A Rule-Based System to Schedule Production
Computer - Special issue on expert systems in engineering
Viewing scheduling as an opportunistic problem-solving process
Annals of Operations Research
A task and resource scheduling system for automated planning
Annals of Operations Research
Computer-Aided Production Management
A machine learning approach to flexible manufacturing system scheduling
A machine learning approach to flexible manufacturing system scheduling
An object language versus an expert system shell: the school time-table example
ACM SIGPLAN OOPS Messenger
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Included in this book is a review of research and applications as well as a presentation of new results. There is a mix of papers from industry, research laboratories and academia which gives a realistic perspective on the prospoects for AI technology in PMS applications. The majority of papers are concerned with the use of knowledge-based techniques to solve various scheduling problems. The introductory section includes two overview papers, each presenting the views and expectations of researchers in major industrial companies who have some experience of using AI technology to solve production management problems. There follows a series of technical papers which have been grouped into five categories: model based and simulation approaches; AI and scheduling; AI and production planning; the GRAI method; AI applications and FMS.