UDC: 656.073.7
https://doi.org/10.25198/2077-7175-2024-2-56
EDN: EOPSZH
LEAN THINKING AND SITUATIONAL MANAGEMENT IN ASSESSING THE LOSS OF CARRYING CAPACITY OF A VEHICLE FLEET
V. M. Kurganov
Tver State University, Tver, Russia
e-mail: glavreds@gmail.com
V. I. Rassokha
Orenburg State University, Orenburg, Russia
e-mail: cabin2012@yandex.ru
M. V. Gryaznov
Nosov Magnitogorsk State Technical University, Magnitogorsk, Russia
e-mail: gm-autolab@mail.ru
A. N. Dorofeev
Financial University under the Government of the Russian Federation, Moscow, Russia
e-mail: andorofeev@fa.ru
Abstract. When planning daily shifts in a motor transport enterprise, the main task is to maximize the use of the vehicle fleet’s carrying capacity, estimated by the amount of cargo that can be transported per shift (day) in the absence of all types of unproductive losses. The solution to this problem can be found within the framework of the concept of lean thinking, the center of which is the identification and elimination of unproductive losses. To identify the factors that caused losses, causal research is used, an example of which, along with others, is the situational approach. The problematic situation is a cause-and-effect complex of factors, the elimination of which ensures an increase in the efficiency of cargo transportation. The situation model contains a quantitative assessment of the goal of eliminating the problem situation, technical and operational indicators characterizing certain types of losses and recommended measures to eliminate them. The purpose of the study is to develop tools for assessing losses in the carrying capacity of a vehicle fleet, based on situational modeling in the implementation of the principles of lean thinking in relation to the transportation of metallurgical cargo. The study used methods of situational analysis, mathematical modeling, and analysis of technical and operational indicators of the transport process. To study the state of the issue, an analysis of scientific literature was carried out. The main results of scientific novelty are: a situational model of vehicle fleet capacity losses; coefficients of loss of vehicle fleet carrying capacity when transporting metallurgical cargo. Calculation of vehicle fleet capacity loss coefficients must be made using the capabilities of intelligent navigation control systems.
Further research is expected to be conducted in the direction of developing specific applications of the concept of lean thinking and situational approach to increasing the efficiency of cargo transportation, as well as in the direction of developing digital systems for managing road transport.
Key words: truck transportation, lean thinking, situational approach, fleet carrying capacity, metallurgical cargoes.
Cite as: Kurganov, V. M., Rassokha, V. I., Gryaznov, M. V., Dorofeev, A. N. (2024) [Lean thinking and situational management in assessing the loss of carrying capacity of a vehicle fleet]. Intellekt. Innovacii. Investicii [Intellect. Innovations. Investments]. Vol. 2, pp. 56–65. – https://doi.org/10.25198/2077-7175-2024-2-56.
References
- Vlasov, V. M., Kudryavtsev, A. A., Voronov, P. O. (2021) [Development of a criterion for the quality of operation of navigation dispatch control systems for transportation control in urban passenger transport]. Novosti navigatsii [Navigation News]. Vol. 2, pp. 52–58. (In Russ.).
- Dorofeev, A. N., Kurganov, V. M. (2022) [Dynamic model of the functioning of a motor transport enterprise]. Mir transporta i tekhnologicheskikh mashin [World of transport and technological machines]. Vol. 3–4, pp. 132–138. – http://doi.org/10.33979/2073-7432-2022-4(78)-3-132-138. – EDN: GMMJZS. (In Russ.).
- Ivashinnikov, A. V., Nyamtsu, A. M., Shupletsova, V. A. (2019) Berezhlivoye proizvodstvo v zdravookhranenii [Lean production in healthcare]. Tyumen: RIC «Ivex». 80 p.
- Ishikawa, K. (1988) Yaponskiye metody upravleniya kachestvom [Japanese methods of quality management]. Moscow: Publishing House «Economy». 199 p.
- Kurganov, V. M. (2003) Situatsionnoye upravleniye avtomobil’nymi perevozkami [Situational management of automobile transportation]. Moscow: Publishing house «MADI (GTU) Techpoligraphcenter, 197 p. – EDN: QQBWJZ.
- Mukaev, V. N. (2023) [Methodology for increasing the productivity of cars during transport maintenance of a metallurgical enterprise]. Intellekt. Innovacii. Investicii. [Intellect. Innovation. Investments]. Vol. 4, pp. 58–71. – http://doi.org/10.25198/2077-7175-2023-4-58. (In Russ.).
- Novikov, A. N. et al. (2021) [Problems of introducing intelligenttransport systems in the regions]. Mir transporta i tekhnologicheskikh mashin[World of transport and technological machines]. Vol. 1 (72), pp. 47–55. – https://doi.org/10.33979/2073-7432-2021-72-1-47-54. – EDN: LJEINH. (In Russ.).
- Rassokha, V. I. (2010) [Situational management of motor transport systems. Scheme and scenarios for managing urban passenger transport]. Vestnik Orenburgskog ogosudarstvennogo universiteta. [Bulletin of the Orenburg State University]. Vol. 4, pp. 142–146. – EDN: MLZQRX. (In Russ.).
- Filippova, N. A., Vlasov, V. M., Belyaev, V. M. (2019) [Navigational control of cargo delivery in the conditions of the north of Russia]. Mir transporta [World of transport]. Vol. 17. No. 4 (83), pp. 218–231. – https://doi.org/10.30932/1992-3252-2019-17-4-218-231. – EDN: HWBAGR. (In Russ.).
- Forrester, J. (1970) Osnovy kibernetiki predpriyatiya (Industrial’naya dinamika) [Fundamentals of enterprise cybernetics (Industrial dynamics)]. Moscow: Progress Publishing House. 340 p.
- Chernov, A. G. (2021) [Development of methods for applying the principles and tools of lean production in the field of education]. Sbornik materialov nauchno-prakticheskoy konferentsii «Berezhlivyyetekhnologii v obrazovanii: teoriya i praktika» [Collection of materials of the scientific and practical conference «Lean technologies in education: theory and practice»]. Nizhny Novgorod: NP PC «Logos»]. pp. 12–19. (In Russ.).
- Shibanova, A. A. (2020) [«Lean thinking» in public sector organizations]. Industrial’nayaekonomika. [Industrial Economics]. Vol. 4, pp. 30–34. – https://doi.org/10.475776/2712-7559_2020_4_30. (In Russ.).
- Garza-Reyes, J. A. et al. (2017) Improving Road Transport Operations using Lean Thinking. 27th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM2017, 27–30 June 2017, Modena, Italy. Procedia Manufacturing, Vol. 11. No. 2, pp. 1900–1907. – https://doi.org/10.1016/j.promfg.2017.07.332. (In Eng.).
- Hamoudi, K., Bellaouar, A., Petiot, R. (2021) A Model of System Dynamics for physical flow analysis in distribution supplty chain. Transport and Telecommunication, Vol. 22, No. 1, pp. 98–108. – https://doi.org/10.2478/ttj-2021-0008. (In Eng.).
- Martichenko, R., Taylor, L. (2006) M. Lean Transportation – Fact or Fiction? FedEx Services, LeanCor, LLC, 7 p. (In Eng.).
- Villarreal, B. et al. (2016) Improving Road Transport Operations through Lean Thinking: A Case Study. International Journal of Logistics Research and Applications, Vol. 20, Is. 2, pp. 163–180. (In Eng.).
- Villarreal, B., Garza-Reyes, J. A., Kumar, V. (2016) Lean road transportation – A systematic method for the improvement of road transport operations. Production Planning & Control, Vol. 27, No. 11. pp. 865–877. – https://doi.org/10.1080/09537287.2016.1152405. (In Eng.).