000 04122nam a2200373 i 4500
001 45313
008 160210s2016 gw | |||| 0|eng d
020 _a9783319265803
_q(e-book)
020 _a9783319265780
_q(hardcover)
035 _a(WaSeSS)ssj0001660701
040 _dWaSeSS
_dBAUN
_aBAUN
_beng
_cBAUN
_erda
049 _aBAUN_MERKEZ
050 4 _aTS157.5
_b.P56 2016
082 0 4 _223
100 1 _aPinedo, Michael L.
245 1 0 _aScheduling :
_bTheory, Algorithms, and Systems /
_cby Michael L. Pinedo.
250 _a5th ed. 2016.
264 1 _aCham :
_bSpringer International Publishing :
_c2016.
264 1 _bImprint: Springer,
_c2016.
300 _axx, 670 pages :
_billustrations (some color) ;
_c24 cm.
336 _atext
_btxt
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _avolume
_bnr
_2rdacarrier
505 0 0 _tPreface
_t-- Supplementary Electronic Material
_t-- Introduction
_t-- Part I: Deterministic Models
_t-- Deterministic Models: Preliminaries
_t-- Single Machine Models (Deterministic)
_t-- Advanced Single Machine Models (Deterministic)
_t-- Parallel Machines Models (Deterministic)
_t-- Flow Shops and Flexible Flow Shops (Deterministic)
_t-- Job Shops (Deterministic)
_t-- Open Shops (Deterministic)
_t-- Part II Stochastic Models
_t-- Stochastic Models: Preliminaries
_t-- Single Machine Models (Stochastic)
_t-- Single Machine Models with Release Dates (Stochastic)
_t-- Parallel Machine Models (Stochastic)
_t-- Flow Shops, Job Shops and Open Shops (Stochastic)
_t-- Part III Scheduling in Practice
_t-- General Purpose Procedures for Deterministic Scheduling
_t-- More Advanced General Purpose Procedures
_t-- Modeling and Solving Scheduling Problems in Practice
_t-- Design and Implementation of Scheduling Systems: Basic Concepts
_t-- Design and Implementation of Scheduling Systems: More Advanced Concepts
_t-- Examples of System Designs and Implementations
_t-- What Lies Ahead?
_t-- Appendices.
520 _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).
650 0 _aMathematics.
650 0 _aSystem theory.
650 0 _aOperations research.
650 0 _aManagement science.
650 0 _aProbabilities.
650 0 _aIndustrial engineering.
650 0 _aProduction engineering.
942 _2lcc
_cKT
999 _c45816
_d45816