Sources of fuzziness in vehicle maintenance management

Abstract

Deals with sources of fuzziness in individual parts and stages of maintenance and utilization of vehicles in large fleets. Effective vehicle fleet maintenance management requires data on reliability and maintainability. In most cases, however, available data are insuffucient for proper statistical identification of performance, making it impossible to define an adequate model to support decision‐making procedures. Demonstrates that, in such cases, the fuzzy set theory is convenient for modelling these processes so as to enable decision making and maintenance management.