TY  - BOOK
AU  - 
ED  - SpringerLink (Online service)
TI  - Scheduling: Theory, Algorithms, and Systems 
SN  - 9780387789354
AV  - QA402-402.37 
U1  - 519.6 23
PY  - 2008///
CY  - New York, NY
PB  - Springer New York
KW  - Mathematics
KW  - Systems theory
KW  - Operations research
KW  - Distribution (Probability theory)
KW  - Industrial engineering
KW  - Operations Research, Mathematical Programming
KW  - Industrial and Production Engineering
KW  - Probability Theory and Stochastic Processes
KW  - Systems Theory, Control
N1  - Deterministic Models -- 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 -- 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) -- 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?; ZDB-2-SMA
N2  - This book on scheduling covers theoretical models as well as scheduling problems in the real world. The book consists of three parts. The first part focuses on deterministic scheduling with the associated combinatorial problems. The second part covers probabilistic scheduling models. In this part it is assumed that processing times and other problem data are 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 development issues. Each chapter contains a series of computational and theoretical exercises. This book is of interest to theoreticians and practitioners alike. Graduate students in operations management, operations research, industrial engineering and computer science will find the book to be an accessible and invaluable resource. Scheduling will serve as an essential reference for professionals working on scheduling problems in manufacturing and computing environments. Michael Pinedo is the Julius Schlesinger Professor of Operations Management at New York University
UR  - http://dx.doi.org/10.1007/978-0-387-78935-4
ER  -