LEADER 04624nam 2200673 a 450 001 9910438254003321 005 20200520144314.0 010 $a1-4614-6777-2 024 7 $a10.1007/978-1-4614-6777-9 035 $a(CKB)2670000000530302 035 $a(EBL)1317000 035 $a(OCoLC)854975587 035 $a(SSID)ssj0000894563 035 $a(PQKBManifestationID)11480267 035 $a(PQKBTitleCode)TC0000894563 035 $a(PQKBWorkID)10839480 035 $a(PQKB)11190953 035 $a(DE-He213)978-1-4614-6777-9 035 $a(MiAaPQ)EBC1317000 035 $a(PPN)170487881 035 $a(EXLCZ)992670000000530302 100 $a20130605d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aHandbook of stochastic models and analysis of manufacturing system operations /$fJ. MacGregor Smith, Bars Tan, editors 205 $a1st ed. 2013. 210 $aNew York $cSpringer$d2013 215 $a1 online resource (396 p.) 225 1 $aInternational series in operations research & management science,$x0884-8289 ;$vv. 192 300 $aDescription based upon print version of record. 311 $a1-4614-6776-4 311 $a1-4939-0033-1 320 $aIncludes bibliographical references and index. 327 $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. 330 $aThis handbook surveys important stochastic problems and models in manufacturing system operations and their stochastic analysis. Using analytical models to design and control manufacturing systems and their operations entail critical stochastic performance analysis as well as integrated optimization models of these systems. Topics deal with the areas of facilities planning, transportation, and material handling systems, logistics and supply chain management, and integrated productivity and quality models covering: ? Stochastic modeling and analysis of manufacturing systems ? Design, analysis, and optimization of manufacturing systems ? Facilities planning, transportation, and material handling systems analysis ? Production planning, scheduling systems, management, and control ? Analytical approaches to logistics and supply chain management ? Integrated productivity and quality models, and their analysis ? Literature surveys of issues relevant in manufacturing systems ? Case studies of manufacturing system operations and analysis Today?s manufacturing system operations are becoming increasingly complex. Advanced knowledge of best practices for treating these problems is not always well known. The purpose of the book is to create a foundation for the development of stochastic models and their analysis in manufacturing system operations. Given the handbook nature of the volume, introducing basic principles, concepts, and algorithms for treating these problems and their solutions is the main intent of this handbook. Readers unfamiliar with these research areas will be able to find a research foundation for studying these problems and systems. 410 0$aInternational series in operations research & management science ;$vv. 192. 606 $aProduction management$xMathematical models 606 $aProduction control$xMathematical models 606 $aManufacturing processes$xMathematical models 606 $aStochastic analysis 606 $aStochastic processes 615 0$aProduction management$xMathematical models. 615 0$aProduction control$xMathematical models. 615 0$aManufacturing processes$xMathematical models. 615 0$aStochastic analysis. 615 0$aStochastic processes. 676 $a670 701 $aSmith$b J. MacGregor$0767831 701 $aTan$b Bars$01751993 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910438254003321 996 $aHandbook of stochastic models and analysis of manufacturing system operations$94187162 997 $aUNINA