Scilight Press

Sustainable Manufacturing and Intelligent Operation is a peer-reviewed, high-impact journal dedicated to advancing research across the full spectrum of sustainable manufacturing and intelligent operations. The journal particularly welcomes original perspectives, innovative research, and forward-looking hypotheses that broaden our understanding of modern manufacturing and operations systems. We welcome submissions from diverse fields, including manufacturing engineering, operations management, industrial engineering, information technology, environmental science, etc., and encourage contributions that challenge traditional boundaries in the field. The journal aims to provide a platform for researchers, engineers, and practitioners worldwide to publish research findings that are both theoretically profound and practically applicable. Our scope covers various types of research that offer new perspectives on complex manufacturing and operations issues. The journal is published online by Scilight Press Quarterly.

Scope of the Journal:

Sustainable Manufacturing and Intelligent Operation is dedicated to publishing research that covers the full spectrum of inquiry into sustainable manufacturing and intelligent operations, with a particular focus on their intersection, integration, and synergy. We seek research that advances new ideas in manufacturing processes, operational strategies, and related enabling technologies, strengthens theoretical frameworks in areas such as circular economy, smart factories, supply chain resilience, etc., or proposes forward-looking solutions with global industrial and societal relevance. Manuscripts that contribute to a comprehensive understanding of manufacturing systems and their sustainability and intelligent performance through innovative methods, interdisciplinary perspectives, or in-depth analysis will be highly valued.

Key Areas of Interest:

1. Sustainable Manufacturing Principles and Theory: Submissions are encouraged on topics such as circular economy models, life cycle assessment (LCA) methodologies, eco-design principles, industrial symbiosis, green supply chain management theories, and social sustainability frameworks in manufacturing processes, especially new theories and concepts with potential for cross-industry application.
2. Resource Efficiency and Waste Reduction: We welcome research on technologies, methods, and strategies related to energy efficiency, water conservation, material flow analysis, waste resource utilization, recycling technologies, and pollution prevention throughout the manufacturing process.
3. Smart Manufacturing Systems and Technologies: We invite research exploring the Industrial Internet of Things (IIoT), applications of artificial intelligence and machine learning in process optimization/quality control/predictive maintenance, cyber-physical systems (CPS), digital twins, advanced robotics and automation technologies, and the contribution of additive manufacturing to sustainability.
4. Sustainable intelligent operation of manufacturing systems: Focuses on the application of intelligent technologies in manufacturing operations, exploring the optimization of production processes using big data and AI, intelligent monitoring for energy saving and emission reduction, cross-platform collaboration to enhance total factor productivity, and innovative practices and cross-domain applications for human-machine-environment collaboration optimization.
5. Integration of Sustainability and Intelligence: Emphasizes research on how intelligent technologies enable sustainability goals (e.g., using AI to optimize energy consumption), sustainable business models driven by intelligent operations, and the assessment of the impact of intelligent systems on sustainability metrics.
6. Human Factors and Social Sustainability: Covers research on human factors engineering in smart factories, employee adaptation to automation, ethical considerations of AI in manufacturing, corporate social responsibility in operations, and skills development for the future manufacturing workforce.
7. Intelligent Remanufacturing Technology and Operations: Focus on the deep integration of intelligent manufacturing technology and traditional remanufacturing, integrate the Internet of Things, big data, and artificial intelligence, realize the intelligentization of waste product recycling, disassembly, detection, and remanufacturing production, optimize process and scheduling, improve resource utilization, and promote the efficient and sustainable development of Remanufacturing industry.
8. Methodological Innovation: The journal is also dedicated to advancing research methodologies in the manufacturing and operations fields. We welcome research employing innovative techniques (such as advanced simulation and modeling, big data analytics, sensor networks, and artificial intelligence), as well as research utilizing experimental, observational, case study, and systems synthesis methods to address urgent industrial and societal challenges.

Editorial Standards:

Our mission is to support rigorous, high-quality research to attract international researchers, engineers, practitioners, and policymakers in manufacturing, operations, and related fields. We prioritize manuscripts that are methodologically sound, conceptually clear, and have significant relevance to both scientific understanding and industrial practice/societal impact. High-impact manuscripts with broad theoretical implications and significant practical potential will be given priority consideration.

By providing a platform for bold thinking and scientific rigor in sustainable and intelligent manufacturing/operations, Sustainable Manufacturing and Intelligent Operation aspires to shape future research directions and contribute to the advancement of sustainable and intelligent industrial practices globally.