Maintaining high efficiency of using the fleet of public mass transport vehicles puts many challenges ahead of the operator. Among
them, when planning periodic operational activities, the operator should take into account the assessment of possible unexpected
vehicle failures and the costs of their removal under the so-called corrective maintenance. Due to the random nature of vehicle
breakdowns, knowledge about stochastic processes is necessary to maintain their efficient and safe operation. The research problem formulated in the title meets these needs. Therefore, the costs of corrective maintenance of vehicles are modelled, i.e. the costs
that are not included in the scheduled maintenance costs and are not related to preventive maintenance. The costs of corrective
maintenance and the costs of replacement of damaged parts are unexpectedly created at random moments of operating means of
transport, usually between scheduled maintenance. Due to the variety of failure processes of individual parts of the vehicle, the
methods and applications of stochastic modelling for simple failures modelled by the Poisson process are presented in this paper.
The basis for the application of the presented methods is to identify those parts of the vehicle that are damaged in accordance with
this process. The assessment of parameters of failure processes of individual vehicle parts is made on the basis of the operational
database of a homogeneous fleet of vehicles operated for 5 years. The operational database is dynamically updated with new
events. On the basis of actual data on corrective maintenance of a distinguished group of damaged parts of vehicles, the possibilities and limitations of practical applications of the Poisson process to assess the risk of incurring costs in the further process of
fleet operation were shown.
REFERENCES(27)
1.
Andrzejczak K.: Stochastic modelling of the repairable system, Journal of KONBiN 3(35) 2015, 5-14.
Andrzejczak K.: Methods of the forecasting in the modeling of means of transport maintenance (in Polish). Rozprawy nr 496. Wydawnictwo Politechniki Poznańskiej, Poznań 2013.
Andrzejczak K, Selech J., Investigating the trends of average costs of corrective maintenance of public transport vehicles, Journal of KONBiN 41(2017), 207-226. DOI 10.1515jok-2017-0011.
Andrzejczak K., Młyńczak M., Selech J. Assessment model of operational effectiveness related to newly operated public means of transport. Proceedings of the 27th European Safety and Reliability Conference (ESREL 2017), Portorož, Słowenia, Editors: Marko Čepin, Radim Briš, pages 3455-3461.
Chen Y., Cowling P., Polack F., Remde S., Mourdjis P., Dynamic optimisation of preventative and corrective maintenance schedules for a large scale urban drainage system. European Journal of Operational Research, 257 (2), 494-510. https://doi.org/10.1016/j.ejor....
Ferreira L.A., Silva J.L. Parameter estimation for Weibull distribution with right censored data using EM algorithm. Eksploatacja i Niezawodnosc – Maintenance and Reliability 2017; 19(2): 310–315, http://dx.doi.org/10.17531/ein... .
Grabski F.: Nonhomogenous Poisson proces application to modeling accidents number at Baltic Sea waters and ports, Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars, Vol. 8, Number 1, 2017, 39-46.
Jokiel-Rokita A., Magiera R.: (2010). Parameter estimation in non-homogeneous Poisson process models for software reliability. Technical report, Wrocław University of Technology, Institute of Mathematics and Computer Science.
Knopik L, Migawa K. Multi-state model of maintenance policy. Eksploatacja i Niezawodnosc – Maintenance and Reliability 2018; 20 (1): 125–130, http://dx.doi.org/10.17531/ein....
Kusz A., Marciniak A., Skwarcz J. Implementation of computation process in a bayesian network on the example of unit operating costs determination. Eksploatacja i Niezawodnosc – Maintenance and Reliability 2015; 17 (2): 266–272, http://dx.doi.org/10.17531/ein....
Lee H, Cha J H. New stochastic models for preventive maintenance and maintenance optimization. European Journal of Operational Research 2016; 255 (1): 80-90, https://doi.org/10.1016/j.ejor....
Macián V, Tormos B, Riechi J. Time replacement optimization model: comparative analysis of urban transport fleets using Monte Carlo Simulation. Eksploatacja i Niezawodnosc – Maintenance and Reliability 2017; 19 (2): 151–157, http://dx.doi.org/10.17531/ein....
Nataša Kontrec, Stefan Panić, Milena Petrović, Hranislav Milošević. A stochastic model for estimation of repair rate for system operating under performance based logistics. Eksploatacja i Niezawodnosc – Maintenance and Reliability 2018; 20 (1): 68–72, http://dx.doi.org/10.17531/ein....
Nowakowski T, Młyńczak M, Werbińska-Wojciechowska S, Dziaduch I, Tubis A. Life Cycle Costs of passenger transportation system. Case study of Wroclaw city agglomeration 5. JPSRA 2014; 5: 109-120.
Pogačnik B, Duhovnik J, Tavčar J. Aircraft fault forecasting at maintenance service on the basis of historic data and aircraft parameters. Eksploatacja i Niezawodnosc – Maintenance and Reliability 2017; 19 (4): 624–633, http://dx.doi.org/10.17531/ein....
Raposo H, Farinha JT, Ferreira L, Galar D. An integrated econometric model for bus replacement and determination of reserve fleet size based on predictive maintenance. Eksploatacja i Niezawodnosc – Maintenance and Reliability 2017; 19 (3): 358–368, http://dx.doi.org/10.17531/ein....
Rymarz J, Niewczas A, Krzyżak A. Comparison of operational availability of public city buses by analysis of variance. Eksploatacja I Niezawodnosc–Maintenance and Reliability 2016; 18 (3):373–378, http://dx.doi.org/10.17531/ein....
Sharma A, Yadava G S, Deshmukh S G. A literature review and future perspectives on maintenance optimization, Journal of Quality in Maintenance Engineering 2011; 17 (1): 5 – 25, https://doi.org/10.1108/135525....
The Usage of Alternative Materials to Optimize Bus Frame Structure Tautvydas Pravilonis, Edgar Sokolovskij, Artūras Kilikevičius, Jonas Matijošius, Kristina Kilikevičienė Symmetry
Study of Indicators of CI Engine Running on Conventional Diesel and Chicken Fat Mixtures Changing EGR Alfredas Rimkus, Tadas Vipartas, Jonas Matijošius, Saulius Stravinskas, Donatas Kriaučiūnas Applied Sciences
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Improving business performance through TPM method: The evidence from the production and processing of crude oil Rafał Drewniak, Zbigniew Drewniak, Ahmed Mosa PLOS ONE
The failure analysis of the drilling rig hoisting steel wire rope Pavel Peterka, Jozef Krešák, Marek Vojtko, Branislav Halek, David Heinz Eksploatacja i Niezawodność – Maintenance and Reliability
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Stochastic modelling of the temperature increase in metal stampings with multiple stress variables and random effects for reliability assessment del Quezada, Luis Rodríguez-Picón, Iván Pérez-Olguín, Luis Méndez-González Eksploatacja i Niezawodność – Maintenance and Reliability
Forecasting the readiness of special vehicles using the semi-Markov model Anna Borucka, Andrzej Niewczas, Kamila Hasilova Eksploatacja i Niezawodność – Maintenance and Reliability
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A method for rapid evaluation of k-out-of-n systems reliability Stanisław Młynarski, Robert Pilch, Maksymilian Smolnik, Jan Szybka, Grzegorz Wiązania Eksploatacja i Niezawodność – Maintenance and Reliability
Material’s Strength Analysis of the Coupling Node of Axle of the Truck Trailer Živilė Decker, Jurijus Tretjakovas, Kazimierz Drozd, Vitalijus Rudzinskas, Mariusz Walczak, Artūras Kilikevičius, Jonas Matijosius, Iryna Boretska Materials
Machine learning models for maintenance cost estimation in delivery trucks using diesel and natural gas fuels Sasanka Katreddi, Arvind Thiruvengadam, Gregory Thompson, Natalia Schmid, Vishnu Padmanaban Frontiers in Mechanical Engineering
Review Models and Methods for Determining and Predicting the Reliability of Technical Systems and Transport Nikita Martyushev, Boris Malozyomov, Svetlana Sorokova, Egor Efremenkov, Denis Valuev, Mengxu Qi Mathematics
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