Abstract
We propose a risk index naturally suitable in quality-control framework
characterized by data often collected on ordinal scale, to measure the risk of failure
of a product. A so-called Severity Index is defined on the basis of the relative
frequencies of the ordinal variables. We examine the distribution and the statistical
properties of its estimator. We apply the index to real data concerning the severity
and the occurrence of defectiveness of the products of a multinational corporation
manufacturer. Our index may be employed to communicate the level of risk, to compare
among different risks and to identify interventions in the production system.
Titolo tradotto del contributo | [Autom. eng. transl.] A risk index to evaluate the criticality of a product defectiveness |
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Lingua originale | Italian |
Titolo della pubblicazione ospite | SIS 2017 Statistics and Data Science: new challenges, new generations |
Pagine | 399-403 |
Numero di pagine | 5 |
Stato di pubblicazione | Pubblicato - 2017 |
Evento | SIS 2017 Statistics and Data Science: new challenges, new generations - FIRENZE -- ITA Durata: 28 giu 2017 → 30 giu 2017 |
Convegno
Convegno | SIS 2017 Statistics and Data Science: new challenges, new generations |
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Città | FIRENZE -- ITA |
Periodo | 28/6/17 → 30/6/17 |
Keywords
- categorical variables
- failure modes and effects analysis
- risk index