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Key performance indicators for facility performance assessment: simulation of core indicators

Author

Listed:
  • Sarel Lavy
  • John A. Garcia
  • Phil Scinto
  • Manish K. Dixit

Abstract

Assessing a facility's performance is important for measuring its contribution towards organizational goals. Among many approaches to performance assessment is the holistic key performance indicator (KPI) approach. However, there are numerous KPIs available, and the chosen KPI needs to be relevant to facility goals and must be calculated, analysed and evaluated to allow for the future state of the facility to be acceptable at the lowest cost. The value of several key descriptive analytics in facility performance assessment may be enhanced through the use of simulation. Simulation transforms the descriptive analytics into predictive and prescriptive analytics by allowing for the robust assessment of plans and future outcomes through the creation of multiple scenarios, in this case, for an education facility. The simulation approach quantifies the interrelationship and interdependence of KPIs, and is potentially effective in analysing how maintenance expenditures can be optimized to maintain a desired level of Condition Index as demonstrated by several simulation scenarios.

Suggested Citation

  • Sarel Lavy & John A. Garcia & Phil Scinto & Manish K. Dixit, 2014. "Key performance indicators for facility performance assessment: simulation of core indicators," Construction Management and Economics, Taylor & Francis Journals, vol. 32(12), pages 1183-1204, December.
  • Handle: RePEc:taf:conmgt:v:32:y:2014:i:12:p:1183-1204
    DOI: 10.1080/01446193.2014.970208
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    Cited by:

    1. Raul Berto & Carlo Antonio Stival & Paolo Rosato, 2020. "An Integrated Procedure for Ex-Ante Evaluations of Refurbishment Costs in Healthcare Facilities," Sustainability, MDPI, vol. 12(18), pages 1-29, September.
    2. Marzouk, Mohamed & Seleem, Noreihan, 2018. "Assessment of existing buildings performance using system dynamics technique," Applied Energy, Elsevier, vol. 211(C), pages 1308-1323.
    3. Jonghyeob Kim & Jae-Goo Han & Goune Kang & Kyung-Ho Chin, 2021. "Framework of Prediction Model for Mid- to Long-Term Performance Changes of Urban Railway Facilities Based on Performance Evaluation Reports," Sustainability, MDPI, vol. 13(23), pages 1-11, December.

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