Sustainable Manufacturing and Remanufacturing Management
Book information
Description
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. Front Matter ....Pages i-xiii Introduction (W. D. Li, S. Wang)....Pages 1-11 Energy-aware Integrated Process Planning and Scheduling for Job Shops (M. Dai, D. B. Tang, Y. C. Xu, W. D. Li)....Pages 13-36 A Hybrid Optimization Approach for Sustainable Process Planning and Scheduling (X. X. Li, W. D. Li, X. T. Cai, F. Z. He)....Pages 37-65 A Systematic Approach of Process Planning and Scheduling Optimization for Sustainable Machining (S. Wang, X. Lu, X. X. Li, W. D. Li)....Pages 67-98 Experimental Investigation and Multi-objective Optimization Approach for Low-Carbon Milling Operation of Aluminum (C. Y. Zhang, W. D. Li, P. Y. Jiang, P. H. Gu)....Pages 99-128 Cyber-Physical System and Big Data-Enabled Scheduling Optimization for Sustainable Machining (Y. C. Liang, X. Lu, S. Wang, W. D. Li)....Pages 129-164 Sustainable Machining Process: Qualitative Analysis and Energy Efficiency Optimization (L. C. Moreira, W. D. Li, X. Lu, M. E. Fitzpatrick)....Pages 165-189 A Multi-granularity NC Program Optimization Approach for Energy Efficient Machining (X. X. Li, W. D. Li, F. Z. He)....Pages 191-212 Energy Efficiency, Robustness, and Makespan Optimality in Job-Shop Scheduling Problems (M. A. Salido, J. Escamilla, F. Barber, A. Giret, D. B. Tang, M. Dai)....Pages 213-233 A Semantic Information Services Framework for Sustainable WEEE Management Toward Cloud-Based Remanufacturing (Kai Xia, Liang Gao, Lihui Wang, Weidong Li, Kuo-Ming Chao)....Pages 235-257 Selective Disassembly Planning for Waste Electrical and Electronic Equipment with Case Studies on Liquid Crystal Displays (W. D. Li, K. Xia, L. Gao, K. M. Chao)....Pages 259-283 A Systematic Selective Disassembly Approach for Waste Electrical and Electronic Equipment (WEEE) (G. Q. Jin, W. D. Li, S. Wang, S. M. Gao)....Pages 285-318 Disassembly Sequence Planning Using a Simplified Teaching-Learning-Based Optimization Algorithm (Kai Xia, Liang Gao, Weidong Li, Kuo-Ming Chao)....Pages 319-343 Back Matter ....Pages 345-346
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