Introduction.- Part I: Sustainable Machining Planning, Optimization, and Applications.- I: Energy-Aware Integrated Process Planning and Scheduling for Job Shops.- II: A Hybrid Optimization Approach for Sustainable Process Planning and Scheduling.- III: A Systematic Approach of Process Planning and Scheduling Optimization for Sustainable Machining.- IV: Experimental Investigation and Multi-objective Optimization Approach for Low-Carbon Milling Operation of Aluminium.- V: Process Planning Optimization Based on Big Data and Smart Senor-Based Monitoring.- VI: Immune Optimization for Process Planning and Scheduling.- VII: Energy Optimization for Sustainable Manufacturing.- VIII: Energy Efficiency, Robustness, and Makespan Optimality in Job-Shop Scheduling Problems.- Part II: Remanufacturing Planning, Optimization, and Applications.- I: A Semantic Information Services Framework for Sustainable WEEE Management towards Cloud-Based Remanufacturing.- II: Customized Disassembly and Processing of Waste Electrical and Electronic Equipment.- III: A Systematic Selective Disassembly Approach for Waste Electrical and Electronic Equipment with Case Studies.- IV: Disassembly Sequence Planning using a Simplified Teaching-Learning-based Optimization Algorithm.
Professor Weidong Li is a professor of Manufacturing at Coventry University, UK. He has more than twenty years’ experience in computer-aided design, manufacturing informatics, cloud manufacturing and sustainable manufacturing. His research has been sponsored by a number of research and development projects from the UK EPSRC, EU and European industries. He has published three books and more than 120 research papers.
This book reports on the latest research and applications in the fields of sustainable manufacturing and remanufacturing, as well as process planning and optimization technologies. It introduces innovative algorithms, methodologies, industrial case studies and applications.
It focuses on two topics: sustainable manufacturing for machining technologies and remanufacturing of waste electronic equipment, and various methods are covered for each one, including macro process planning, dynamic scheduling, selective disassembly planning and cloud-based disassembly planning. The experimental analysis provided for every method explains the benefits, as well as how they are sustainable for various real-world applications. Further, a theoretical analysis and algorithm design is presented for each, accompanied by the contributors’ relevant research, including:
• step-by-step guides;
• application scenarios;
• relevant literature surveys;
• implementation details and case studies; and
• critical reviews on the relevant technologies.
This book is a valuable resource for researchers in sustainable manufacturing, remanufacturing and product lifecycle management communities, as well as practicing engineers and decision-makers in industry and all those interested in sustainable product development. It is also useful reading material for postgraduates and academics wanting to conduct relevant research, and a reference resource for manufacturing engineers developing innovative tools and methodologies.