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008			210817s2022 sz | s |||| 0|eng d
020			_a9783030817992
024	7		_a10.1007/978-3-030-81799-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTS191.8 _b2022 EB
100	1		_aLaili, Yuanjun _9685921
245	1	0	_a Optimisation of Robotic Disassembly for Remanufacturing _cby Yuanjun Laili, Yongjing Wang, Yilin Fang, Duc Truong Pham
250			_a1st edition 2022
264		1	_aCham _bSpringer International Publishing, _c2022
300			_a1 recurso en línea (XX, 183 páginas) _b83 ilustraciones, 45 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_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.
988			_aSpringer_Engineering_2022
650		7	_2embne _9145101 _aRobots industriales
776	0	8	_iPrinted edition: _z9783030817985
776	0	8	_iPrinted edition: _z9783030818005
776	0	8	_iPrinted edition: _z9783030818012
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-81799-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2023 _dz _eh _zSI