Synopses & Reviews
The book presents a new paradigm for modeling and solving production planning and scheduling problems in industry. Methodologically, this paradigm forms the basis for developing a sound scientific theory based on optimal control and the maximum principle. The book progresses from initial assumptions about a manufacturing environment, through mathematical models and construction of numerical methods, up to practical solutions. The case studies prove the relevance and efficiency of the theory to the real world. Software based on the developed methods is included. This is the only book which traces strong theoretical results of the scheduling theory into real case studies of large leading manufacturing systems. Audience: Primarily students in Industrial Engineering and Management Science but also Electrical/Mechanical Engineering students interested in control. It is also a useful reference.
Review
`Overall, the book provides an excellent, up-to-date overview of continous-time, deterministic models for production planning and scheduling. It is a book that your university library should certainly have, and which is well worth owning if you are interested in research or applications in this area.' Automatica, Vol.37 (2001)
Review
`Overall, the book provides an excellent, up-to-date overview of continous-time, deterministic models for production planning and scheduling. It is a book that your university library should certainly have, and which is well worth owning if you are interested in research or applications in this area.'
Automatica, Vol.37 (2001)
Table of Contents
Part I: Basic Concepts. 1. Introduction.
2. Mathematical Fundamentals of Optimal Control.
Part II: Flow Control in Production Planning. 3. One-Item Single-Facility Aggregate Production Planning Problems.
4. Production Planning at Different Levels of Aggregation.
Part III: Flow Control in Scheduling. 5. Modeling Production Systems with Multi-Level Bills of Materials.
6. Necessary Optimality Conditions for Scheduling Problems.
7. Solution Methods.
Part IV: Scheduling Implementation. 8. Implementation Methodology.
9. Cases of Practical Scheduling. Index.