Industrial engineering methods in management of motor vehicle breakdowns behaviour analysis

• Main Authors: Begović Danijel, Misita Mirjana, Milanović Dragan D., Milanović Dragan Lj.
• Format: Article
• Language: English
• Published: University of Belgrade - Faculty of Mechanical Engineering, Belgrade 2011-01-01
• Series: FME Transactions
• Subjects: industrial engineering methods; breakdowns analysis; motor vehicle
• Online Access: https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2011/1451-20921104191B.pdf

The paper presents the methodology of grouping and processing of the data related to the motor vehicles' breakdowns in the observed sample. In order to perform statistical research with possible motor vehicle behaviour prediction, it is needed to have perennial tracking of selected population features. Using a non-parametric statistical Kolmogorov-Smirnov test, it is possible to identify the distribution affinity of particularly selected vehicle features in terms of breakdowns phenomena. By the introduction of advanced polynomials computation, it is possible to determine the function for prediction of certain vehicle breakdowns in the vehicle maintenance system. The results of the application of the function for prediction of certain vehicle breakdowns in the observed sample of motor vehicles allow monitoring of the behaviour of certain vehicle breakdowns. By the introduction of polynomials concentration, it is possible to overcome the problem of handling with generative polynomial functions with a high degree.