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Towards Sustainable Industry 4.0: An MCDA-Based Assessment Framework for Manufacturing and Logistics

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  • Witold Torbacki

    (Faculty of Engineering and Economics of Transport, Maritime University of Szczecin, 70-507 Szczecin, Poland)

Abstract

Industrial enterprises and their supply chain partners are increasingly seeking methods to optimise production and logistics processes while pursuing sustainable development goals. The complexity and high risk associated with implementing Industry 4.0 technologies calls for structured decision-making support. This study presents a novel multi-criteria evaluation framework that integrates technological, organisational, and sustainability dimensions to support strategic transformation efforts. The proposed model comprises four subspheres of manufacturing, four subspheres of supply chain and logistics, twenty-three emerging technologies, and four sustainability perspectives adapted to industrial contexts. A hybrid MCDM approach combining DEMATEL and PROMETHEE II is applied to identify causal relationships, prioritise technologies, and rank sustainability priorities across different dimensions. The methodology enables companies to determine which technologies should be implemented first and how these relate to broader sustainability objectives. The results provide a structured roadmap for decision-makers, highlighting five key strategic areas for the sustainable implementation of Industry 4.0. In addition to its managerial relevance, the proposed model offers scientific novelty by bridging previously siloed research areas and demonstrating a data-driven approach to transformation planning.

Suggested Citation

  • Witold Torbacki, 2025. "Towards Sustainable Industry 4.0: An MCDA-Based Assessment Framework for Manufacturing and Logistics," Sustainability, MDPI, vol. 17(11), pages 1-28, June.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:11:p:5082-:d:1669941
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    References listed on IDEAS

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    1. Devika Kannan & Parvaneh Gholipour & Chunguang Bai, 2023. "Smart manufacturing as a strategic tool to mitigate sustainable manufacturing challenges: a case approach," Annals of Operations Research, Springer, vol. 331(1), pages 543-579, December.
    2. Fengxue Yin & Yanling Xiao & Rui Cao & Jianhua Zhang, 2023. "Impacts of ESG Disclosure on Corporate Carbon Performance: Empirical Evidence from Listed Companies in Heavy Pollution Industries," Sustainability, MDPI, vol. 15(21), pages 1-19, October.
    3. Zeki Murat Çınar & Abubakar Abdussalam Nuhu & Qasim Zeeshan & Orhan Korhan & Mohammed Asmael & Babak Safaei, 2020. "Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0," Sustainability, MDPI, vol. 12(19), pages 1-42, October.
    4. Jaroslav Vrchota & Martin Pech & Ladislav Rolínek & Jiří Bednář, 2020. "Sustainability Outcomes of Green Processes in Relation to Industry 4.0 in Manufacturing: Systematic Review," Sustainability, MDPI, vol. 12(15), pages 1-47, July.
    5. Behzadian, Majid & Kazemzadeh, R.B. & Albadvi, A. & Aghdasi, M., 2010. "PROMETHEE: A comprehensive literature review on methodologies and applications," European Journal of Operational Research, Elsevier, vol. 200(1), pages 198-215, January.
    6. Witold Torbacki, 2021. "A Hybrid MCDM Model Combining DANP and PROMETHEE II Methods for the Assessment of Cybersecurity in Industry 4.0," Sustainability, MDPI, vol. 13(16), pages 1-35, August.
    7. Carla Gonçalves Machado & Mats Peter Winroth & Elias Hans Dener Ribeiro da Silva, 2020. "Sustainable manufacturing in Industry 4.0: an emerging research agenda," International Journal of Production Research, Taylor & Francis Journals, vol. 58(5), pages 1462-1484, March.
    8. Bertrand Mareschal & Jean Pierre Brans & Philippe Vincke, 1986. "How to select and how to rank projects: the Prométhée method," ULB Institutional Repository 2013/9307, ULB -- Universite Libre de Bruxelles.
    9. Brans, J. P. & Vincke, Ph. & Mareschal, B., 1986. "How to select and how to rank projects: The method," European Journal of Operational Research, Elsevier, vol. 24(2), pages 228-238, February.
    10. Cristina Ciliberto & Katarzyna Szopik‐Depczyńska & Małgorzata Tarczyńska‐Łuniewska & Alessandro Ruggieri & Giuseppe Ioppolo, 2021. "Enabling the Circular Economy transition: a sustainable lean manufacturing recipe for Industry 4.0," Business Strategy and the Environment, Wiley Blackwell, vol. 30(7), pages 3255-3272, November.
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