Cover Image
Read Now

Scheduling Theory, Algorithms, and Systems

The sixth edition provides expanded Discussion and Comments and References sections at the end of each chapter, creating a spotlight on practical applications of the theory presented in that chapter. New topics include rules for stochastic parallel machine scheduling and for stochastic online schedu...

Full description

Bibliographic Details
Main Author: Pinedo, Michael L.
Format: eBook
Language:English
Published: Cham Springer International Publishing 2022, 2022
Edition:6th ed. 2022
Subjects:
Operations Research, Management Science
Operations Research
Industrial Engineering
Management Science
Control Theory
Systems Theory, Control
Probability Theory
Industrial And Production Engineering
System Theory
Production Engineering
Probabilities
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Preface
  • 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

Similar Items