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Resource-constrained project scheduling models, algorithms, extensions and applications /

This title presents a large variety of models and algorithms dedicated to the resource-constrained project scheduling problem (RCPSP), which aims at scheduling at minimal duration a set of activities subject to precedence constraints and limited resource availabilities. In the first part, the standa...

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Bibliographic Details
Group Author: Artigues, Christian; Demassey, Sophie; Neron, Emmanuel
Published:
Literature type: Electronic eBook
Language: English
Series: Control systems, robotics and manufacturing series
Subjects:
Production scheduling
TECHNOLOGY & ENGINEERING > Industrial Technology
TECHNOLOGY & ENGINEERING > Industrial Engineering
BUSINESS & ECONOMICS > Production & Operations Management
Electronic books
Online Access: http://onlinelibrary.wiley.com/book/10.1002/9780470611227
Summary: This title presents a large variety of models and algorithms dedicated to the resource-constrained project scheduling problem (RCPSP), which aims at scheduling at minimal duration a set of activities subject to precedence constraints and limited resource availabilities. In the first part, the standard variant of RCPSP is presented and analyzed as a combinatorial optimization problem. Constraint programming and integer linear programming formulations are given. Relaxations based on these formulations and also on related scheduling problems are presented. Exact methods and heuristics are surve
Carrier Form: 1 online resource (308 pages) : illustrations.
Bibliography: Includes bibliographical references (pages 279-301) and index.
ISBN: 9780470393840 (electronic bk.)
047039384X (electronic bk.)
9780470611227
0470611227
1848210345
9781848210349
Index Number: TS157
CLC: F406.2
Contents: Resource-Constrained Project Scheduling; Table of Contents; Preface; Part 1. Models and Algorithms for the Standard Resource-Constrained Project Scheduling Problem; Chapter 1. The Resource-Constrained Project Scheduling Problem; Chapter 2. Resource and Precedence Constraint Relaxation; Chapter 3. Mathematical Programming Formulations and Lower Bounds; Chapter 4. Constraint Programming Formulations and Propagation Algorithms; Chapter 5. Branching Schemes for Branch-and-Bound; Chapter 6. Heuristics; Chapter 7. Benchmark Instance Indicators and Computational Comparison of Methods; Part 2. Varia

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