000			04062nam a22005175i 4500
001			978-0-387-33768-5
003			DE-He213
005			20250710083952.0
007			cr nn 008mamaa
008			100301s2006 xxu| s |||| 0|eng d
020			_a9780387337685 _a99780387337685
024	7		_a10.1007/978-0-387-33768-5 _2doi
082	0	4	_a658.1 _223
100	1		_aJózefowska, Joanna. _eeditor.
245	1	0	_aPerspectives in Modern Project Scheduling _h[recurso electrónico] / _cedited by Joanna Józefowska, Jan Weglarz.
264		1	_aBoston, MA : _bSpringer US, _c2006.
300			_aXXII, 444 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aInternational Series in Operations Research & Management Science, _x0884-8289 ; _v92
505	0		_aModels -- A Practical and Accurate Alternative to PERT -- Proactive-Reactive Project Scheduling Trade-Offs and Procedures -- Resource Constrained Project Scheduling Models under Random Disturbances -- Due Dates and RCPSP -- RCPS with Variable Intensity Activities and Feeding Precedence Constraints -- Modelling Setup Times in Project Scheduling -- Algorithms -- Lower Bounds for Resource Constrained Project Scheduling Problem -- Justification Technique Generalizations -- A Metaheuristic Approach to the Resource Constrained Project Scheduling with Variable Activity Durations and Convex Cost Functions -- A Hybrid Genetic Algorithm Based on Intelligent Encoding for Project Scheduling -- Population Learning Algorithm for the Resource-Constrained Project Scheduling -- Resource Constrained Project Scheduling: a Hybrid Neural Approach -- Applications -- Selection and Scheduling of Pharmaceutical Research Projects -- Grid Multicriteria Job Scheduling with Resource Reservation and Prediction Mechanisms -- Resource-Constrained Project Scheduling with Time Windows -- CP-Based Decision Support for Project Driven Manufacturing.
520			_aOperations Research began with the mathematical scheduling of a massive project-logistically supplying Europe with military equipment and goods during the WWII. Today project scheduling research continues growing in a variety of its theoretical models, in its magnitude and application. As the world becomes more interrelated and complex, the wider its research is applied to an increasing number of project scheduling problems. Project Scheduling: Surveying the State-of-the-Art surveys the current state-of-the-art in operations research with chapters written by the respective leading experts on each topic. It covers the range of the key models in the field, including deterministic, probabilistic, single- and multi-mode, single- and multi-objective, and a general model on discrete-continuous resources. Recent solution algorithms are systematical examined. The book summarize sthe current developments and theoretical achievements in the field, including project uncertainty and grid resource management.
650		0	_aECONOMICS.
650		0	_aOPERATIONS RESEARCH.
650		0	_aINDUSTRIAL ENGINEERING.
650		0	_aENGINEERING ECONOMY.
650		0	_aBUSINESS PLANNING.
650	1	4	_aECONOMICS/MANAGEMENT SCIENCE.
650	2	4	_aORGANIZATION/PLANNING.
650	2	4	_aOPERATIONS RESEARCH/DECISION THEORY.
650	2	4	_aENGINEERING ECONOMICS, ORGANIZATION, LOGISTICS, MARKETING.
650	2	4	_aMANAGEMENT.
650	2	4	_aOPERATIONS RESEARCH, MATHEMATICAL PROGRAMMING.
650	2	4	_aINDUSTRIAL AND PRODUCTION ENGINEERING.
700	1		_aWeglarz, Jan. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387336435
830		0	_aInternational Series in Operations Research & Management Science, _x0884-8289 ; _v92
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-387-33768-5 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SBE
942			_2ddc _cER
999			_c57303 _d57303