RELIABILITY ANALYSIS OF VEHICLES IN A FLEET IN BOSNIA AND HERZEGOVINA

Authors

  • Admir Muslija University of Zagreb, Faculty of Transport Sciences, Zagreb, Croatia
  • Predrag Dašić Academy of Professional Studies Šumadija – Department in Trstenik, Serbia
  • Jakub Šenderović Center "Litteratus", Sarajevo, Bosnia and Herzegovina

Keywords:

reliability, reliability analysis, maintenance, efficiency, availability, vehicle, truck fleet

Abstract

Reliability can be observed as an item with a probability to perform at an unchanged rate maintaining its function without failure under declared conditions for specified time. Predicting events that can cause vehicle failure in the vehicle fleet is an everyday activity and the process is seriously monitored and its causes and consequences are considered. The fleet maintenance process directly improves and enables its application for the intended tasks.

The paper presents a reliability analysis for 10 vehicles for transport in a heterogeneous fleet for the period from 2016 to 2020 of the company Suša commerce Ltd. from Visoko (Bosnia and Herzegovina).

Through the calculation and analysis of failure density function f(t), reliability function R(t), unreliability function F(t) failure rate function l(t) for 10 vehicles for transport in a heterogeneous fleet for the period from 2016 to 2020 of the company Suša commerce Ltd. its efficiency and evaluation of the maintenance system as the most important lever for ensuring quality transport as well as the efficiency of transport from point A to point B in a given time frame are presented.

For the mentioned research, the arithmetic mean is: =MTBF=1050 [h] and standard deviation is: s=SD=522.4. Most of the failures, for 10 vehicles for transport in the heterogeneous fleet for the period from 2016 to 2020 of the company Suša commerce Ltd., occurred in the second and third intervals, which means that the largest maintenance intervention must be realized during the third interval (t=800-1200 [h]). Reliability R(t)=0.5 or 50% and unreliability F(t)=0.5 or 50% in the experimental model is for time t=750 [h].

References

Altamura, A., & Beretta, S. (2012). Reliability assessment of hydraulic cylinders considering service loads and flaw distribution. International Journal of Pressure Vessels and Piping, 98, 76–88. DOI: 10.1016/j.ijpvp.2012.07.006.

Dašić, P. (2001). Determination of reliability of ceramic cutting tools on the basis of comparative analysis of different functions distribution. International Journal of Quality & Reliability Management, 18 (4-5), 433–446. DOI: 10.1108/02656710110387012.

Dašić, P. (2019). Reliability of technical systems: Selected scientific-professional papers (in Serbian). SaTCIP Publesher Ltd., Vrnjačka Banja, Serbia.

Dašić, P., Natsis, A., & Petropoulos, G. (2008). Models of reliability for cutting tools: Examples in manufacturing and agricultural engineering. Strojniški vestnik – Journal of Mechanical Engineering, 54(2), 122–130.

Dašić, P., Živković, M., & Karić, M. (2015). Reliability analysis of the hydro-system of excavator SchRs 800 using Weibull distribution. Applied Mechanics and Materials, 806, 173–180. DOI: 10.4028/www.scientific.net/AMM.806.173.

Dziubak, T., Wysocki, T., & Dziubak, S. (2021). Selection of vehicles for fleet of transport company on the basis of observation of their operational reliability. Eksploatacja i Niezawodnosc, 23(1), 184-194. DOI: 10.17531/EIN.2021.1.19.

Janić, M. (2021). An approach to analysing and modelling the reliability of transport services. Transportation Planning and Technology, 44(6), 647-678. DOI: 10.1080/03081060.2021.1943133.

Kececioglu, D.B. (2002a). Reliability engineering handbook. Vol. 1, DEStech Publications Inc., Lancaster.

Kececioglu, D.B. (2002b). Reliability engineering handbook. Vol. 2, DEStech Publications Inc., Lancaster.

Kurganov, V., Gryaznov, M., Davydov, K., & Polyakova, L. (2020). Increased efficiency and reliability of maintanance of mass passenger flow with the regular route network of city transport. Scientific Journal of Silesian University of Technology. Series Transport, 108, 107-119. DOI: 10.20858/sjsutst.2020.108.10.

Repin, S., Zazykin, A., & Maksimov, S. (2020). Improving operational safety of transport and handling machinery based on automobile chassis by forming fleets of machinery with specific level of reliability. Transportation Research Procedia, 50, 582-590. DOI: 10.1016/j.trpro.2020.10.070.

Rathore, S.S., Jan, A., Coon, E.T., & Painter, S.L. (2021). On the reliability of parameter inferences in a multiscale model for transport in stream corridors. Water Resources Research, 57(5), art. no. e2020WR028908. DOI: 10.1029/2020WR028908.

Sabitov, L.S., Aukhadeyev, A.E., Idiyatullin, R.G., Litvinenko, R.S., Kisneeva, L.N., Khusnutdinov, A.N., & Ilyushin, O.V. (2020). Reliability study for traction electrical equipment of urban electric transport. IOP Conference Series: Materials Science and Engineering, 915, art. no. 012048. DOI: 10.1088/1757-899X/915/1/012048.

Santana, S.P.B., Oliveira-Esquerre, K.P., Pessoa, W.S.R., & Silva, B.B.S. (2020). Reliability of a collection and transport system for industrial waste water. Process Safety and Environmental Protection, 137, 177-191. DOI: 10.1016/j.psep.2020.01.039.

Savin, L.O., & Novikov, A.N. (2020). On the possibility of individual forecasting of reliability factors of mechanical transport units. IOP Conference Series: Materials Science and Engineering, 971(5), art. no. 052087. DOI: 10.1088/1757-899X/971/5/052087.

Sharov, M. (2020). Reliability as index of formation of sustainable urban passenger transport system, exemplified by cities in Russian Federation. Transportation Research Procedia, 50, 647-653. DOI: 10.1016/j.trpro.2020.10.076.

Sun, Z., Yu, T., Pang, H., & Song, B. (2021). Failure mechanism and reliability analysis of the rear cargo door lock of transport aircraft. Engineering Failure Analysis, 122, art. no. 105182. DOI: 10.1016/j.engfailanal.2020.105182.

Tsarkova, E., Belyaev, A., Churakov, D., & Andreeva, E. (2020). Reliability forecasting for optimal planning of measures for maintenance of security systems of transport infrastructure facilities. IOP Conference Series: Materials Science and Engineering, 918, art. no. 012090. DOI: 10.1088/1757-899X/918/1/012090.

Yuan, Y., Han, W., Xu, X., Wang, J., & Sun, J. (2021). Permit checking of overloaded customized transport vehicle based on serviceability limit state reliability of concrete bridges. Advances in Structural Engineering, 24(5), 884-896. DOI: 10.1177/1369433220972451.

Zemenkova, M.Y., Gladenko, A.A., & Zemenkov, Y.D. (2020). Innovative intelligent technologies for predictive reliability and risk management in oil and gas transport and storage systems. AIP Conference Proceedings, 2285, art. no. 050012. DOI: 10.1063/5.0029598.

Zurek, J., Malachowski, J., Ziólkowski, J., & Szkutnik-Rogoz, J. (2020).Reliability analysis of technical means of transport. Applied Sciences, 10(9), art. no. 3016. DOI: 10.3390/app10093016.

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Published

2021-08-16

How to Cite

Muslija, A., Dašić, P., & Šenderović, J. (2021). RELIABILITY ANALYSIS OF VEHICLES IN A FLEET IN BOSNIA AND HERZEGOVINA. KNOWLEDGE - International Journal , 47(3), 449–454. Retrieved from https://ikm.mk/ojs/index.php/kij/article/view/4730