LEADER 05615nam 22007455 450 001 9910254081603321 005 20200702052425.0 010 $a3-319-26580-6 024 7 $a10.1007/978-3-319-26580-3 035 $a(CKB)3710000000602298 035 $a(SSID)ssj0001660701 035 $a(PQKBManifestationID)16442095 035 $a(PQKBTitleCode)TC0001660701 035 $a(PQKBWorkID)14987417 035 $a(PQKB)10634498 035 $a(DE-He213)978-3-319-26580-3 035 $a(MiAaPQ)EBC6314228 035 $a(MiAaPQ)EBC5578608 035 $a(Au-PeEL)EBL5578608 035 $a(OCoLC)939903858 035 $a(PPN)192219197 035 $a(EXLCZ)993710000000602298 100 $a20160210d2016 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aScheduling $eTheory, Algorithms, and Systems /$fby Michael L. Pinedo 205 $a5th ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (XX, 670 p. 124 illus., 21 illus. in color.) 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-319-26578-4 327 $aPreface -- Supplementary Electronic Material -- Introduction -- Part I: Deterministic Models -- Deterministic Models: Preliminaries -- Single Machine Models (Deterministic) -- Advanced Single Machine Models (Deterministic) -- Parallel Machines Models (Deterministic) -- Flow Shops and Flexible Flow Shops (Deterministic) -- Job Shops (Deterministic) -- Open Shops (Deterministic) -- Part II Stochastic Models -- Stochastic Models: Preliminaries -- Single Machine Models (Stochastic) -- Single Machine Models with Release Dates (Stochastic) -- Parallel Machine Models (Stochastic) -- Flow Shops, Job Shops and Open Shops (Stochastic) -- Part III Scheduling in Practice -- General Purpose Procedures for Deterministic Scheduling -- More Advanced General Purpose Procedures -- Modeling and Solving Scheduling Problems in Practice -- Design and Implementation of Scheduling Systems: Basic Concepts -- Design and Implementation of Scheduling Systems: More Advanced Concepts -- Examples of System Designs and Implementations -- What Lies Ahead? -- Appendices. 330 $aThis new edition of the well-established text Scheduling: Theory, Algorithms, and Systems provides an up-to-date coverage of important theoretical models in the scheduling literature as well as important scheduling problems that appear in the real world. The accompanying website includes supplementary material in the form of slide-shows from industry as well as movies that show actual implementations of scheduling systems. The main structure of the book, as per previous editions, consists of three parts. The first part focuses on deterministic scheduling and the related combinatorial problems. The second part covers probabilistic scheduling models; in this part it is assumed that processing times and other problem data are random and not known in advance. The third part deals with scheduling in practice; it covers heuristics that are popular with practitioners and discusses system design and implementation issues. All three parts of this new edition have been revamped, streamlined, and extended. The references have been made completely up-to-date. Theoreticians and practitioners alike will find this book of interest. Graduate students in operations management, operations research, industrial engineering, and computer science will find the book an accessible and invaluable resource. Scheduling: Theory, Algorithms, and Systems will serve as an essential reference for professionals working on scheduling problems in manufacturing, services, and other environments. Michael L. Pinedo is the Julius Schlesinger Professor of Operations Management in the Stern School of Business at New York University. Review of third edition: "This well-established text covers both the theory and practice of scheduling. The book begins with motivating examples and the penultimate chapter discusses some commercial scheduling systems and examples of their implementations." (Mathematical Reviews, 2009). 606 $aOperations research 606 $aManagement science 606 $aIndustrial engineering 606 $aProduction engineering 606 $aProbabilities 606 $aSystem theory 606 $aOperations Research, Management Science$3https://scigraph.springernature.com/ontologies/product-market-codes/M26024 606 $aIndustrial and Production Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T22008 606 $aProbability Theory and Stochastic Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/M27004 606 $aSystems Theory, Control$3https://scigraph.springernature.com/ontologies/product-market-codes/M13070 615 0$aOperations research. 615 0$aManagement science. 615 0$aIndustrial engineering. 615 0$aProduction engineering. 615 0$aProbabilities. 615 0$aSystem theory. 615 14$aOperations Research, Management Science. 615 24$aIndustrial and Production Engineering. 615 24$aProbability Theory and Stochastic Processes. 615 24$aSystems Theory, Control. 676 $a658.53 700 $aPinedo$b Michael L$4aut$4http://id.loc.gov/vocabulary/relators/aut$056942 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254081603321 996 $aScheduling$9923661 997 $aUNINA