Bøger i Production and Logistics serien

Despite his scarce time capacities, he never rejected proof-reading draft versions of working papers, and he was always willing to discuss new ideas - the good as weH as the bad ones.

Production scheduling dictates highly constrained mathematical models with complex and often contradicting objectives. This book discusses the suitability of genetic algorithms for production scheduling and presents an approach which produces results comparable with those of more tailored optimization techniques.

Aims to acquaint the reader especially with the cases of local-search-based learning, as well as to introduce methods of constraint-based reasoning, both with respect to their use in automated manufacturing. Some design and planning issues in flexible manufacturing systems are also considered.

Introduces the field of resource-constrained project scheduling. State-of-the-art reviews of optimal and heuristic procedures are provided for classical project scheduling models. Furthermore, new models which are relevant for practical problem settings are introduced.