000 03867nam a22004575i 4500
001 978-1-4419-9682-4
003 DE-He213
005 20140220083730.0
007 cr nn 008mamaa
008 110503s2011 xxu| s |||| 0|eng d
020 _a9781441996824
_9978-1-4419-9682-4
024 7 _a10.1007/978-1-4419-9682-4
_2doi
050 4 _aHD30.23
072 7 _aKJT
_2bicssc
072 7 _aKJMD
_2bicssc
072 7 _aBUS049000
_2bisacsh
082 0 4 _a658.40301
_223
100 1 _aSchönberger, Jörn.
_eauthor.
245 1 0 _aModel-Based Control of Logistics Processes in Volatile Environments
_h[electronic resource] :
_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 _uhttp://dx.doi.org/10.1007/978-1-4419-9682-4
912 _aZDB-2-SBE
999 _c106101
_d106101