Manufacturing scheduling

The scheduling of manufacturing workshops is both a rich field of research and a daily problem in companies. The aim of this dossier is not to provide an exhaustive range of scheduling methods, but rather to give an overview of current issues linked to the scheduling of manufacturing workshops, and then to show how these issues are tackled in research and in software on the market. Starting with the classic tools of operational research, we'll see in particular how artificial intelligence techniques have made it possible to take into account increasingly numerous and complex constraints in workshop scheduling.

The problem of manufacturing workshop scheduling will first be introduced in paragraph 2 , with emphasis on the essential differences that may exist with the scheduling of batch workshops, the subject of a previous dossier. , ref. [4] . Methods for solving these problems will be discussed in the third paragraph, briefly listing the most classical optimal methods and then highlighting the contributions of more recent techniques (metaheuristics and artificial intelligence methods for simplicity's sake, although this classification is somewhat inaccurate). Finally, we'll take a look at the implementation of resolution methods in a number of typical software packages on the market. Far from claiming to be exhaustive, our ambition is merely to provide a relatively representative overview of a constantly evolving landscape.