CONFORMANCE RATING FOR LOCOMOTIVE REPAIR PRODUCTIONS
DOI:
https://doi.org/10.15802/stp2017/103937Keywords:
locomotive repair production, locomotive, level, index, conformance, unit, technological process, expert, significanceAbstract
Purpose. Inspection and observation of the technical level of rail locomotive repair productions are conducted by the management team of the Department and the Locomotive division, audit sectors, expert groups within the production certification procedure. The faults revealed are fixed as linguistic expert reports which cannot assess their significance and identify priorities in terms of elimination. The paper aimed the development of methods for the conformance rating for locomotive repair production to legal requirements with conformance level determination. Methodology. Formalization of linguistic reports on the locomotive repair facility conformance takes into account the influence of a whole number of factors, their significance being determined by the expert assessment, formalized models of events when designing and analyzing the fault tree. In order to calculate the conformance, index the triple additive convolution with the weight coefficient is proposed. Investigation into interrelation between the integral index and the locomotive maintenance costs was conducted by methods of the correlation and regression analysis. Findings. The analysis of results of inspection and observation of the technical level of locomotive repair productions demonstrated a similar structure of expert reports on faults, which made it possible to present them as a vector. While transforming a multi-criterion problem into a single-criterion one of the most objective method, the weighted sum method, was applied. The conformance indices were calculated according to the results of observations on several locomotive repair productions. The correlation and regression analysis proved the influence of the conformance index of locomotive repair productions on locomotive maintenance overconsumption. Originality. The conformance rating methods for a technical level of locomotive repair productions based on linguistic expert reports which consider type of the fault detected, type of the technological process, type of the locomotive unit and type of the technical level of production have been designed. Practical value. Implementation of the methods designed will help undertake assessment of the faults detected, eliminate them according to the priority and invest more effectively in locomotive repair productions. The regressive equations obtained allow standardizing the conformance index and forecasting possible locomotive maintenance overconsumption by the results of inspection at repair productions.References
Bodnar, B. Y. (2002). Modelirovaniye tekhnologiy remonta tekhnicheskikh obektov. Vestnik natsionalnogo transportnogo universiteta i Transportnoy akademii Ukrainy, 6, 10-14.
Bodnar, B. Y., & Kapitsa, M. I. (2012). Obhruntuvannia kryteriiu efektyvnosti funktsionuvannia remontnoho pidrozdilu depo promyslovoho pidpryiemstva. Abstracts of the 72 International Scientific & Practical Conference “The problems and prospects of railway transport development”, Dnepropetrovsk, April 19-20, 2012. (pp. 12). Dnipropetrovsk: Dnipropetrovsk National University of Railway Transport named after Academician V. Lazaryan
Bodnar, B. E., Kapitza, M. I., & Korenyuk, R. A. (2012). Structural-functional analysis of rolling stock repair of industrial enterprises. Bulletin of Dnipropetrovsk National University of Railway Transport named after Academician V. Lazaryan, 42, 70-73.
Datsun, Y. M. (2016). Determination of the degree of influence of repair processes on serviceability of units of the traction rolling stock. Eastern-European Journal of Enterprise Technologies, 1 (7) (79), 56-61. doi: 10.15587/1729-4061.2016.59878
Datsun, Y. M. (2016). Research of the elements of the organizational-technical level of locomotive repair productions based on cognitive maps. Collected scientific works of Ukrainian State University of Railway Transport, 160, 105-111.
Datsun,Y. M. (2015). Otsinka parametriv vidmov vuzliv lokomotyviv pry vyznachenni yikh systemy tekhnichnoho obsluhovuvannia ta remontu. Abstracts of the 77 International Conference «The development of research and innovation in transport», Kharkiv, April 21-23, 2015. (pp. 69). Kharkiv: Ukrainian State University of Railway Transport.
Fartyshev, Y. M., Kuznetsov, M. M., Gauttsel, A. K., & Yazykov, V. Y. (2015). Control of technological discipline as a condition for the stability of the production process. Interexpo Geo-Siberia, 3, 214-218.
Ukrzaliznytsia. (2007). Polozhennia z atestatsii pidpryiemstv z obsluhovuvannia ta remontu tiahovoho rukhomoho skladu TsT-0162. Kyiv: Ukrzaliznytsia.
Rekomendatsii. Kontrol tekhnologicheskoy distsipliny. Obshchiye polozheniya. R 50-609-48-88. (1989). Gorky: Gorky branch of the Institute for normalization in mechanical engineering.
Mitreva, E., Nikolov, Е., Nikolova, В., Taskov, N., & Dimitrov, N. (2016). Methodology for Optimizations of Business Processes in Macedonian Railways – Transport in the Republic of Macedonia. Mediterranean Journal of Social Sciences, 7(3 S1), 394-402. doi: 10.5901/mjss.2016.v7n3s1p394
Mikosa, W., & Ferreira, J. (2007). Knowledge Sharing and Reuse in Potential Failure Mode and Effects Analysis in the Manufacturing and Assembly Processes (PFMEA) Domain. In G. Loureiro, & R. Curran (eds.), Complex Systems Concurrent Engineering (рр. 461-468). London: Springer. doi: 10.1007/978-1-84628-976-7_51
Branke, J., Deb, K., Miettinen, K., & Slowinski, R. (2008). Multiobjective Optimization: Interactive and Evolutionary Approaches. Berlin: Springer.
Rachieru, N., Belu, N., & Anghel, D. (2013). Improvement of Process Failure Mode and Effects Analysis using Fuzzy Logic. Applied Mechanics and Materials, 371, 822-826. doi: 10.4028/www.scientific.net/amm.371.822
Sładkowski А. (Ed.). (2017). Rail Transport – Systems Approach. In Studies in Systems, Decision and Control (Vol. 87). Cham: Springer International Publishing AG. doi 10.1007/978-3-319-51502-1
Stadler, W. (1988). Multicriteria optimization in engineering and in the sciences. New York: Plenum Press.
Fishburn, P. C. (1970). Utility Theory for Decision Making. New York: Wiley.
Zhang, H. (2014). Research on the Measurement of Enterprise Technological Innovation Capability Model based on Information Axiom. International Journal of Multimedia and Ubiquitous Engineering, 9(7), 319-332. doi: 10.14257/ijmue.2014.9.7.27
Downloads
Published
How to Cite
Issue
Section
License
Copyright and Licensing
This journal provides open access to all of its content.
As such, copyright for articles published in this journal is retained by the authors, under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0). The CC BY license permits commercial and non-commercial reuse. Such access is associated with increased readership and increased citation of an author's work. For more information on this approach, see the Public Knowledge Project, the Directory of Open Access Journals, or the Budapest Open Access Initiative.
The CC BY 4.0 license allows users to copy, distribute and adapt the work in any way, provided that they properly point to the author. Therefore, the editorial board of the journal does not prevent from placing published materials in third-party repositories. In order to protect manuscripts from misappropriation by unscrupulous authors, reference should be made to the original version of the work.