THE APPLICATION OF INTEGRATED INDICATORS OF THE OPERATOR’S SUITABILITY WHILE MAKING UP WAGONS INTO A TRAIN


Cite item

Full Text

Abstract

The article discusses the possibility of reducing operational costs ways exhalations for processing molasses cars through the development of support systems decision making by operational staff in the formation of a train of cars of different operators and the proposed method of data selection operators. There were analyzed the routes of the cars in the ways exhalations about six hundred fifteen thousand cars, established relationships, factors affecting key economic indicators and the cost of processing the stream of cars on the tracks exhalations.

The authors proposed to estimate the operators of rolling stock forming part of a train on the tracks exhalations on three main criteria: cost, speed, quality. For each indicator identified quantitative and qualitative factors affecting the changes in them as composed of a matrix of pair wise comparisons and defined the normalized vectors of priorities matrix for these indicators. The influence of these factors in the developed model the choice of rolling stock operators for paths exhalations were made using the theory of fuzzy sets. For each factor were identified its possible values, built membership function, reflecting the degree of preference of these factors.

For further task - forming composition of the trains on the tracks exhalations cars of different operators are encouraged to develop software that will calculate the increase or decrease in operating costs depending on the performance of the rolling stock operators in the current time. This product should help control apparatus to determine the number and name of the rolling stock operators for each train in a reasonable time.

About the authors

Alfia Danisovna Sirazetdinova

Krasnoyarsk Institute of Railway Transport, branch of Irkutsk State University of Railway Engineering, Krasnoyarsk

Author for correspondence.
Email: sirazetdinova_ad@krsk.irgups.ru

candidate of technical sciences, assistant professor of the Department of Railway operation

Russian Federation

Sergey Andreevich Zolotarev

Krasnoyarsk Institute of Railway Transport, branch of Irkutsk State University of Railway Engineering, Krasnoyarsk

Email: zolotarev_sa@krsk.irgups.ru

engineer of the Department of telecommunications, post-graduate student of the Department of Mathematical and Natural Sciences

Russian Federation

References

  1. Rolling stock owners. URL: yuzd.rzd.ru/static/public/ru?STRUCTURE_ID=4111 (дата обращения: 29.08.2014).
  2. Bugaev A.V. Vibor optimalnih metodov organizatsii raboti promishlennih transportnih system. Diss. kand. tehn. nauk [Selection of optimal methods of work organization of industrial transportation systems]. Мoscow, 1984, 234 p.
  3. Zhuravin S.G. Vzaimodeystvie proizvodstvennih podrazdeleniy i promishlennogo zheleznodorozhnogo transporta v usloviyah intensifikatsii. Diss. kand. tehn. nauk [Interaction of production departments and industrial railway transport under the intensification conditions]. Moscow, 1987, 268 p.
  4. Kozlov P.A. Dynamic reserves of adaptive industrial transportation systems. Sbornik nauchnih trudov Moskovskogo instituta zheleznodorozhnogo transporta, Moscow, 1983, vol. 718, pp. 26–38.
  5. Новые формы транспортного обслуживания промышленных предприятий. Trudi VNIIZhT, Moscow, 1964, vol. 281, 102 p.
  6. Platonov A.N. Повышение качества транспортного обслуживания предприятий при расширении границ взаимодействия магистрального и промышленного транспорта. Sbornik tezisov dokladov nauchno-tehnicheskoy konferentsii “Transsib-100”, Novosibirsk, 1991, pp. 71–72.
  7. Sotnikov E.A., Shenfeld K.P. Irregularity of freight transportation under contemporary conditions and its influence on required traffic capacity of line sections. Vestnik nauchno-issledovatelskogo instituta zheleznodorozhnogo transporta, 2011, no. 5, pp. 3–9.
  8. Trofimov S.V. Vibor optimalnih metodov operativnogo upravleniya rabotoy promishlennogo zheleznodorozhnogo transporta. Diss. kand. tehn. nauk [Selection of optimal methods of operative control of industrial transportation systems activity]. Moscow, 1990, 194 p.
  9. Zolotarev S.A. The necessity of studying laws of distribution of rolling stock turnover within the uncommon use railways. Sbornik nauchnih trudov SWorld, 2013, vol. 2, no. 4, pp. 8–13.
  10. Fufacheva M.V., Sirazetdinova A.D. The rolling stock owner choice methods for efficient work with non-public railway track of car traffic volume. Nauchno-tehnichesky vestnik Povolzhya, 2012, no. 6, pp. 413–416.
  11. Sirazetdinova A.D. Metodika upravleniya vagonopotokami na putyah neobshchego polzovaniya, uchityvayushchaya operativnuyu zagruzhennost stantsiy. Diss. kand. tehn. nauk [Methods of car traffic volume control within the uncommon use railways considering the active workload of stations]. Ekaterinburg, 2010, 122 p.
  12. Nedosekin A.O. Application of fuzzy-sets theory when solving the tasks of finance management. Audit i finansoviy analiz, 2000, no. 2, pp. 26–37.
  13. Sirazetdinova A.D., Pytaleva O.A. Application of fuzzy-sets theory for determination of loading level of transportation network elements. Avtotransportnoe predpriyatie, 2009, no. 11, pp. 54–55.
  14. Malishev I.A. Razrabotka intellektualnoy sistemi podderzhki prinyatiya ekonomicheskih resheniy na osnove metodov teorii nechetkih mnozhestv. Diss. kand. ekon. nauk [Development of the intelligent support system for economic decisions- making on the base of the methods of fuzzy-sets theory]. Volgograd, 2006, 156 p.
  15. Ogurtsov A.N., Staroverova N.A. Algorithm of improvement of expert evaluations consistency within the method of hierarchy analysis. Vestnik Ivanovskogo gosudarstvennogo energeticheskogo universiteta, 2013, no. 5, pp. 81–84.
  16. Orlov A.I. Teoriya prinyatiya resheniy [Decision theory]. Moscow, Mart publ., 2004, 567 p.
  17. Нормализованный вектор. Osovsky S. Neyronnie seti dlya obrabotki informatsii [Нейронные сети для обработки информации]. Moscow, 2002, p. 229.
  18. Ryzhakov V.V., Ryzhakov M.V. Membership functions of fuzzy sets elements on the universal scales adapted by various onto functions. Oboronniy kompleks – nauchno-tehnicheskomu progressu Rossii, 2009, no. 3, pp. 93–97.
  19. Qaid W.A. Methods construction membership function of fuzzy sets. Izvestiya Yuzhnogo federalnogo universiteta. Tehnicheskie nauki, 2013, no. 2, pp. 144–153.
  20. Saati T.L. Prinyatie resheniy. Metod analiza ierarhiy [Decision-making. Method of hierarchy analysis]. Moscow, Radio i svyaz publ., 1993, 320 p.

Supplementary files

Supplementary Files
Action
1. JATS XML

Copyright (c)



This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies