Analysing Operating Data to Measure the Maintenance Performance^*

Abstract

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.

ANÁLISIS DE LOS FACTORES CLAVE PARA MEJORAR LA GESTIÓN DEL MANTENIMIENTO EN LA INDUSTRIA DE OIL&GAS EN AMÉRICA LATINA

“…The equation's result therefore needs to be interpreted with caution. Maintenance performance reporting is difficult as it is time consuming and depends on the accuracy of the available data [24]. Moreover, the major benefits of improvements of maintenance are usually noticed in working areas such as production, quality, tied up capital, LCC management etc., but hardy registered in maintenance [19].…”

Bus Fleet Management – A Systematic Literature Review

“…Even though these numbers stress out the social and economic impact, transit agencies need to evolve beyond the environmental impact [3,4] and move towards the concept of integrated sustainability [5]. Hence, the fleet managers should no longer be solely responsible for routing and scheduling problems; on the contrary, they must rely on performance associated with fuel economy [6], availability [7][8][9], operational efficiency [10,11], life cycle management [12], and pollution [13,14] -highlighting the complexity of decision-making in the BFM domain. The term Bus Fleet Management started appearing during the 1970s where Hauslen [15], and later Roth [16], discussed the benefits of AVM (Automated Vehicle Monitoring) to resolve the issues of "bunching" (simultaneous arrival of buses).…”

Intersection of corrosion prevention strategy and practice

“…Khalil et al (2009) identify a minimum-cost solution to balancing preventive and corrective maintenance procedures by leveraging industrial case studies. Empirical maintenance data from a bus fleet are used by Zhou et al (2015) demonstrating the positive impact of preventive maintenance while also accounting for environmental variables. The importance of a robust strategy including preventive maintenance is demonstrated by Salonen and Deleryd (2011) through its impact on firm financial performance within the manufacturing sector.…”

“…Not only is this data useful in analyzing historical performance but also in establishing long-term maintenance plans, policies and strategies (Answell et al, 2003). More specifically, Zhou et al (2015) propose a balanced scorecard to support strategic and operational-level maintenance decisions. Kumar et al (2013) caution against using a multitude of potential indicators on a scorecard, "Scorecards with large numbers of indicators that do not define the users or responsible personnel actually hinder the work for which they are developed".…”