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008			121026s2013 xxk| s |||| 0|eng d
020			_a9781447145769 _9978-1-4471-4576-9
024	7		_a10.1007/978-1-4471-4576-9 _2doi
050		4	_aTA177.4-185
072		7	_aTBC _2bicssc
072		7	_aKJMV _2bicssc
072		7	_aTEC000000 _2bisacsh
082	0	4	_a658.5 _223
100	1		_aKang, Shu Gang. _eauthor.
245	1	0	_aMulti-Agent Based Beam Search for Real-Time Production Scheduling and Control _h[electronic resource] : _bMethod, Software and Industrial Application / _cby Shu Gang Kang, Shiu Hong Choi.
264		1	_aLondon : _bSpringer London : _bImprint: Springer, _c2013.
300			_aX, 134 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_a1.Introduction -- 2.Literature Review -- 3.Research Methodology -- 4.The Multi-Stage Multi-Level Decision-Making Model -- 5.Knowledge-Directed opportunistic Search -- 6. The Multi-Agent Based Beam Search Method -- 7. Modeling Complex Decision-Making Problems with the MABBS Methods -- 8.The MABBS Engine -- 9.Industrial Application of the MABBS Method -- 10.Summary and Directions for Future Research.
520			_aThe Multi-Agent Based Beam Search (MABBS) method systematically integrates four major requirements of manufacturing production - representation capability, solution quality, computation efficiency, and implementation difficulty - within a unified framework to deal with the many challenges of complex real-world production planning and scheduling problems. Multi-agent Based Beam Search for Real-time Production Scheduling and Control introduces this method, together with its software implementation and industrial applications.  This book connects academic research with industrial practice, and develops a practical solution to production planning and scheduling problems. To simplify implementation, a reusable software platform is developed to build the MABBS method into a generic computation engine.  This engine is integrated with a script language, called the Embedded Extensible Application Script Language (EXASL), to provide a flexible and straightforward approach to representing complex real-world problems. Adopting an in-depth yet engaging and clear approach, and avoiding confusing or complicated mathematics and formulas, this book presents simple heuristics and a user-friendly software platform for system modelling. The supporting industrial case studies provide key information for students, lecturers, and industry practitioners alike. Multi-agent Based Beam Search for Real-time Production Scheduling and Control offers insights into the complex nature of and a practical total solution to production planning and scheduling, and inspires further research and practice in this promising research area.
650		0	_aEngineering.
650		0	_aProduction management.
650		0	_aComputer simulation.
650		0	_aEngineering economics.
650		0	_aEngineering economy.
650	1	4	_aEngineering.
650	2	4	_aEngineering Economics, Organization, Logistics, Marketing.
650	2	4	_aOperations Management.
650	2	4	_aSimulation and Modeling.
700	1		_aChoi, Shiu Hong. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781447145752
856	4	0	_uhttp://dx.doi.org/10.1007/978-1-4471-4576-9
912			_aZDB-2-ENG
942			_2Dewey Decimal Classification _ceBooks
999			_c43612 _d43612