LEADER 03779nam 22006615 450 001 9910299841103321 005 20200630113519.0 010 $a3-319-18738-4 024 7 $a10.1007/978-3-319-18738-9 035 $a(CKB)3710000000434149 035 $a(EBL)2094857 035 $a(SSID)ssj0001524843 035 $a(PQKBManifestationID)11979177 035 $a(PQKBTitleCode)TC0001524843 035 $a(PQKBWorkID)11485035 035 $a(PQKB)10684207 035 $a(DE-He213)978-3-319-18738-9 035 $a(MiAaPQ)EBC2094857 035 $a(PPN)186396236 035 $a(EXLCZ)993710000000434149 100 $a20150613d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aData-Driven Optimization and Knowledge Discovery for an Enterprise Information System$b[electronic resource] /$fby Qing Duan, Krishnendu Chakrabarty, Jun Zeng 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (165 p.) 300 $aDescription based upon print version of record. 311 $a3-319-18737-6 320 $aIncludes bibliographical references. 327 $aIntroduction -- Production Simulation Platform -- Production Workflow Optimizations -- Predictions of Process-Execution Time and Process-Execution Status -- Optimization of Order-Admission Policies -- Conclusion. 330 $aThis book provides a comprehensive set of optimization and prediction techniques for an enterprise information system. Readers with a background in operations research, system engineering, statistics, or data analytics can use this book as a reference to derive insight from data and use this knowledge as guidance for production management. The authors identify the key challenges in enterprise information management and present results that have emerged from leading-edge research in this domain. Coverage includes topics ranging from task scheduling and resource allocation, to workflow optimization, process time and status prediction, order admission policies optimization, and enterprise service-level performance analysis and prediction. With its emphasis on the above topics, this book provides an in-depth look at enterprise information management solutions that are needed for greater automation and reconfigurability-based fault tolerance, as well as to obtain data-driven recommendations for effective decision-making. 606 $aElectrical engineering 606 $aElectronic circuits 606 $aInformation storage and retrieval 606 $aCommunications Engineering, Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24035 606 $aCircuits and Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/T24068 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 615 0$aElectrical engineering. 615 0$aElectronic circuits. 615 0$aInformation storage and retrieval. 615 14$aCommunications Engineering, Networks. 615 24$aCircuits and Systems. 615 24$aInformation Storage and Retrieval. 676 $a025.04 676 $a620 676 $a621.3815 676 $a621.382 700 $aDuan$b Qing$4aut$4http://id.loc.gov/vocabulary/relators/aut$0720741 702 $aChakrabarty$b Krishnendu$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aZeng$b Jun$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910299841103321 996 $aData-Driven Optimization and Knowledge Discovery for an Enterprise Information System$92521965 997 $aUNINA