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Challenges and opportunities of using multi-criteria decision analysis methods (MCDA): A systematic literature review
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Management, Industrial Design and Mechanical Engineering, Industrial Management.ORCID iD: 0009-0007-3277-3891
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Management, Industrial Design and Mechanical Engineering, Industrial Management.ORCID iD: 0000-0002-8305-4412
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Management, Industrial Design and Mechanical Engineering, Industrial Management.ORCID iD: 0000-0003-4813-3323
2025 (English)Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

GPNs are complex systems involving relocation decisions based on evaluating multiple, often conflicting decision factors. MCDA methods offer a structured approach to support such decisions. This study conducted a systematic literature review using the PRISMA framework to explore the challenges and opportunities of applying MCDA methods. Through thematic and reflexive methodology, ten categories were identified. This study also proposes a framework to assist in selecting suitable methods, particularly hybrid and fuzzy approaches, for production relocation decisions and to address broader strategic challenges in GPNs, which were identified and mapped in this study, laying the groundwork for AI-enhanced decision support systems.

Place, publisher, year, edition, pages
2025.
Keywords [en]
MCDA, Production relocation, GPN
National Category
Industrial engineering and management Economics and Business
Research subject
Intelligent Industry
Identifiers
URN: urn:nbn:se:hig:diva-47516OAI: oai:DiVA.org:hig-47516DiVA, id: diva2:1973925
Conference
The 32nd International Annual EUROMA Conference, 13-18 June, Milan, Italy
Available from: 2025-06-20 Created: 2025-06-20 Last updated: 2025-10-02Bibliographically approved

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Abid, MuhammadHilletofth, PerZhao, Ming

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CiteExportLink to record
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Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf