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Analysing Operating Data to Measure the Maintenance Performance *
Author(s) -
Zhou Yu,
Kou Gang,
Ergu Daji
Publication year - 2015
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.1584
Subject(s) - preventive maintenance , reliability engineering , snapshot (computer storage) , measure (data warehouse) , planned maintenance , predictive maintenance , proactive maintenance , computerized maintenance management system , computer science , balanced scorecard , engineering , operations research , data mining , database , process management
Effective maintenance decision‐making depends on information obtained by analysing system operating data. In this paper, we present a method to measure the daily, weekly, monthly and long‐term performance of the corrective repair and preventive maintenance by analysing the operating data. Operating data from a bus fleet, served successively in two routes, were observed for over 6 years. The proportional intensity model is used to evaluate the environment effects, which include temperature, humidity and rainfall. Two composite models are proposed to analyse the interplay of events, which include repair/maintenance arrival/finished time, cost, repair/maintenance number and time between failures. A maintenance performance scorecard is developed to present a snapshot of the bus fleet maintenance performance, which can assist maintenance planning and management. Copyright © 2014 John Wiley & Sons, Ltd.