Proceedings of the 4th International Conference on Key Enabling Technologies (KEYTECH 2024)

Using Application of Quality Function Deployment (QFD) to study and enhance the healthcare sector to combat the COVID-19 pandemic

Authors
Khaled A. Eldressi1, *, Abdulrahman Jumma Abdulsalam Alsahli2, Tariq Abobaker Abdalsalam Alzawi3
1Associate Professor, Industrial and Manufacturing Systems Department, Faculty of Engineering, University of Benghazi, Benghazi, Libya
2Engineer, Industrial and Manufacturing Systems Department, Faculty of Engineering, University of Benghazi, Benghazi, Libya
3Engineer, Industrial and Manufacturing Systems Department, Faculty of Engineering, University of Benghazi, Benghazi, Libya
*Corresponding author. Email: Khaled.eldressi@uob.edu.ly
Corresponding Author
Khaled A. Eldressi
Available Online 24 December 2024.
DOI
10.2991/978-94-6463-602-4_23How to use a DOI?
Keywords
QFD; Customer demand; and Satisfaction; Education sector
Abstract

Quality Function Deployment (QFD) integrates customer requirements into product and service design. Understanding customer needs is crucial for successful development. Quality Function Deployment (QFD), a set of concepts and tools often used in manufacturing engineering and services to link consumer needs with product design, can be used to improve customer satisfaction. This paper evaluates the healthcare sector in Benghazi during COVID-19 and recommends strategies using QFD to enhance response to future pandemics. QFD utilizes customer demands to meet client missions, with the House of Quality (HOQ) determining customer needs. Applied at Benghazi Medical Center, the methodology prioritized customer requirements, resource allocations, and technical needs during the pandemic. QFD is a system that utilizes customer demands to meet client missions by outlining what the customer wants in a service or product. House of Quality (HOQ) part of QFD was used in this research to determine customer needs and thus to ensure that customer demands are met. This methodology was applied for evaluating Benghazi medical center services during COVID-19 pandemic. The HOQ methodology can serve as a powerful tool for developing new products and services. The results show that providing seminars and workshops to the medical staff to educate and prepare them for current and future pandemics and supply with good medicine and medical equipment’s are most factors should be considered.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 4th International Conference on Key Enabling Technologies (KEYTECH 2024)
Series
Atlantis Highlights in Engineering
Publication Date
24 December 2024
ISBN
978-94-6463-602-4
ISSN
2589-4943
DOI
10.2991/978-94-6463-602-4_23How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Khaled A. Eldressi
AU  - Abdulrahman Jumma Abdulsalam Alsahli
AU  - Tariq Abobaker Abdalsalam Alzawi
PY  - 2024
DA  - 2024/12/24
TI  - Using Application of Quality Function Deployment (QFD) to study and enhance the healthcare sector to combat the COVID-19 pandemic
BT  - Proceedings of the 4th International Conference on Key Enabling Technologies (KEYTECH 2024)
PB  - Atlantis Press
SP  - 156
EP  - 166
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-602-4_23
DO  - 10.2991/978-94-6463-602-4_23
ID  - Eldressi2024
ER  -