RESEARCH PAPER
Operational quality of a truck in expert's assessment
| 1 | Mechanical Engineering Faculty, Lublin University of Technology, Polska |
| 2 | Faculty of Administration and Social Science, University of Economics and Innovation in Lublin, Polska |
| 3 | Director for Development, Motor Transport Institute, Polska |
| 4 | Faculty of Transport and Computer Science, University of Economics and Innovation in Lublin, Polska |
| 5 | Faculty of Traffic and Transport Engineering, University of Belgrade, Vojvode Stepe 305, 161904 Belgrade, Serbia |
| 6 | Department of Automobile Engineering, Vilnius Gediminas Technical University, Saulėtekio al. 11, Vilnius 10221, Lithuania |
CORRESPONDING AUTHOR
Piotr Ignaciuk
Mechanical Engineering Faculty, Lublin University of Technology, Nadbystrzycka 36, 20-618, Lublin, Polska
Mechanical Engineering Faculty, Lublin University of Technology, Nadbystrzycka 36, 20-618, Lublin, Polska
Submission date: 2018-12-06
Final revision date: 2019-02-07
Acceptance date: 2019-02-19
Publication date: 2019-03-29
The Archives of Automotive Engineering – Archiwum Motoryzacji 2019;83(1):87–101
KEYWORDS
TOPICS
ABSTRACT
The article presents the results of expert assessment of the quality of three different branch of trucks in terms of their suitability for long-term rental. The expert assessment is faster and cheaper compared to the analogous evaluation obtained on the basis of operational tests, hence the purpose of this article is to assess the accuracy of the results obtained in expert studies. The reliability characteristics of vehicles, such as: readiness, probability of first failure and distribution of mileage between successive repairs, were used as parameters for empirical quality assessment. Operational tests covered three groups of 30 vehicles. As part of the research, changes in vehicle technical readiness occurring during operation were also assessed. The failures of individual functional systems of the vehicle were also analyzed, which were compared with the results of expert studies. The expert assessment was based on a questionnaire regarding the overall assessment of the reliability and performance of cars. 32 experts - appraisers, with good knowledge of the construction of cars of the tested brands participated in these studies. On the basis of comparisons of the results of the expert assessment with the results of empirical studies, conclusions were drawn regarding the correctness of the assessment made by experts.
REFERENCES (35)
1.
Aksezer C.S. Failure analysis and warranty modelling of used cars. Engineering Failure Analysis, 18/2011, s.1520-1526. DOI: 10.1016/j.enyfailanal.2011.05.009.
2.
Alam M. Reliability Analysis Using Warranty Data Consisting Only of Failure Information. The University of Electro-Communications Tokyo. Japan 2009.
3.
Barone G.,Frangopol D.M. Reliability, risk and lifetime distributions as performance indicators for life-cycle maintenance of deteriorating structures. Reliability Engineering & System Safety 03/2014s. 21-37. DOI: 10.1016/j.ress.2013.09.013.
4.
Bentkowska- Senator K., Kordel Z., Gis. W, Waśkiewicz., J., Balke I., Pawlak P. Polski transport samochodowy ładunków. Wydawnictwo Instytutu Transportu Samochodowego. Warszawa 2016.
5.
Burkov E.A., Lyubkin .L., Paderno P.I. Intellectual systems - the future of expert assessment. XX IEEE International Conference on Soft Computing and Measurements (SCM). St. Petersburg, Russia 2017. DOI: 10.1109/SCM.2017.7970487.
6.
Evens, W.J., Grant, G.R. Statistical method in bioinformatics. An introduction. Springer – Verlag, New York 2001.
7.
Gong, Z.. Estimation of mixed Weibull distribution parameters using the SCEM-UA algorithm: Application and comparison with MLE in automotive reliability analysis. Reliab. Eng. Syst. Saf. 91/2006, s. 915–922. DOI: 10.1016/j.ress.2005.09.007.
8.
Grądzki A., Lindsted P. Metoda oceny stanu zdatności obiektu technicznego w otoczeniu warunków użytkowania i obsług. Eksploatacja i Niezawodność- Maintenance and Reliability, 1/2015, s. 54-63 DOI: /10.17531/ein.2015.1.8.
9.
Ignaciuk, P., Rymarz J., Niewczas A.. et al. Effectivness of the failure rate on maintenance costs of the city buses. J. KONBiN. 35, 3/2015, s. 99–108. DOI: 10,15151-25-0043.
10.
Jiang, R. Discrete competing risk model with application to modeling bus-motor failure data. Reliab. Eng. Syst. Saf. 95/2010, s. 981–988. DOI: 10.1016/j.ress.2010.04.009.
11.
Liping HE, Chuang YIN, Weiwen PENG, Rong YUAN, Hong-Zhong HUANG. Reliability and risk assessment of aircraft electric systems. Eksploatacja i Niezawodnosc – Maintenance and Reliability Vol.16, No. 4, 2014.
12.
Młyńczak M. Metodyka badań eksploatacyjnych obiektów mechanicznych. Oficyna wydawnicza Politechniki Wrocławskiej. Wrocław 2012.
13.
Młyńczak M., Nowakowski T. Rank reliability assessment of the technical object at early design stage with limited operational data. Case Study. Proceedings of the European Conference on Safety and Reliability, ESREL'05, Gdynia 2005.
14.
Muślewski, Ł., Woropay, M., Hoppe, G. The operation quality assessment as an initialpart of reliability improvement and low cost automation of the system, Safety, Reliability and Risk Analisys, Theory, Methods and Applications – Martorell, S., Guedes Soares, C., Barnett, J.,Vol. 3, Taylor & Francis Group, London 2008.
15.
Muślewski, Ł., Woropay, M. Theoretical grounds to evaluate of the transport system operation. Proceedings of the 12th International Congress of the International Maritime Association of Mediterranean – IMAM 2005, Maritime Transportation and Exploitation of Ocean and Costal Recources – Guedes Soares, Garbatov & Fonseca, Taylor & Francis Group, London 2005.
16.
Przystupa F.W. Diagnozer w systemie technicznym. Od ontologii i aksjologii do praktyki. Oficyna Wydawnicza Politechniki Wrocławskiej, Wrocław 2010. ISBN-13 978-83-7493-525-8.
17.
Rai, B., Singh, N. A modeling framework for assessing the impact of new time/mileage warranty limits on the number and cost of automotive warranty claims. Reliability Engineering & System Safety 88/2005,s 157–169. DOI: 10.1016/j.ress.2004.07.006 Reliability, Vol. 44, No. 2, 1995.
18.
Russell, R., Taylor, B.W.I. Operations Management - 5 th Ed. John Wiley & Sons, Inc., University of Tennessee at Chattanooga 2006.
19.
Seo, S.-K., Yum, B.-J. A failure-censored life test procedure for exponential distribution. Reliability Engineering & System Safety 41/1993, s. 245–249. DOI: 10.1016/0951-8320(93)90076-B.
20.
Shariat-Mohaymany, A., Babaei, M. An approximate reliability evaluation method for improving transportation network performance. Transport 25(2/2010), s. 193–202. DOI: 10.3846/transport.2010.24.
21.
Skrzypek, E.. Jakość i efektywność. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej, Lublin 2000.
22.
Smith D.J., Reliability, Maintainability and Risk. Elsevier Ltd., Amsterdam 2005, eBook ISBN: 9780081020227.
23.
Stapelberg R.F. Handbook of reliability, availability, maintainability and safety in engineering design. Springer Verlag, London 2009.
24.
Suh, N. P. Designing-in of Quality Through Axiomatic Design, IEEE, Transactions on.
25.
Villemeur A. Reliability, Availability, Maintainability and Safety Assessment. John Wiley & Sons, Inc. Chichester, New York, Brisbane, Toronto, Singapore 1992.
26.
Vincke P. Outranking Approach. W. Gel T., Stewart T.J., HanneT. (red). Multicriteria Decision Making. Advances in MCDM Models, algorithms, Theory and Applications. Kluwer Academic Publisher, Boston 1999.
27.
Wasiak M. Problem decyzyjny doboru pojazdów a koszty logistyczne oraz ekonomiczna wielkość zamówień. Prace Naukowe Politechniki Warszawskiej. Transport, Warszawa 2016.
28.
Ważyńska – Fiok, K., Jaźwiński, J. Niezawodność systemów technicznych. Państwowe Wydawnictwa Naukowe, Warszawa 1990.
30.
Woropay M. et al. Model oceny i kształtowania gotowości operacyjnej podsystemu utrzymania ruchu w systemie transportowym. Wydawnictwo Instytutu Technologii Eksploatacji, Radom 2003.
31.
Woropay, M., Muślewski Ł. Jakość w ujęciu systemowym. Instytut Technologii Eksploatacji - Państwowy Instytut Badawczy w Radomiu, Radom 2005.
32.
Yadav, O.P., Zhuang, X. A practical reliability allocation method considering modified criticality factors. Reliability Engineering & System Safety. 129/2014, s. 57–65. DOI: 10.1016/j.ress.2014.04.003.
33.
Ystskiv I. et all. Urban public transport system's reliability estimation using microscopic simulation. Transp. Telecommin. 13, 3/2012, s. 219-228. DOI: 10.2478/v10244-012-0018-4.
34.
Yuan, X., Lu, Z. Efficient approach for reliability-based optimization based on weighted importance sampling approach. Reliability Engineering & System Safety. 132/2014,s. 107–114. DOI: 10.1016/j.ress.2014.06.015.
35.
Żak J. Wielokryterialne wspomaganie decyzji w transporcie drogowym. Wydawnictwo Politechniki Poznańskiej, Poznań 2005.
RELATED ARTICLE
Korzystamy z plików cookie (oraz innych podobnych technologii) i przetwarzamy unikalne identyfikatory oraz dane przeglądarki – w celu umożliwienia funkcjonowania naszej strony internetowej. Więcej informacji o tym jak przetwarzamy Twoje dane osobowe znajdziesz w