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008			210817s2022 sz | s |||| 0|eng d
020			_a9783030817992
024	7		_a10.1007/978-3-030-81799-2 _2doi
040			_aTR-AnTOB _beng _erda _cTR-AnTOB
041			_aeng
050			_aTS191.8
072		7	_aTGP _2bicssc
072		7	_aTEC020000 _2bisacsh
072		7	_aTGP _2thema
090			_aTS191.8EBK
100	1		_aLaili, Yuanjun. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aOptimisation of Robotic Disassembly for Remanufacturing _h[electronic resource] / _cby Yuanjun Laili, Yongjing Wang, Yilin Fang, Duc Truong Pham.
250			_a1st ed. 2022.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2022.
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aSpringer Series in Advanced Manufacturing, _x2196-1735
505	0		_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.
520			_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 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.
650		0	_aManufactures. _933647
650		0	_aRobotics. _91248
650		0	_aIndustrial engineering. _91495
650		0	_aProduction engineering. _93058
650	1	4	_aMachines, Tools, Processes.
650	2	4	_aRobotic Engineering.
650	2	4	_aIndustrial and Production Engineering.
653		0	_aRemanufacturing
653		0	_aRobots, Industrial.
700	1		_aWang, Yongjing. _eauthor. _0(orcid)0000-0002-9640-0871 _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aFang, Yilin. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aPham, Duc Truong. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
710	2		_aSpringerLink (Online service) _959873
830		0	_aSpringer Series in Advanced Manufacturing, _x2196-1735
856	4	0	_uhttps://doi.org/10.1007/978-3-030-81799-2 _3Springer eBooks _zOnline access link to the resource
942			_2lcc _cEBK
999			_c200456857 _d75069