Optimizing The Maintenance Process In The Management Of Medical Equipment At The Hospital By Using Quality Function Deployment

7 pages•Published: July 19, 2023

Hong Nhung Vo Thi, Ngoc An Dang Nguyen, Nhat Nam Nguyen and Trung Nghia Tran

Abstract

This paper aims to provide a solution to the mentioned problem, a way to optimize planning and the execution of maintenance, with the test size being 320 patient beds, by developing a 3-frame model using QFD (Quality Function Deployment) to create a priority assessment program. The priority score is based on risks, mission, and maintenance. Therefore, the traditional use of QFD can end up overridden prioritized decisions. To improve the original model, Fuzzy Logic is integrated into the model. The model helps identify essential criteria as well as optimize the budget required for maintenance. From there, it assigns priority scores and sorts the equipment based on them to create the most suitable maintenance schedule.

Keyphrases: fuzzy logic, maintenance, medical equipment, prioritized decision, quality function deployment

In: Trung Nghia Tran, Quoc Khai Le, Tich Thien Truong, Thanh Nha Nguyen and Hoang Nhut Huynh (editors). Proceedings of International Symposium on Applied Science 2022, vol 5, pages 152-158.

Links:	https://easychair.org/publications/paper/mVJD
	https://doi.org/10.29007/tblv

BibTeX entry

@inproceedings{ISAS2022:Optimizing_Maintenance_Process_Management,
  author    = {Hong Nhung Vo Thi and Ngoc An Dang Nguyen and Nhat Nam Nguyen and Trung Nghia Tran},
  title     = {Optimizing The Maintenance Process In The Management Of Medical Equipment At The Hospital By Using Quality Function Deployment},
  booktitle = {Proceedings of International Symposium on Applied Science 2022},
  editor    = {Trung Nghia Tran and Quoc Khai Le and Tich Thien Truong and Thanh Nha Nguyen and Hoang Nhut Huynh},
  series    = {EPiC Series in Engineering},
  volume    = {5},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {/publications/paper/mVJD},
  doi       = {10.29007/tblv},
  pages     = {152-158},
  year      = {2023}}

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