Next Article in Journal
The Impact of the Service Trade Innovative Development Pilot Policy on Pollution Reduction and Carbon Reduction
Previous Article in Journal
Improving Scope 3.1 Carbon Accounting: A Framework for Selecting Weight-Based Material Emission Factors
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Review

Synergizing Sustainable Materials and Advanced Manufacturing for Sustainability Performance: A Literature Review

by
Mohammed Zouini
1 and
Mohamed Saad Bajjou
2,*
1
Higher Normal School, Sidi Mohamed Ben Abdellah University, Bensouda, Fez B.P. 5206, Morocco
2
National School of Mines of Rabat, LMAIED Laboratory, Agdal, Rabat B.P. 753, Morocco
*
Author to whom correspondence should be addressed.
Sustainability 2026, 18(14), 7077; https://doi.org/10.3390/su18147077
Submission received: 19 April 2026 / Revised: 24 June 2026 / Accepted: 29 June 2026 / Published: 10 July 2026

Abstract

The integration of sustainable materials and Industry 4.0 technologies as the overarching paradigm offers significant potential to advance manufacturing sustainability. However, existing research remains fragmented, often focusing on isolated topics such as recycled plastics in additive manufacturing or the use of machine learning and material informatics in material processing. As a result, limited attention has been given to the combined effects of these approaches across the economic, environmental, social, and technological dimensions of sustainability. To address this gap, this study presents a systematic literature review of 156 peer-reviewed articles published between 2015 and 2025 and develops the concept of Sustainable Circular Manufacturing (SCM) as the sweet spot between sustainable materials and Industry 4.0. The review shows that SCM-related studies primarily enhance data acquisition, process transparency, intelligent decision-making, process optimization, automation, and human–technology interaction. The findings also indicate that the literature is strongly weighted toward environmental indicators such as carbon footprint, energy efficiency, and circularity, whereas social sustainability and economic viability remain comparatively underexplored. Building on these insights, the study proposes SCM as an integrative conceptual framework that clarifies the causal pathways linking sustainable material strategies and Industry 4.0 enablers to multidimensional sustainability performance. Finally, the review identifies key implementation barriers and outlines a future research agenda to support digitally enabled circular material strategies.
Keywords: sustainable materials; advanced manufacturing; sustainability; artificial intelligence (AI); machine learning; Industry 4.0; additive manufacturing; life cycle assessment (LCA); circular economy; material selection; sustainable production systems; literature review sustainable materials; advanced manufacturing; sustainability; artificial intelligence (AI); machine learning; Industry 4.0; additive manufacturing; life cycle assessment (LCA); circular economy; material selection; sustainable production systems; literature review

Share and Cite

MDPI and ACS Style

Zouini, M.; Bajjou, M.S. Synergizing Sustainable Materials and Advanced Manufacturing for Sustainability Performance: A Literature Review. Sustainability 2026, 18, 7077. https://doi.org/10.3390/su18147077

AMA Style

Zouini M, Bajjou MS. Synergizing Sustainable Materials and Advanced Manufacturing for Sustainability Performance: A Literature Review. Sustainability. 2026; 18(14):7077. https://doi.org/10.3390/su18147077

Chicago/Turabian Style

Zouini, Mohammed, and Mohamed Saad Bajjou. 2026. "Synergizing Sustainable Materials and Advanced Manufacturing for Sustainability Performance: A Literature Review" Sustainability 18, no. 14: 7077. https://doi.org/10.3390/su18147077

APA Style

Zouini, M., & Bajjou, M. S. (2026). Synergizing Sustainable Materials and Advanced Manufacturing for Sustainability Performance: A Literature Review. Sustainability, 18(14), 7077. https://doi.org/10.3390/su18147077

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Article metric data becomes available approximately 24 hours after publication online.
Back to TopTop