Sustainable Manufacturing: Enabling Technologies and Emerging Research Trends—A Scoping Review

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Authors: Alejandro Martı́nez, Eva M. Rubio, Amabel García-Domínguez, Juan Claver
Cited by: 1
References: 139

Abstract

The current industrial production model faces major environmental, economic, and social challenges due to resource depletion, increasing energy demand, and climate change. Manufacturing significantly contributes to emissions, material consumption, and waste, making sustainable manufacturing (SM) essential for transitioning toward more resource-efficient, circular, and socially responsible systems. This study provides a structured overview of SM, focusing on enabling technologies and emerging research trends. Sustainability is analyzed through approaches such as sustainable development, cleaner production, eco-efficiency, and the circular economy. The role of key technologies—including additive manufacturing, artificial intelligence, big data analytics, the Internet of Things, digital twins, and cyber-physical systems—is examined in improving efficiency, reducing waste, and supporting circular production. A scoping review was conducted following the PRISMA-ScR guidelines using the Web of Science database, focusing on recent publications. The results highlight a growing integration of digital technologies, energy-efficient systems, and circular strategies, alongside the increasing importance of data-driven decision-making. A strong convergence between artificial intelligence, energy transition, circular economy approaches, and digital transformation is also identified. Overall, achieving sustainable manufacturing requires an integrated approach addressing environmental, economic, and social dimensions. This review maps the field and identifies key directions for future research and practice.

Fields of Study & Subjects

Digital Transformation in Industry Sustainable Supply Chain Management Impact of AI and Big Data on Business and Society

Publication details

Journal / source
Sustainability
Publisher
MDPI AG
Volume
18
Issue
9
Pages
4602–4602
Publication date
6 May 2026
Language
EN