000 04795nam a22005175i 4500
001 978-1-4614-2361-4
003 DE-He213
005 20140220083246.0
007 cr nn 008mamaa
008 120105s2012 xxu| s |||| 0|eng d
020 _a9781461423614
_9978-1-4614-2361-4
024 7 _a10.1007/978-1-4614-2361-4
_2doi
050 4 _aQA402-402.37
050 4 _aT57.6-57.97
072 7 _aKJT
_2bicssc
072 7 _aKJM
_2bicssc
072 7 _aBUS049000
_2bisacsh
072 7 _aBUS042000
_2bisacsh
082 0 4 _a519.6
_223
100 1 _aPinedo, Michael L.
_eauthor.
245 1 0 _aScheduling
_h[electronic resource] :
_bTheory, Algorithms, and Systems /
_cby Michael L. Pinedo.
250 _a4th ed. 2012.
264 1 _aBoston, MA :
_bSpringer US,
_c2012.
300 _aXX, 673p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aPreface -- Supplementary Electronic Material -- Introduction -- Deterministic Models: Preliminaries -- Single Machine Models (Deterministic) -- Advanced Single Machine Models (Deterministic) -- Parallel Machine Models (Deterministic) -- Flow Shops and Flexible Flow Shops (Deterministic) -- Job Shops (Deterministic -- Open Shops (Deterministic) -- 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) -- 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 -- References.
520 _a This 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  significant  scheduling problems that occur in the real world.  It  again includes  supplementary  material in the form of  slide-shows from industry and movies that show  implementations  of scheduling systems.    The main structure of the book as per previous edition  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  and streamlined.  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.  Reviews of third edition: This well-established text covers both the theory and practice of scheduling. he book begins with motivating examples and the penultimate chapter Reviews 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)
650 0 _aMathematics.
650 0 _aSystems theory.
650 0 _aDistribution (Probability theory).
650 0 _aIndustrial engineering.
650 1 4 _aMathematics.
650 2 4 _aOperations Research, Management Science.
650 2 4 _aIndustrial and Production Engineering.
650 2 4 _aProbability Theory and Stochastic Processes.
650 2 4 _aSystems Theory, Control.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461419860
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-2361-4
912 _aZDB-2-SMA
999 _c101267
_d101267