Name
Abstract | ||
|---|---|---|
Any flexible manufacturing system (FMS) may face fault which may disrupt the production and cause delays. Thus, the identification of the source of failure is very important to intervene rapidly. This paper aims to develop an indirect and incremental diagnostic approach to identify the root cause of the observed delay in the context of a single fault occurrence. In this study the observation is done only at the output of the system to measure the output dates of each part and to detect the eventual delay. For this purpose, a mathematical model is developed to model the proposed diagnostic approach of FMS under cyclic scheduling. This cyclic approach provides intermediary reference points to detect any discrepancy with regard the predictive scheduling. These intermediary reference points correspond to the end of each cycle defined by the scheduling. To solve this problem, the constraint programming technique is used. Finally, the performance of the proposed approach is evaluated with respect to the literature. The major merit of this study is to prove the capacity to diagnose efficiently the progressive faults of a plant without the necessity to add sensors dedicated to its monitoring. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/s10845-016-1219-9 | J. Intelligent Manufacturing |
Keywords | Field | DocType |
On-line fault diagnosis, Indirect diagnosis, Flexible manufacturing system, Cyclic scheduling, Constraint programming | Mathematical optimization,Scheduling (computing),Constraint programming,Cyclic scheduling,Flexible manufacturing system,Engineering,Root cause,Fault occurrence | Journal |
Volume | Issue | ISSN |
29 | 8 | 1572-8145 |
Citations | PageRank | References |
0 | 0.34 | 13 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Olfa Fakhfakh | 1 | 0 | 0.34 |
| Armand Toguyéni | 2 | 36 | 6.59 |
| Ouajdi Korbaa | 3 | 52 | 17.90 |