This paper deals with the Total Quality under the new perspective of the Total Quality Management (TQM). In this framework, we aim to propose different strategies for checking quality, referring to the control both of Customer Satisfaction as well as of the production process. Our approaches take explicitly into account the real complexity of these control data by considering them as interval data. Therefore, we undertake the factorial symbolic data analysis viewpoint both in defining tools for visualising, measuring and interpreting Customer Satisfaction and in building non-parametric multivariate control charts.
L'Analisi dei Dati ad Intervallo nell'Ambito della Qualità / Grassia, MARIA GABRIELLA; Lauro, Natale; Scepi, Germana. - STAMPA. - (2004), pp. 65-79.
L'Analisi dei Dati ad Intervallo nell'Ambito della Qualità
GRASSIA, MARIA GABRIELLA;LAURO, NATALE;SCEPI, GERMANA
2004
Abstract
This paper deals with the Total Quality under the new perspective of the Total Quality Management (TQM). In this framework, we aim to propose different strategies for checking quality, referring to the control both of Customer Satisfaction as well as of the production process. Our approaches take explicitly into account the real complexity of these control data by considering them as interval data. Therefore, we undertake the factorial symbolic data analysis viewpoint both in defining tools for visualising, measuring and interpreting Customer Satisfaction and in building non-parametric multivariate control charts.File | Dimensione | Formato | |
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