Genetic Algorithm-based Clustering Methodology for Maintenance Scheduling in Healthcare Facilities

Reem Ahmed, Fuzhan Nasiri, Tarek Zayed

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Maintenance scheduling is considered a fundamental process within facility management frameworks particularly in high-risk buildings like healthcare facilities. Moreover, a proper agglomeration of maintenance actions is crucial for spaces necessitating a smooth continuous operation like Intensive Care Units and Operation Rooms. Consequently, this paper proposes an optimization-based clustering framework that first selects the most suitable actions to be applied for each hospital asset according to the cost, improvement and downtime associated with each maintenance action. This is performed on a multi-objective Genetic Algorithm basis. The output is further fed into a hierarchical clustering algorithm that combines the relevant closely located actions together. This aids in efficiently allocating available resources as well as minimizing disruptions in critical locations within healthcare facilities. The preliminary results of applying the proposed framework on a case study hospital surpassed the current practice by 29% by offering a highly improved performance of hospital assets within the lowest possible operational downtime.

Original languageEnglish
Title of host publication2021 International Conference on Decision Aid Sciences and Application, DASA 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages643-646
Number of pages4
ISBN (Electronic)9781665416344
DOIs
Publication statusPublished - Dec 2021
Event2021 International Conference on Decision Aid Sciences and Application, DASA 2021 - Virtual, Online, Bahrain
Duration: 7 Dec 20218 Dec 2021

Publication series

Name2021 International Conference on Decision Aid Sciences and Application, DASA 2021

Conference

Conference2021 International Conference on Decision Aid Sciences and Application, DASA 2021
Country/TerritoryBahrain
CityVirtual, Online
Period7/12/218/12/21

Keywords

  • Genetic Algorithm
  • Healthcare Facilities
  • Hierarchical Clustering
  • K-Means Clustering
  • Maintenance Scheduling

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Decision Sciences (miscellaneous)
  • Information Systems and Management
  • Control and Optimization
  • Instrumentation

Cite this