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Quantifying barriers to implementing Total Quality Management (TQM)

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  • Tilak Raj
  • Rajesh Attri

Abstract

Total Quality Management (TQM) is a philosophy that delivers long-term benefits in terms of profitability, customer satisfaction and quality of products. Different organisations work for TQM implementation and utilise their resources to achieve the anticipated benefits. However, it is generally experienced that TQM implementation is a hard and very painful process. There are certain barriers that inhibit the successful implementation of TQM. In the present work, an attempt was made to develop a mathematical model of these barriers using a Graph Theoretic Approach (GTA). An index of barriers in TQM is proposed which evaluates the inhibiting power of these barriers. [Received 02 October 2008; Revised 17 March 2009; Revised 25 May 2009; Accepted 13 June 2009]

Suggested Citation

  • 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.
    • Handle: RePEc:ids:eujine:v:4:y:2010:i:3:p:308-335
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    Citations

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    Cited by:

    1. Piotr Zawada & Włodzimierz Okrasa & Jack Warchalowski, 2020. "Flow management system for maximising business revenue and profitability," Statistics in Transition New Series, Polish Statistical Association, vol. 21(5), pages 193-206, December.
    2. Monika Dhochak & Anil K. Sharma, 2016. "Integration of factors affecting venture capitalists' investment decision: an interpretive structural modelling approach," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 15(1), pages 38-52.
    3. Monika Dhochak & Anil Kumar Sharma, 2016. "Using interpretive structural modeling in venture capitalists’ decision-making process," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 43(1), pages 53-65, March.
    4. Chowdhury, Nighat Afroz & Ali, Syed Mithun & Mahtab, Zuhayer & Rahman, Towfique & Kabir, Golam & Paul, Sanjoy Kumar, 2019. "A structural model for investigating the driving and dependence power of supply chain risks in the readymade garment industry," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 102-113.
    5. Codruţa Dura & Claudia Isac, 2014. "The diagnosis of the quality of educational services within the University of Petroşani," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 14(1), pages 71-90.
    6. Nikhil Dev & Rajesh Kumar Attri, 2017. "Evaluation of gas turbine power plant efficiency using graph theoretic approach," 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. 8(2), pages 676-689, November.
    7. 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.
    8. Souraj Salah & Abdur Rahim & Juan A. Carretero, 2011. "Implementation of Lean Six Sigma (LSS) in supply chain management (SCM): an integrated management philosophy," International Journal of Transitions and Innovation Systems, Inderscience Enterprises Ltd, vol. 1(2), pages 138-162.

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