NDLI: Application of quality function deployment and genetic algorithm for replacement of medical equipment

Content Provider	IEEE Xplore Digital Library
Author	Saleh, Neven Rosati, Samanta Sharawi, Amr Wahed, Manal Abdel Balestra, Gabriella
Copyright Year	2014
Description	Author affiliation: Biomedical Engineering Department, Faculty of Engineering, Cairo University, Giza, Egypt (Saleh, Neven; Sharawi, Amr; Wahed, Manal Abdel) \|\| Electronics and Telecommunication Department, Politecnico di Torino, Italy (Rosati, Samanta; Balestra, Gabriella)
Abstract	The management of medical equipment raises a range of complex problems including those associated with replacement processes. One of the most significant challenges is to identify a proper list of medical equipment that requires replacement and then to optimize this list. In this article, we present a new approach to solve this problem by integrating Quality Function Deployment (QFD) and Genetic Algorithm (GA) in one framework. In a previous application, QFD has proven its validity to solve the priority problem; meanwhile GA is an optimization method. Hence, the proposed model, QFD-GA, was developed to prioritize the medical equipment for replacement process taking into account a set of criteria; in addition, the prioritized list is optimized according to the available budget of the hospital to maximize the number of replaced devices. The validation of the proposed model was carried out on sixty devices that include different types of medical equipment in one public hospital. Results show that the proposed model can efficiently classify the priority into four subcategories, and simultaneously maximize the number of medical equipment to be replaced considering the budget constraint.
Starting Page	91
Ending Page	94
File Size	776936
Page Count	4
File Format	PDF
ISBN	9781479944132
ISSN	21566100
e-ISBN	9781479944125
DOI	10.1109/CIBEC.2014.7020925
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-11
Publisher Place	Egypt
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hospitals medical equipment Aging Quality function deployment Safety quality function deployment genetic algorithms priority Biomedical monitoring replacement Tuning Monitoring
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
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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