Identification of asset life cycle stage: case study in heavy-duty truck fleet

Abstract

Purpose

This paper aims to determine the stage of the life cycle where the trucks of a waste collection fleet from a Colombian city are located through a reliability approach. The reliability analysis and the evaluation of curve of operational costs allow to know the moment in which it is necessary to make decisions regarding an asset, its maintenance or possible replacement.

Design/methodology/approach

For a dataset presented as maintenance work orders, the time to failures (TTFs) for each vehicle in the fleet were calculated. Then, a probability density function for those TTFs was fitted to locate each vehicle in a region of the bathtub curve and to calculate the reliability of the whole fleet. A general functional analysis was also developed to understand the function of the vehicles.

Findings

It was possible to determine that the largest proportion of the fleet was in the final stage of the life cycle, in this sense, the entire fleet represent critical assets which in most of cases could be worth replacement or overhaul.

Originality/value

In this study, an address is exposed for the identification of critical equipment by reliability and statistical analysis. This analysis is also integrated with the maintenance management process. This is a broadly interested topic since it allows to support the maintenance and operational decision-making process, indicating the focus of resource allocation all over the entire asset life cycle.

Citation

Rivera Baena, O.D., Clavijo Mesa, M.V., Patino Rodriguez, C.E. and Guevara Carazas, F.J. (2022), "Identification of asset life cycle stage: case study in heavy-duty truck fleet", International Journal of Quality & Reliability Management, Vol. 39 No. 9, pp. 2233-2251. https://doi.org/10.1108/IJQRM-09-2020-0300