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Statistical Techniques And Instruments Used In Quality Management

Author

Listed:
  • 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)

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.

Suggested Citation

  • Assoc.Prof. Tomita Constantin Vasile Ph. D & Assoc.Prof. Anica Iancu Ph. D & Assoc.Prof. Luminita Florentina Popescu Ph. D & Assoc.Prof. Virgil Daniel Popescu Ph. D, 2015. "Statistical Techniques And Instruments Used In Quality Management," Revista Tinerilor Economisti (The Young Economists Journal), University of Craiova, Faculty of Economics and Business Administration, vol. 1(24), pages 147-154, APRIL.
    • Handle: RePEc:aio:rteyej:v:1:y:2015:i:24:p:147-154
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    File URL: http://feaa.ucv.ro/RTE/024-17.pdf
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    References listed on IDEAS

    as
    1. Tomita Vasile & Luminita Florentina Popescu & Anica Iancu & Virgil Daniel Popescu, 2014. "A Model Of The Strategic Management," Annals of University of Craiova - Economic Sciences Series, University of Craiova, Faculty of Economics and Business Administration, vol. 2(42), pages 103-108.
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    More about this item

    Keywords

    diagram; brainstorming; benchmarking; compatibility matrix; generic tools; techniques for nonnumeric data;
    All these keywords.

    JEL classification:

    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
    • M16 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - International Business Administration
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics

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