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One of the primary concerns of hospital executives is their capacity to improve the performance of their organizations. Managers can attain this aim by employing quality management and decision-making approaches. The corrective activities to improve hospital service quality are determined and selected in this study utilizing a combination of the quality function deployment (QFD) approach, kano analysis and the Knapsack Problem Mathematical Model (KPMM). This method is used in Pandian Heart Center, Madurai, Tamilnadu, India. First, the needs of the clients are determined. The corrective acts that will satisfy these desires are then identified, and the link between each corrective activity and each want is established. Following that, based on the kano analysis, the sorts of desires are recognized, as well as their weights. This research identified 30 client desires, with "Professional and experienced physicians and nurses" and "Healthy and adequate consumables" receiving the most votes. There are two "attractive" consumer desires, 15 "onedimensional" customer wants, and 13 "must-be" customer wants, according to the findings. Finally, 30 remedial tasks have been identified and are being implemented in the quality house. The remedial efforts "Training of physicians and nurses" and "Increasing staff sense of responsibility" received the most votes. In the house of quality approach, using the kano analysis to determine the weight of customers' needs causes the organization's plans to be taken into consideration while prioritizing corrective efforts. Furthermore, KPMM allows for the best possible selection of remedial activities. Hospital, House of Quality, Kano Analysis, Functional Expansion.
Keywords:
House of Quality, Kano Analysis, Quality function deployment (QFD), Knapsack Problem Mathematical Model (KPMM).
Cite Article:
"Quality Function Deployment (QFD) And Kano Analysis For Improving Hospital Service Quality", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 9, page no.102 - 110, September-2022, Available :http://www.ijrti.org/papers/IJRTI2209013.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator