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An integrated AHP-GTA approach for measuring effectiveness of quality tools and techniques

Author

Listed:
  • Vivek Sharma

    (J.C. Bose University of Science and Technology, YMCA)

  • Sandeep Grover

    (J.C. Bose University of Science and Technology, YMCA)

  • S. K. Sharma

    (NIT Kurukshetra)

Abstract

Modern organizations that wish to be successful and to achieve world-class manufacturing must possess both effective and efficient use of Quality tools and techniques (QT&T) for enhancing their performance. A large number of tools, techniques and systematic methodologies are being used in industries for enhancing their performance. Different tools and techniques have different perceived effect on quality improvement. Implementation of QT&T in different manufacturing organizations is not an easy task and requires a methodology to evaluate the effectiveness and intensity of individual QT&T. In the present exertion, various QT&T are grouped into six different categories namely, new product development tools (NPDT), decision making tools, data collection and analysis tools, lean tools, performance measurement tools and software tools which have been analyzed by using integrated multi-criteria decision making approach based on graph theoretic approach and analytic hierarchy process to measure the effectiveness of QT&T. This paper addresses NPDT tools are having high effectiveness and impact on manufacturing organization as obtained in the analysis.

Suggested Citation

  • Vivek Sharma & Sandeep Grover & S. K. Sharma, 2020. "An integrated AHP-GTA approach for measuring effectiveness of quality tools and techniques," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(1), pages 54-63, February.
    • Handle: RePEc:spr:ijsaem:v:11:y:2020:i:1:d:10.1007_s13198-019-00924-4
    DOI: 10.1007/s13198-019-00924-4
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    References listed on IDEAS

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    1. Ernest H. Forman & Saul I. Gass, 2001. "The Analytic Hierarchy Process---An Exposition," Operations Research, INFORMS, vol. 49(4), pages 469-486, August.
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    3. Tilak Raj & Rajesh Attri, 2010. "Quantifying barriers to implementing Total Quality Management (TQM)," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 4(3), pages 308-335.
    4. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
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