Sustainable Manufacturing and Remanufacturing Management
Process Planning, Optimization and Applications
Seiten
2019
|
1. Softcover reprint of the original 1st ed. 2019
Springer International Publishing (Verlag)
978-3-030-08798-2 (ISBN)
Springer International Publishing (Verlag)
978-3-030-08798-2 (ISBN)
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.
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.
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.
Introduction.- Part I: Sustainable Machining Planning, Optimization, and Applications.- Part II: Remanufacturing Planning, Optimization, and Applications.
Erscheinungsdatum | 04.02.2019 |
---|---|
Zusatzinfo | XIII, 346 p. 155 illus., 92 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 551 g |
Themenwelt | Technik ► Maschinenbau |
Schlagworte | Energy-Efficient Manufacturing • Industry 4.0 • Product Lifecycle Management • remanufacturing • sustainability • sustainable manufacturing |
ISBN-10 | 3-030-08798-0 / 3030087980 |
ISBN-13 | 978-3-030-08798-2 / 9783030087982 |
Zustand | Neuware |
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