STATISTICAL TECHNIQUES AND INSTRUMENTS USED IN QUALITY MANAGEMENT

Assoc.Prof. Tomita Constantin Vasile Ph. D, Assoc.Prof. Anica Iancu Ph. D, Assoc.Prof. Luminita Florentina Popescu Ph. D and Assoc.Prof. Virgil Daniel Popescu Ph. D
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Assoc.Prof. Tomita Constantin Vasile Ph. D: University of Craiova, Faculty of Economics and Business Administration, Romania
Assoc.Prof. Anica Iancu Ph. D: University of Craiova, Faculty of Economics and Business Administration, Romania
Assoc.Prof. Luminita Florentina Popescu Ph. D: University of Craiova, Faculty of Economics and Business Administration, Romania
Assoc.Prof. Virgil Daniel Popescu Ph. D: University of Craiova, Faculty of Economics and Business Administration, Romania

Revista Tinerilor Economisti (The Young Economists Journal), 2015, vol. 1, issue 24, 147-154

Abstract: The problem arose once product quality and handicraft production has increased during the industrial revolution. The concept of quality control has evolved over time in the last three decades having been a shift from excessive concerns over the quality / reliability of the product itself, to those related to "generator" of the product, namely manufacturing.In the first half of the twentieth century, those who were turned to product quality techniques and statistical tools for achieving adequate quality. Currently supported seven basic quality techniques (summarized in this article) and seven basic management techniques.

Keywords: diagram; brainstorming; benchmarking; compatibility matrix; generic tools; techniques for nonnumeric data (search for similar items in EconPapers)
JEL-codes: M11 M16 M21 (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:aio:rteyej:v:1:y:2015:i:24:p:147-154

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