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Multivariate Total Quality Control

Foundation and Recent Advances

  • Book
  • © 2002

Overview

Editors:
  1. Carlo Lauro

    1. Dipartimento di Matematica e Statistica, Università degli Studi Napoli Frederico II, Napoli, Italy

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  2. Jaromir Antoch

    1. Faculty of Mathematics, Department of Statistics, Charles University, Praha 8 - Karlin, Czech Republic

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  3. Vincenzo Esposito Vinzi

    1. Dipartimento di Matematica e Statistica, Università degli Studi Napoli Frederico II, Napoli, Italy

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  4. Gilbert Saporta

    1. Conservatoire National des Arts et Métiers, Paris Cedex 03, France

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Part of the book series: Contributions to Statistics (CONTRIB.STAT.)

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-xiii
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  2. Off-Line Statistical Process Control

    • Jaromír Antoch, Marie Hušková, Daniela Jarušková
    Pages 1-86

  3. On-Line Statistical Process Control

    • Jaromír Antoch, Daniela Jarušková
    Pages 87-124

  4. Multivariate Control Charts for Complex Processes

    • Luan Jaupi
    Pages 125-136

  5. Multidimensional Methods for Statistical Process Control: Some Contributions of Robust Statistics

    • Ndèye Niang
    Pages 137-162

  6. Parametric and Non Parametric Multivariate Quality Control Charts

    • Germana Scepi
    Pages 163-189

  7. Non-Symmetrical Exploratory Comparative Analysis

    • Vincenzo Esposito Vinzi
    Pages 191-220

  8. The Non-Symmetrical Analysis of Multiattribute Preference Data

    • Giuseppe Giordano
    Pages 221-236
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Keywords

About this book

In the last decades, the production of goods and the offer of services have become quite complex activities mostly because of the markets globalisation, of the continuous push to the innovation and of the constant requests from more and more demanding markets. The main objective of a company system has become the achievement of the quality for the business management cycle. This cycle goes from the design (Plan) to the production (Do), from the control (Check) to the man­ agement (Action), as well as to the marketing and distribution. Nowadays, the Total Quality of the company system is evaluated, according to the ISO 9000 regulations, in terms of its capacity to adjust the design and the pro­ duction to the needs expressed (explicitly or implictly) by the final users of a product/service. In this process, the use of statistical techniques is essential not only in the classical approach of Quality Control of a product but also, and most importantly, in the Quality Design oriented to the satisfaction of customers. Thus, Total Quality refers to the global capacity of a company to fit its system to the real needs of its customers by designing products which are able to match the customers' taste and by implementing a statistical control of both the product and the Customer Satisfaction. In such a process of design and evaluation, several statistical variables are involved and with a different nature (numerical, categorical, ordinal).

Editors and Affiliations

  • Dipartimento di Matematica e Statistica, Università degli Studi Napoli Frederico II, Napoli, Italy

    Carlo Lauro, Vincenzo Esposito Vinzi

  • Faculty of Mathematics, Department of Statistics, Charles University, Praha 8 - Karlin, Czech Republic

    Jaromir Antoch

  • Conservatoire National des Arts et Métiers, Paris Cedex 03, France

    Gilbert Saporta

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