Name
Title | ||
|---|---|---|
Process sequencing and process clustering in process planning using state space search |
Abstract | ||
|---|---|---|
Process sequencing, as a very important part of process planning, has been the subject of many research reports in the area of process planning, but is usually treated as a feature-sequencing problem. This paper presents a novel algorithm for process sequencing, which considers the feature precedence network, different process candidates, and machine and tool constraints. The algorithm consists of two parts: process clustering and process sequencing. For clustering we used a notion of the same resource usage for different features, while for sequencing we applied the best-first search method algorithm to generate an optimal process sequence. The algorithm has been applied on several examples with realistic complexities, and it showed satisfactory results. |
Year | DOI | Venue |
|---|---|---|
1996 | 10.1007/BF00118079 | J. Intelligent Manufacturing |
Keywords | Field | DocType |
Process planning,process sequencing,state space search | Work in process,State space search,Artificial intelligence,Engineering,Cluster analysis,Machine learning | Journal |
Volume | Issue | ISSN |
7 | 3 | 0956-5515 |
Citations | PageRank | References |
3 | 1.61 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dusan N. Sormaz | 1 | 35 | 5.07 |
| Behrokh Khoshnevis | 2 | 125 | 14.25 |