BIG DATA ANALYTICS FOR PREVENTIVE MAINTENANCE MANAGEMENT

Authors

  • Muhammad Najib Razali Faculty of Built Environment and Surveying, UNIVERSITI TEKNOLOGI MALAYSIA
  • Siti Hajar Othman Faculty of Built Environment and Surveying, UNIVERSITI TEKNOLOGI MALAYSIA
  • Ain Farhana Jamaludin Faculty of Built Environment and Surveying, UNIVERSITI TEKNOLOGI MALAYSIA
  • Nurul Hana Adi Maimun Faculty of Built Environment and Surveying, UNIVERSITI TEKNOLOGI MALAYSIA
  • Rohaya Abdul Jalil Faculty of Built Environment and Surveying, UNIVERSITI TEKNOLOGI MALAYSIA
  • Yasmin Mohd. Adnan Faculty of Built Environment UNIVERSITI MALAYA
  • Siti Hafsah Zulkarnain Faculty of Architecture Planning and Surveying, UNIVERSITI TEKNOLOGI MARA

DOI:

https://doi.org/10.21837/pm.v19i17.1019

Keywords:

Big data, analytics, maintenance, forecasting, Malaysia

Abstract

Maintenance data for government buildings in Putrajaya, Malaysia, consists of a vast volume of data that is divided into different classes based on the functions of the maintenance tasks. As a result, multiple interactions from stakeholders and customers are required. This necessitates the collection of data that is specific to the stakeholders and customers. Big data can also forecast for predictive maintenance purposes in maintenance management. The current data practise relies solely on well-structured statistical data, resulting in static analysis and findings. Predictive maintenance under the Big Data idea will also use non-visible data such as social media and web search queries, which is a novel way to use Big Data analytics. The metamodel technique will be used in this study to evaluate the predictive maintenance model and faulty events in order to verify that the asset, facilities, and buildings are in excellent working order utilising systematic maintenance analytics. The metamodel method proposed a predictive maintenance procedure in Putrajaya by utilising the big data idea for maintenance management data.

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Published

2021-10-17

How to Cite

Razali, M. N., Othman, S. H., Jamaludin, A. F., Adi Maimun, N. H., Abdul Jalil, R., Mohd. Adnan, Y., & Zulkarnain, S. H. (2021). BIG DATA ANALYTICS FOR PREVENTIVE MAINTENANCE MANAGEMENT. PLANNING MALAYSIA, 19(17). https://doi.org/10.21837/pm.v19i17.1019

Issue

Vol. 19 (2021): PLANNING MALAYSIA JOURNAL : Volume 19, Issue 3, 2021

Section

Article

License

Copyright & Creative Commons Licence

eISSN: 0128-0945 © Year. The Authors. Published for Malaysia Institute of Planners. This is an open-access article under the CC BY-NC-ND license.

The authors hold the copyright without restrictions and also retain publishing rights without restrictions.

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