Integrated Sustainable Industrial Systems: Engineering, Intelligent Optimization, and Resilient Supply Networks

Faculty of Chemical Engineering & Technology, Universiti Malaysia Perlis, Arau, MalaysiaGreen Separation, Subcritical Water Technology, Supercritical Technology, Advanced Separation Techniques, Artificial Neural Networks, Solubility Prediction, Mass Transfer Mechanisms, Spray Drying Technology

Integrated Sustainable Industrial Systems is an interdisciplinary field that combines sustainable engineering, digital intelligence, and strategic supply chain management to support the transition towards environmentally responsible, economically viable, and resilient industrial ecosystems. The field emphasizes the design and optimization of circular production systems, green manufacturing processes, sustainable materials, and lifecycle engineering to minimize resource consumption and environmental impacts. Complementing these engineering advances, artificial intelligence (AI), machine learning, digital twins, Industry 4.0 technologies, and multi-objective optimization enable real-time decision-making, predictive analytics, and intelligent resource allocation that enhance operational efficiency while reducing energy use, waste generation, and carbon emissions. Beyond production systems, the field also addresses the resilience of industrial and supply chain networks by integrating sustainable logistics, risk assessment, disruption recovery, and adaptive decision-making to strengthen long-term competitiveness under increasingly uncertain economic, environmental, and geopolitical conditions. By aligning engineering innovation with the principles of the circular economy, digital transformation, and the United Nations Sustainable Development Goals (SDGs), Integrated Sustainable Industrial Systems provides a comprehensive framework for developing industries that are not only efficient and technologically advanced but also environmentally sustainable, socially responsible, and resilient to future global challenges.



