LEADER 03948nam 22006255 450 001 9910523760903321 005 20251113195531.0 010 $a3-030-81799-7 024 7 $a10.1007/978-3-030-81799-2 035 $a(CKB)4100000011999374 035 $a(DE-He213)978-3-030-81799-2 035 $a(MiAaPQ)EBC6706983 035 $a(Au-PeEL)EBL6706983 035 $a(OCoLC)1264471376 035 $a(PPN)257351450 035 $a(EXLCZ)994100000011999374 100 $a20210817d2022 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aOptimisation of Robotic Disassembly for Remanufacturing /$fby Yuanjun Laili, Yongjing Wang, Yilin Fang, Duc Truong Pham 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (XX, 183 p. 83 illus., 45 illus. in color.) 225 1 $aSpringer Series in Advanced Manufacturing,$x2196-1735 311 08$a3-030-81798-9 320 $aIncludes bibliographical references and index. 327 $aA 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. 330 $aThis book illustrates the main characteristics, challenges and optimisation requirements of robotic disassembly. It provides a comprehensive insight on two crucial optimisation problems in the areas of robotic disassembly through a group of unified mathematical models. The online and offline optimisation of the operational sequence to dismantle a product, for example, is represented with a list of conflicting objectives and constraints. It allows the decision maker and the robots to match the situation automatically and efficiently. To identify a generic solution under different circumstances, classical metaheuristics that can be used for the optimisation of robotic disassembly are introduced in detail. A flexible framework is then presented to implement existing metaheuristics for sequence planning and line balancing in the circumstance of robotic disassembly. Optimisation of Robotic Disassembly for Remanufacturing provides practical case studies on typicalproduct instances to help practitioners design efficient robotic disassembly with minimal manual operation, and offers comparisons of the state-of-the-art metaheuristics on solving the key optimisation problems. Therefore, it will be of interest to engineers, researchers, and postgraduate students in the area of remanufacturing. 410 0$aSpringer Series in Advanced Manufacturing,$x2196-1735 606 $aManufactures 606 $aRobotics 606 $aIndustrial engineering 606 $aProduction engineering 606 $aMachines, Tools, Processes 606 $aRobotic Engineering 606 $aIndustrial and Production Engineering 615 0$aManufactures. 615 0$aRobotics. 615 0$aIndustrial engineering. 615 0$aProduction engineering. 615 14$aMachines, Tools, Processes. 615 24$aRobotic Engineering. 615 24$aIndustrial and Production Engineering. 676 $a670.4272 700 $aLaili$b Yuanjun$0720666 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910523760903321 996 $aOptimisation of Robotic Disassembly for Remanufacturing$92594108 997 $aUNINA