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Optimisation of Robotic Disassembly for Remanufacturing
Kategorie Beschreibung
036aXA-CH
037beng
087q978-3-030-81798-5
087q978-3-030-81800-5
087q978-3-030-81801-2
100 Laili, Yuanjun ¬[VerfasserIn]¬
104aWang, Yongjing ¬[VerfasserIn]¬
108aFang, Yilin ¬[VerfasserIn]¬
112aPham, Duc Truong ¬[VerfasserIn]¬
331 Optimisation of Robotic Disassembly for Remanufacturing
403 1st ed. 2022.
410 Cham
410 Cham
412 Springer International Publishing
412 Imprint: Springer
425 2022
425 2022
425a2022
433 1 Online-Ressource(XX, 183 p. 83 illus., 45 illus. in color.)
451bSpringer Series in Advanced Manufacturing
527 Erscheint auch als (Druck-Ausgabe)ISBN: 978-3-030-81798-5
527 Erscheint auch als (Druck-Ausgabe)ISBN: 978-3-030-81800-5
527 Erscheint auch als (Druck-Ausgabe)ISBN: 978-3-030-81801-2
540aISBN 978-3-030-81799-2
700 |TGP
700 |TEC020000
700b|670
750 A Brief Introduction on Remanufacturing -- Robotic Disassembly for Remanufacturing -- The Product Representation for Disassembly Sequence Generation -- Component and Subassembly Detection -- Modeling of Robotic Disassembly Sequence Planning -- Modeling of Robotic Disassembly Line Balancing -- Evolutionary Optimization for Robotic Disassembly -- Solutions of Robotic Disassembly Sequence Planning with Backup Actions -- Solutions of Robotic Disassembly Sequence Re-planning -- Solutions of Robotic Disassembly Line Balancing -- Solutions of Mixed Model Disassembly Line Balancing with Multi-Robotic Workstations.
753 This book illustrates the main characteristics, challenges and optimisation requirements of robotic disassembly. It provides a comprehensive insight on two crucial optimisation problems in the areas of robotic disassembly through a group of unified mathematical models. The online and offline optimisation of the operational sequence to dismantle a product, for example, is represented with a list of conflicting objectives and constraints. It allows the decision maker and the robots to match the situation automatically and efficiently. To identify a generic solution under different circumstances, classical metaheuristics that can be used for the optimisation of robotic disassembly are introduced in detail. A flexible framework is then presented to implement existing metaheuristics for sequence planning and line balancing in the circumstance of robotic disassembly. Optimisation of Robotic Disassembly for Remanufacturing provides practical case studies on typical product instances to help practitioners design efficient robotic disassembly with minimal manual operation, and offers comparisons of the state-of-the-art metaheuristics on solving the key optimisation problems. Therefore, it will be of interest to engineers, researchers, and postgraduate students in the area of remanufacturing.
012 1769723102
081 Optimisation of Robotic Disassembly for Remanufacturing
100 Springer E-Book
125aElektronischer Volltext - Campuslizenz
655e$uhttps://doi.org/10.1007/978-3-030-81799-2
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