| Summary: | 碩士 === 大葉工學院 === 工業工程研究所 === 85 === The purpose of this research is to evaluate and select assembly
sequences using Artificial Intelligence techniques. The choice
of the sequence in which parts of subassemblies are put together
in the mechanical assembly of a product can drastically affect
the efficiency of the assembly process. First, the matrix
representations of assembly products as well as the tree
representations of assembly sequences are proposed. Then, five
evaluation criteria such as directionality, fixture complexity,
accessibility, direction change and tool change are presented
along with a systematic classification. In addition, Analytical
Hierarchy Process is applied to weigh the heuristic functions of
the evaluation criteria. A* Search of AI Search Strategies is
presented for deriving solution procedures for assembly
sequences planning. Finally, assembly examples are adopted for
illustrating and validating the performance of AI models for the
evaluation and selection of assembly sequences.
|
|---|
