Stochastic-based Deterioration Modeling of Elevators in Healthcare Facilities

Reem Ahmed, Ahmed Assad, Eslam Mohammed Abdelkader, Tarek Zayed, Fuzhan Nasiri

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

Abstract

Deterioration and aging associated with building assets are becoming major concerns in most countries as their building portfolios continue to increase and expand. Healthcare facilities are a special case of building assets that inherit a significant criticality and complexity within its operation and maintenance regimes which makes monitoring the assets' condition and forecasting their life expectancy two of the most essential functions in a healthcare environment. In this paper, a stochastic deterioration prediction approach was developed to model and estimate the degradation of elevators systems within hospital building environments due to their importance to the continuity of the hospital mission and services. Different probability distributions were fitted using historical condition data and the performance of different distributions was then compared utilizing the Anderson-Darling test. Parameters of the best distribution were thus found using maximum likelihood estimate. The developed model is expected to aid decision makers in improving the planning process for their maintenance and rehabilitation programs and to efficiently conduct proactive maintenance activities in a timely manner which helps ensure the sustainability of hospital operation.

Original languageEnglish
Title of host publication2020 International Conference on Decision Aid Sciences and Application, DASA 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages572-576
Number of pages5
ISBN (Electronic)9781728196770
DOIs
Publication statusPublished - 8 Nov 2020
Event2020 International Conference on Decision Aid Sciences and Application, DASA 2020 - Virtual, Sakheer, Bahrain
Duration: 7 Nov 20209 Nov 2020

Publication series

Name2020 International Conference on Decision Aid Sciences and Application, DASA 2020

Conference

Conference2020 International Conference on Decision Aid Sciences and Application, DASA 2020
Country/TerritoryBahrain
CityVirtual, Sakheer
Period7/11/209/11/20

Keywords

  • Anderson-Darling test
  • deterioration prediction
  • healthcare facilities
  • maximum likelihood estimate
  • Weibull probability distribution

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Decision Sciences (miscellaneous)
  • Information Systems and Management
  • Control and Optimization

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