Scheduling: Theory, Algorithms, and Systems 4/e
售價
$
1,550
- 一般書籍
- ISBN：9781461419860
- 作者：Michael Pinedo
- 版次：4
- 年份：2012
- 出版商：Springer
- 頁數/規格：精裝
- 參考網頁：Scheduling: Theory, Algorithms, and Systems 4/e
書籍介紹
目錄
作者介紹
Description
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.
- Discussion of the basic properties of scheduling models
- Computational as well as theoretical exercises at the end of each chapter
- Thorough examination of numerous applications
- Investigation of the latest developments in the field
- Discussion of future research developments
- Covers deterministic models as well as stochastic models
- Covers theoretical models as well as practical applications
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.
Table of Contents
1 Introduction
Part I Deterministic Models
2 Deterministic Models: Preliminaries
3 Single Machine Models (Deterministic)
4 Advanced Single Machine Models (Deterministic)
5 Parallel Machine Models (Deterministic)
6 Flow Shops and Flexible Flow Shops (Deterministic)
7 Job Shops (Deterministic)
8 Open Shops (Deterministic)
Part II Stochastic Models
9 Stochastic Models: Preliminaries
10 Single Machine Models (Stochastic)
11 Single Machine Models with Release Dates (Stochastic)
12 Parallel Machine Models (Stochastic)
13 Flow Shops, Job Shops and Open Shops (Stochastic)
Part III Scheduling in Practice
14 General Purpose Procedures for Deterministic Scheduling
15 More Advanced General Purpose Procedures
16 Modeling and Solving Scheduling Problems in Practice
17 Design and Implementation of Scheduling Systems: Basic Concepts
18 Design and Implementation of Scheduling Systems: More Advanced Concepts
19 Examples of System Designs and Implementations
20 What Lies Ahead?
1 Introduction
Part I Deterministic Models
2 Deterministic Models: Preliminaries
3 Single Machine Models (Deterministic)
4 Advanced Single Machine Models (Deterministic)
5 Parallel Machine Models (Deterministic)
6 Flow Shops and Flexible Flow Shops (Deterministic)
7 Job Shops (Deterministic)
8 Open Shops (Deterministic)
Part II Stochastic Models
9 Stochastic Models: Preliminaries
10 Single Machine Models (Stochastic)
11 Single Machine Models with Release Dates (Stochastic)
12 Parallel Machine Models (Stochastic)
13 Flow Shops, Job Shops and Open Shops (Stochastic)
Part III Scheduling in Practice
14 General Purpose Procedures for Deterministic Scheduling
15 More Advanced General Purpose Procedures
16 Modeling and Solving Scheduling Problems in Practice
17 Design and Implementation of Scheduling Systems: Basic Concepts
18 Design and Implementation of Scheduling Systems: More Advanced Concepts
19 Examples of System Designs and Implementations
20 What Lies Ahead?
Michael L. Pinedo is the Julius Schlesinger Professor of Operations Managemein the Stern School of Business at New York University.
