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The combined application of Quality Function Deployment and Pareto analysis for hotel services improvement

Author

Listed:
  • S.A. Oke
  • C.E. Ofiabulu
  • A.A. Banjo
  • O.G. Akanbi
  • F.A. Oyawale

Abstract

This paper discusses the combined application of Quality Function Deployment (QFD) and Pareto Analysis (PA) to hotel services. This paper improves the current quality management practices in a case study hotel. This results into increased customer patronage and improved hotel profit margin. PA is applied as a prioritisation tool for the purpose of financial investment decision. The study may be applicable to other hotels. It could also significantly affect the goodwill of the organisation as well as its profit margin. This paper is new, in that it appears to be the first application of Pareto cum QFD principles in hotel services, and a new way of prioritisation and quality improvement in hotels systems.

Suggested Citation

  • S.A. Oke & C.E. Ofiabulu & A.A. Banjo & O.G. Akanbi & F.A. Oyawale, 2008. "The combined application of Quality Function Deployment and Pareto analysis for hotel services improvement," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 3(2), pages 241-262.
    • Handle: RePEc:ids:ijpqma:v:3:y:2008:i:2:p:241-262
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    Citations

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    Cited by:

    1. Navneet Singh Bhangu & G. L. Pahuja & Rupinder Singh, 2017. "Enhancing reliability of thermal power plant by implementing RCM policy and developing reliability prediction model: a case study," 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 1923-1936, November.
    2. Catherine Y. P. Chan & Kwai-Sang Chin & Candace Chan & Kwok L. Tsui, 2019. "An analysis of passengers’ ride needs of urban rail transit services: application of quality function deployment," International Journal of Quality Innovation, Springer, vol. 5(1), pages 1-21, December.

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