualization: Evolution of Research Trends Over Time
  26. 26) Density Visualization: Areas of High and Low Research Concentration
  27. 27) Top Trending Terms, Top Impact Terms, and Indicative Publications
  28. 28) Content Analysis of Selected Studies
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