000			03080nam a22005175i 4500
001			978-0-387-27615-1
003			DE-He213
005			20250710083939.0
007			cr nn 008mamaa
008			100301s2005 xxu| s |||| 0|eng d
020			_a9780387276151 _a99780387276151
024	7		_a10.1007/0-387-27615-7 _2doi
082	0	4	_a519 _223
100	1		_aSethi, Suresh P. _eauthor.
245	1	0	_aAverage-Cost Control of Stochastic Manufacturing Systems _h[recurso electrónico] / _cby Suresh P. Sethi, Hanqin Zhang, Qing Zhang.
264		1	_aNew York, NY : _bSpringer New York, _c2005.
300			_aXV, 324 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aStochastic Modelling and Applied Probability, _x0172-4568 ; _v54
505	0		_aand Models of Manufacturing Systems -- Concept of Near-Optimal Control -- Models of Manufacturing Systems -- Optimal Control of Manufacturing Systems: Existence and Characterization -- Optimal Control of Parallel-Machine Systems -- Optimal Control of Dynamic Flowshops -- Optimal Controls of Dynamic Jobshops -- Risk-Sensitive Control -- Near-Optimal Controls -- Near-Optimal Control of Parallel-Machine Systems -- Near-Optimal Control of Dynamic Flowshops -- Near-Optimal Controls of Dynamic Jobshops -- Near-Optimal Risk-Sensitive Control -- Conclusions -- Further Extensions and Open Research Problems.
520			_aThis book is concerned with hierarchical control of manufacturing systems under uncertainty. It focuses on system performance measured in long-run average cost criteria, exploring the relationship between control problems with a discounted cost and that with a long-run average cost in connection with hierarchical control. A new theory is articulated that shows that hierarchical decision making in the context of a goal-seeking manufacturing system can lead to a near optimization of its objective. The approach in the book considers manufacturing systems in which events occur at different time scales.
650		0	_aMATHEMATICS.
650		0	_aSYSTEMS THEORY.
650		0	_aDISTRIBUTION (PROBABILITY THEORY).
650		0	_aMECHANICAL ENGINEERING.
650		0	_aINDUSTRIAL ENGINEERING.
650	1	4	_aMATHEMATICS.
650	2	4	_aSYSTEMS THEORY, CONTROL.
650	2	4	_aPROBABILITY THEORY AND STOCHASTIC PROCESSES.
650	2	4	_aOPERATIONS RESEARCH/DECISION THEORY.
650	2	4	_aINDUSTRIAL AND PRODUCTION ENGINEERING.
650	2	4	_aMECHANICAL ENGINEERING.
700	1		_aZhang, Hanqin. _eauthor.
700	1		_aZhang, Qing. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387219479
830		0	_aStochastic Modelling and Applied Probability, _x0172-4568 ; _v54
856	4	0	_uhttp://dx.doi.org/10.1007/0-387-27615-7 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SMA
942			_2ddc _cER
999			_c56714 _d56714