000			04084nam a2200385 i 4500
007			cr mnu
008			110526s2010 enk b a001 0 eng d
020			_a9781849965552
020			_a9781846281143 _qe-ISBN
040			_aBAUN _beng _cBAUN _erda
049			_aBAUN_MERKEZ
050	0	0	_aTS178.4 _b.R455 2010
100	1		_aRekiek, Brahim.
245	1	0	_aAssembly line design : _bthe balancing of mixed-model hybrid assembly lines with genetic algorithms / _cBrahim Rekiek, Alain Delchambre.
264		1	_aLondon : _bSpringer, _c2010.
300			_axviii, 160 pages : _billustrations ; _c24 cm.
336			_2rdacontent _atext _btxt
337			_2rdamedia _aunmediated _bn
338			_2rdacarrier _avolume _bnc
490	1		_aSpringer series in advanced manufacturing.
504			_aIncludes bibliographical references and index.
505	0	0	_t-- Assembly Line Design Problems _t-- Designing Assembly Lines _t-- Design Approaches _t-- Assembly Line: History and Formulation _t-- Evolutionary Combinatorial Optimisation _t-- Evolutionary Combinatorial Optimisation _t-- Multiple Objective Grouping Genetic Algorithm _t-- Assembly Line Layout _t-- Equal Piles for Assembly Line Balancing _t-- The Resource Planning for Assembly Line _t-- Balance for Operation _t-- The Integrated Method _t-- Evolving to Integrate Logical and Physical Layout of Assembly Lines _t-- Concurrent Approach to Design Assembly Lines _t-- A Real-world Example Optimised by the OptiLine Software _t-- Conclusions and Future Work.
520			_aEfficient assembly line design is a problem of considerable industrial importance. Unfortunately, like many other design processes, it can be time-consuming and repetitive. In addition to this, assembly line design is often complex owing to the number of multiple components involved: line efficiency, cost, reliability and space for example. The main objective is to integrate the design with operations issues, thereby minimising its costs. Since it is impossible to replace a designer’s intelligence, experience and creativity, it is important to provide him with a set of assistance tools in order to meet the conflicting objectives involved. Assembly Line Design presents three techniques based on the Grouping Genetic Algorithm (a powerful and broadly applicable optimisation and stochastic search technique) which can be used to aid efficient assembly line design: • ‘equal piles for assembly lines’, a new algorithm introduced to deal with assembly line balancing (balancing stations’ loads); • a new method based on a multiple objective grouping genetic algorithm (MO-GGA) aiming to deal with resource planning (selection of equipment to carry out assembly tasks); ‘• balance for operation’ (BFO), introduced to deal with the changes during the operation phase of assembly lines. Assembly Line Design will be of interest to technical personnel working in design, planning and production departments in industry as well as managers in industry who want to learn more about concurrent engineering. This book will also be of value to researchers and postgraduate students in mechanical, manufacturing or micro-engineering. The Springer Series in Advanced Manufacturing publishes the best teaching and reference material to support students, educators and practitioners in manufacturing technology and management. This international series includes advanced textbooks, research monographs, edited works and conference proceedings covering all subjects in advanced manufacturing. The series focuses on new topics of interest, new treatments of more traditional areas and coverage of the applications of information and communication technology (ICT) in manufacturing.
650		0	_aEngineering.
650		0	_aComputer aided design.
650		0	_aAlgorithms.
650		0	_aEngineering design.
650		0	_aIndustrial engineering.
650		0	_aMachinery.
650		0	_aStructural control (Engineering).
700	1		_aDelchambre, Alain.
830		0	_9108430 _aSpringer series in advanced manufacturing.
900			_a30811
942			_2lcc _cKT
999			_c27609 _d27609