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A systematic review of empirical studies on green manufacturing: eight propositions and a research framework for digitalized sustainable manufacturing
Chalmers University of Technology, Department of Industrial and Materials Science, Göteborg, Sweden.ORCID iD: 0000-0002-1772-3884
Chalmers University of Technology, Department of Industrial and Materials Science, Göteborg, Sweden.ORCID iD: 0000-0003-0613-9559
Chalmers University of Technology, Department of Industrial and Materials Science, Göteborg, Sweden.ORCID iD: 0000-0002-2045-7820
Low Carbon and Resource efficiency, R&Di, Instituto de Soldadura e Qualidade (ISQ), Grijó, Portugal.ORCID iD: 0000-0003-1864-2485
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2022 (English)In: Production & Manufacturing Research, ISSN 2169-3277, Vol. 10, no 1, p. 727-759Article, review/survey (Refereed) Published
Sustainable development
Sustainable Development
Abstract [en]

Manufacturers are facing increasing pressures to adapt their operations to meet sustainability goals. Research and developments on industrial digitalization (aka Industry 4.0) present new opportunities to create and capture value in ever-more complex and connected industrial systems. However, digitalization does not always align with sustainability, and case studies combining these two topics are still scarce. To address these gaps, we adopted a bottom-up approach to (1) identify existing environmental solutions and their implemen\tation challenges by reviewing 208 empirical studies, and (2) formulate eight propositions to guide further work so that digitalization supports environmental improvements more systematically. Finally, a framework for Digitalized Sustainable Manufacturing consisting of four research themes is proposed, pointing to future research needed to align industrial development with sustainable development goals. The propositions and framework aim to structure and focus future research by targeting specifically the challenges encountered when implementing environmental solutions in manufacturing.

Place, publisher, year, edition, pages
Taylor & Francis, 2022. Vol. 10, no 1, p. 727-759
Keywords [en]
Sustainable manufacturing, environmental sustainability, environmental performance management, environmental impact assessment, digitalization
National Category
Business Administration Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:hj:diva-58604DOI: 10.1080/21693277.2022.2127428ISI: 000864501600001Local ID: GOA;intsam;835877OAI: oai:DiVA.org:hj-58604DiVA, id: diva2:1702063
Funder
EU, Horizon 2020, 810764Vinnova, 2020-05180Available from: 2022-10-10 Created: 2022-10-10 Last updated: 2022-10-21Bibliographically approved

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Machado, Carla G.

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