000 04155nam a22004815i 4500
001 978-1-4614-6777-9
003 DE-He213
005 20140220082826.0
007 cr nn 008mamaa
008 130518s2013 xxu| s |||| 0|eng d
020 _a9781461467779
_9978-1-4614-6777-9
024 7 _a10.1007/978-1-4614-6777-9
_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 _aSmith, J. MacGregor.
_eeditor.
245 1 0 _aHandbook of Stochastic Models and Analysis of Manufacturing System Operations
_h[electronic resource] /
_cedited by J. MacGregor Smith, Barış Tan.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2013.
300 _aXXVIII, 373 p. 153 illus., 32 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aInternational Series in Operations Research & Management Science,
_x0884-8289 ;
_v192
505 0 _aThe Design of Manufacturing Systems to Cope with Variability -- Modeling Automated Warehouses Using Semi-Open Queueing Networks -- Exact Analysis of Discrete Part Production Lines -- Models of Leveling for Lean Manufacturing Systems -- Value of Advance Demand Information in Production and Inventory Systems with Share Resources -- Production Systems Engineering -- Production Release Control -- Queueing Network Models of Material Handling & Transportation Systems -- Modeling and Analysis of Output Variability in Discrete Material Flow Production Systems -- Stochastic Lot Sizing Problems -- From Operational to Financial Evaluation of Manufacturing Systems.
520 _aThis handbook surveys important stochastic problems and models in manufacturing system operations and their stochastic analysis. Using analytical models to design and control manufacturing systems and their operations entail critical stochastic performance analysis as well as integrated optimization models of these systems. Topics deal with the areas of facilities planning, transportation, and material handling systems, logistics and supply chain management, and integrated productivity and quality models covering: • Stochastic modeling and analysis of manufacturing systems • Design, analysis, and optimization of manufacturing systems • Facilities planning, transportation, and material handling systems analysis • Production planning, scheduling systems, management, and control • Analytical approaches to logistics and supply chain management • Integrated productivity and quality models, and their analysis • Literature surveys of issues relevant in manufacturing systems • Case studies of manufacturing system operations and analysis Today’s manufacturing system operations are becoming increasingly complex. Advanced knowledge of best practices for treating these problems is not always well known. The purpose of the book is to create a foundation for the development of stochastic models and their analysis in manufacturing system operations. Given the handbook nature of the volume, introducing basic principles, concepts, and algorithms for treating these problems and their solutions is the main intent of this handbook. Readers unfamiliar with these research areas will be able to find a research foundation for studying these problems and systems.
650 0 _aEconomics.
650 0 _aOperations research.
650 1 4 _aEconomics/Management Science.
650 2 4 _aOperation Research/Decision Theory.
650 2 4 _aOperations Research, Management Science.
650 2 4 _aProduction/Logistics/Supply Chain Management.
700 1 _aTan, Barış.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461467762
830 0 _aInternational Series in Operations Research & Management Science,
_x0884-8289 ;
_v192
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-6777-9
912 _aZDB-2-SBE
999 _c95752
_d95752