Assembly sequence planning using case-based reasoning techniques

摘要

Future computer aided design (CAD) systems will be not only smart, but also efficient in terms of solution strategies as well as time costs. This paper presents a problem-solving paradigm, namely case-based reasoning (CBR), and shows how it solves some constraint-oriented design problems efficiently. CBR solves a new problem by retrieving from its case library a solution which has solved a similar problem in the past and then adapting the solution to the new problem. The efficiency of such a system relies on the completeness and compactness (small size) of such a case library. These two characteristics of a case library in turn rely on an indexing scheme for the set of cases in the library. How these issues can be solved and how a case-based reasoning system can be designed for such problems is illustrated here, and the authors' theory is presented as it is applied to the area of assembly sequence planning.