This paper is the outcome of a study carried out in a nine‐cell flexible manufacturing unit which produces components for Diesel engine injection pumps. The study involved the monitoring and recording of the various types of failure which led to interruptions in production. The objective of the study was to design a maintenance system for the optimal management of replacement stocks, both from the technical and economic point of view. The design of this programme was based on matching a given statistical distribution (Weibull’s distribution, exponential, normal, log‐normal, or gamma) to the time between failures. By means of this fit, the basic system parameters were determined: average lifetime, failure rate, mean time between failures, mean time between inspections. Knowledge of these variables permits us to determine the frequency of inspections in relation to the level of reliability we require of the system. This information also enables us to establish a programme to determine which elements require inspection, the frequency of these inspections and the operations that need to be carried out.
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1 June 2002
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June 01 2002
Optimization of replacement stocks using a maintenance programme derived from reliability studies of production systems Available to Purchase
José Ma Castán Farrero;
José Ma Castán Farrero
Business Administration Department, University of Barcelona, Barcelona, Spain
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Laura Guitart Tarrés;
Laura Guitart Tarrés
Business Administration Department, University of Barcelona, Barcelona, Spain
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Catalina Bolancé Losilla
Catalina Bolancé Losilla
Statistics and Econometrics Department, University of Barcelona, Barcelona, Spain
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Publisher: Emerald Publishing
Online ISSN: 1758-5783
Print ISSN: 0263-5577
© MCB UP Limited
2002
Industrial Management & Data Systems (2002) 102 (4): 188–196.
Citation
Castán Farrero JM, Guitart Tarrés L, Bolancé Losilla C (2002), "Optimization of replacement stocks using a maintenance programme derived from reliability studies of production systems". Industrial Management & Data Systems, Vol. 102 No. 4 pp. 188–196, doi: https://doi.org/10.1108/02635570210423226
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