NDLI: Applying GRM on the decision process of service quality in Medical Center

Content Provider	IEEE Xplore Digital Library
Author	Chaang-Yung Kung Tzung-Ming Yan Chih-Cheng Huang
Copyright Year	2007
Description	Author affiliation: Dept. of Insurance, Chaoyang Univ. of Technol., Taichung (Tzung-Ming Yan) \|\| Dept. of Bus. Adm., Chaoyang Univ. of Technol., Taichung (Chaang-Yung Kung) \|\| Dept. of Leisure Planning, Nat. Formosa Univ., Yunlin (Chih-Cheng Huang)
Abstract	According to the previous research of grey relational analysis (GRA), many employed grey relational method (GRM) to analyze quality function deployment (QFD). However, limited researches shed light on the entire decision-making process of quality function deployment and are lack of comparison with the traditional method, i.e. quality attribute ranking (QAR). This study will survey 185 patients who have consulted in the Central Medical Centers of Taiwan. Those questionnaires are the primary data for QFD. In order to rank the medical service quality characteristics, we manipulate traditional approaches to compare GRM with QFD. The result shows as follows. First, GRM is an excellent method for making decision within entire QFD process. It is not only suitable for QFD but also just needs a few samples to get the same result. Second, the result indicates that the ranks of factors are very alike whenever the sample size of grey relational method is 30 or above. In other words, GRM can get the good result while sample size is 30. Lastly, GRM makes up the deficiency of traditional method and makes the resolutions more useful in improving practical situations.
Starting Page	286
Ending Page	289
File Size	417381
Page Count	4
File Format	PDF
ISBN	9781424413553
DOI	10.1109/ICIAS.2007.4658392
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-11-25
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Industries Decision making Medical services Quality function deployment Artificial intelligence Business Biomedical imaging
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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