Name
Title | ||
|---|---|---|
Comparative Studies Of Control Charts For Torque Data In Automotive Component Assembling |
Abstract | ||
|---|---|---|
This paper originates from a real case study, in which the torque required for assembling automotive components has to be monitored. Since the data collected are truncated from below, this paper compares three different methods to design control charts for truncated data. The first method is the I-MR control chart. The second and third approaches proposed in this paper are based on estimating percentiles of truncated populations. In particular, the second approach is a non-parametric method, while the third one assumes a truncated normal distribution for the observed data. For all the methods, control limits are designed in Phase 1, using the same false alarm rate. Performance of the three approaches are then evaluated by comparing the actual false alarm rate observed in Phase 11 to the one assumed in the design stage. The methods presented are finally rated in terms of the percentage error on the false alarm rate. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1504/IJTM.2007.011804 | INTERNATIONAL JOURNAL OF TECHNOLOGY MANAGEMENT |
Keywords | Field | DocType |
SPC, control charts, non-parametric control charts, truncated data | Truncated normal distribution,Economics,Control limits,Knowledge management,Control chart,Truncation (statistics),Statistical process control,Constant false alarm rate,Statistics,Percentile,Operations management,Automotive industry | Journal |
Volume | Issue | ISSN |
37 | 1-2 | 0267-5730 |
Citations | PageRank | References |
1 | 0.41 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| B. M. Colosimo | 1 | 32 | 5.55 |
| F. Godio | 2 | 1 | 0.41 |
| L. Palmieri | 3 | 1 | 0.41 |