Name
Abstract | ||
|---|---|---|
The availability of alternative process plans is a key factor for integration of design, process planning, and scheduling functions. The availability of alternative process plans can speed up the process of incremental process plan generation which can help in providing real time cost feed back to the designer after each design modification. Also alternative process plans relax the constraints in the optimization of production schedules, which in turn results in more efficient use of production resources and better delivery schedules. This paper describes a methodology for generation of alternative process plans in the integrated manufacturing environment. The procedure consists of: selection of alternative machining processes, clustering and sequencing of machining processes, and generation of a process plan network. Each of these steps is explained in detail. The result of the procedure is the process plan network that provides all alternative process plans for the given part. Methods for the selection of an optimal process plan are also described. Computational complexity of the procedure is discussed and experimental results on several realistic examples are shown. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1023/A:1027302604072 | J. Intelligent Manufacturing |
Keywords | Field | DocType |
Process planning,CAPP,integrated manufacturing,optimization | Scheduling (computing),Alternative process,Manufacturing engineering,Scheduling (production processes),Machining,Schedule,Engineering,Cluster analysis,Speedup,Computational complexity theory | Journal |
Volume | Issue | ISSN |
14 | 6 | 1572-8145 |
Citations | PageRank | References |
20 | 1.98 | 2 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dusan N. Sormaz | 1 | 35 | 5.07 |
| Behrokh Khoshnevis | 2 | 125 | 14.25 |