Planning for Manufacturing Workpieces by Storing, Indexing and Replaying Planning Decisions

Planning for manufacturing workpieces is a complex task that requires the interaction of a domain-specific reasoner and a generic planning mechanism. In this paper we present an architecture for organizing the case base that is based on the information provided by a generic problem solver. A retrieval procedure is then presented that uses the information provided by the domain-specific reasoner in order to improve the accu-racy of the cases retrieved. However, it is not realistic to suppose that the case retrieved will entirely fit into the new problem. We present a replay procedure to obtain a partial solution that replays not only the valid decisions taken for solving the case, but also justifica-tions of rejected decisions made during the problem solving process. As a result, those completion alter-natives of the partial solution are discarded that are already known to be invalid from the case