An analysis of internet of things technology selection for hospital laboratory maintenance

M. Rizky Alfarisi, M. Dachyar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Hospitals need to ensure that all laboratory equipment could support disease diagnosis, disease healing, and health restoration. Delay in equipment maintenance can cause harm to patients (patient services) and the hospital. Until now, the hospital is still experiencing difficulties in monitoring equipment performance. This study aims to design the selection of Internet of Things technology to improve laboratory equipment maintenance performance. The Fuzzy Analytic Hierarchy Process (F-AHP) method is used to weigh the factors for the application of maintenance technology, and the Additive Ratio Assessment (ARAS) method is conducted to rank the proposed maintenance technology in the laboratory. This research results four priority for alternative internet of things technology in the maintenance of a laboratory unit in one of Jakarta’s private hospitals.

Original languageEnglish
Title of host publicationProceedings of the 11th Annual International Conference on Industrial Engineering and Operations Management, 2021
PublisherIEOM Society
Pages1594-1604
Number of pages11
ISBN (Print)9781792361241
Publication statusPublished - 2021
Event11th Annual International Conference on Industrial Engineering and Operations Management, IEOM 2021 - Virtual, Online
Duration: 7 Mar 202111 Mar 2021

Publication series

NameProceedings of the International Conference on Industrial Engineering and Operations Management
ISSN (Electronic)2169-8767

Conference

Conference11th Annual International Conference on Industrial Engineering and Operations Management, IEOM 2021
CityVirtual, Online
Period7/03/2111/03/21

Keywords

  • Additive Ratio Assessment
  • Fuzzy AHP
  • Internet of Things (IoT)
  • Laboratory Equipment Maintenance
  • Multi Criteria Decision Making

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