Title | ||
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Reliability Assessment Methodology for Massive Manufacturing Using Multi-Function Equipment. |
Abstract | ||
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Experience reveals that reliability varies depending on the characteristics of operation. The manufacturing process based on multifunction equipment gives a usual case of variation in operating conditions. This work presents a methodology for the reliability analysis of multifunction processes, using the RCM approach, and a modification of the Universal Generating Function (UGF) under a massive manufacturing context. The result is a characterization of reliability, for each piece of equipment and for the production system. The methodology is applied in a workshop of a textile industry, where there is prior evidence that the failure behavior varies according to the type of function executed by multifunction machines. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1155/2018/4084917 | COMPLEXITY |
Field | DocType | Volume |
Textile industry,Universal generating function,Manufacturing engineering,Artificial intelligence,Mathematics,Machine learning,Manufacturing process | Journal | 2018 |
ISSN | Citations | PageRank |
1076-2787 | 1 | 0.63 |
References | Authors | |
5 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
MóNica A. LóPez-Campos | 1 | 4 | 3.44 |
Fredy Kristjanpoller | 2 | 1 | 2.32 |
Pablo Viveros | 3 | 5 | 2.21 |
R. Pascual | 4 | 82 | 10.83 |