000			03821nam a22004335i 4500
001			u372277
003			SIRSI
005			20160812084050.0
007			cr nn 008mamaa
008			110503s2011 xxu| s |||| 0|eng d
020			_a9781441996824 _9978-1-4419-9682-4
040			_cMX-MeUAM
050		4	_aHD30.23
082	0	4	_a658.40301 _223
100	1		_aSchönberger, Jörn. _eauthor.
245	1	0	_aModel-Based Control of Logistics Processes in Volatile Environments _h[recurso electrónico] : _bDecision Support for Operations Planning in Supply Consortia / _cby Jörn Schönberger.
264		1	_aNew York, NY : _bSpringer New York, _c2011.
300			_aXII, 184 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aOperations Research/Computer Science Interfaces Series, _x1387-666X ; _v50
505	0		_aProcess Planning in Supply Consortia -- Transport Processes and Uncertainty -- Decision Support: Applying the State-of-the-Art -- Decision Support in Principal-Agent-Relationships -- Adaptive Controllers for Mathematical Optimization Models -- Responsiveness Improvement -- Nervousness Reduction in Re-Scheduling -- Impacts on Robustness -- Summary and Conclusions.
520			_aThis monograph presents results originating from a research project investigating autonomous adaptation of vehicle schedules and systematically develops and evaluates innovative ideas for the management of transportation processes in volatile scenarios. Showing the progress made in the development of the methodological toolbox for decision support in dynamic process management is the major motivation behind this book.  The result is a new integrated approach to dynamic decision making. Existing process planning approaches for volatile environments and their application boundaries are investigated in Part I. Part II introduces the concept of feedback-controlled adaptive decision models and proposes the required extensions of the online decision making framework and of multi-agent systems. A comprehensive evaluation of the proposed decision model adaptation framework based on computational simulation experiments is reported in Part III and demonstrates the predominance of the new approach. Distinguishing features of this book are: -It provides the first contribution to the operational management of processes in supply networks that explicitly addresses the two challenges of dynamics and distributed decision making simultaneously. -It systematically approaches the limits of model-based process planning but also proposes methods to extend the application boundaries. -Software prototypes are developed and a comprehensive evaluation within numerical simulation experiments is executed. -The observed results are discussed with an explicit focus on specific performance indicators (flexibility, stability and robustness). -The strict interdisciplinary approach merging the requirements and needs of management sciences, operations research and computer sciences is pursued throughout the book.
650		0	_aEconomics.
650	1	4	_aEconomics/Management Science.
650	2	4	_aOperations Research/Decision Theory.
650	2	4	_aOperations Research, Management Science.
650	2	4	_aProduction/Logistics/Supply Chain Management.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781441996817
830		0	_aOperations Research/Computer Science Interfaces Series, _x1387-666X ; _v50
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-1-4419-9682-4
596			_a19
942			_cLIBRO_ELEC
999			_c200157 _d200157