Logistic technology to deliver raw material for metallurgical production

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Authors:

S.M. Turpak, Doctor of Engineering, Professor,Zaporizhzhya National Technical University,Professor of the Department of Transport Technology, Zaporizhzhia, Ukraine, e-mail: turpak@i.ua, orcid.org/0000-0003-3200-8448

I.O. Taran, Doctor of Technical Sciences, Professor,National Mining University,Head ofthe Department of Transport Management,Dnipro, Ukraine,orcid.org/0000-0002-3679-2519

O.V. Fomin, Doctor of Technical Sciences, Associate Professor, State University of Transport Economy and Technologies, Professor of the Department of Railcars and Carriage Facilities, Kyiv, Ukraine, orcid.org/0000-0003-2387-9946

O.O. Tretiak, Candidate of Technical Sciences, Associate Professor, National Mining University, Associate Professorof the Department of Transport Management,Dnipro, Ukraine, orcid.org/0000-0002-6991-0235

Abstract:

Purpose. To formalize logistic systems and technologies concerning the management of cargo delivery in terms of metallurgical production taking into consideration interaction between motor transport and railway transport. It is required to develop a logistic technology to manage transport generalizing efficiency indices and making it possible to optimize functioning of general transportation system of an enterprise.

Methodology. System analysis and logistic approach have been used. Transportation system of an enterprise has been analyzed from the viewpoint of logistics. The analysis makes it possible to integrate efficiency indices of functioning of certain subsystems of the general micrologistic system. Objective function and general model of transportation system optimization have been determined.

Findings. Logistic technology providing optimization of the parameters of transportation system functioning according to general logistic criterion has been represented. Micrologistic systems have been singled out; tendencies to control the delivery aimed at providing functional efficiency of transportation system of an enterprise have been determined. Parameters and factors determining the parameters of transportation efficiency to the fullest extent being the basis of developing logistic transportation systems of enterprises have been identified.   

Originality. A system to control enterprise transport has been formalized from the viewpoint of a system approach and logistic technology providing high-efficiency transportation has been determined. Management efficiency is estimated according to the logistic criterion involving all expenses connected with cargo delivery.    

Practical value. A system of managerial decision-making has been developed. The system is based upon logistic technology optimizing functional parameters of the enterprise transport.

References.

1. Gritcay, S., Lashenyh, A., Turpak, S., Ostrohlyad, E. and Kharchenko, T., 2017. The effect of methods of eliminating spikes in the time series of freight flows on their statistical characteristics Eastern-European Journal of Enterprise Technologies, 1/3(85), pp 33‒39.

2. Anbuudayasankar, S. P., Ganesh, K. and Mohapatra, S., 2014. Models for Practical Routing Problems in Logistics. Design and Practices Springer International Publishing, Switzerland.

3. Blanchard, D., 2010. Supply chain management: best practices. Wiley. Available at: <http://lib.vcomsats.edu.pk/library/MGT563/Course%20Contents/HANDOUTS/SCM%20Best%20Practices.pdf> [Accessed 27 December 2017].

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5. Stadtler, H., Kilger, C. and Meyr, H., 2015 Supply Chain Management and Advanced Planning: Concepts, Models. Software, and Case Studies, Springer.

6. Kolga, A., Rakhmangulov, A., Osintsev, N., Sladkowski, A. and Stolpovskikh, I., 2015. Robotic transport complex of automotive vehicles for handling of rock mass at the process of open cast mining.Transport problems, 10/2, pp.109‒116.

7. Coyle, John J., Novak, R. and Gibson, B., 2013. Transportation: A Global Supply Chain Perspective. Amason : Kindle Edition.

8. Bulgakova, J., 2016. Decision making on cargo-flows management in integrated production and transportation system. Transport problems, 11/4, pp. 83‒94.

9. Lashenyh, A., Turpak, S., Gritcay, S., Vasileva, L. and Ostrohlyad, E., 2016. Development of mathematical models for planning the duration of shunting operations. Eastern-European Journal of Enterprise Technologies. 5/3(83), pp. 40‒46.

10. Parunakjan, V. and Sizova, E., 2013. Designing of logistical chains inside production and transport system of metallurgical enterprise. Transport problems, 8/1, pp. 35‒45.

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ISSN (print) 2071-2227,
ISSN (online) 2223-2362.
Journal was registered by Ministry of Justice of Ukraine.
Registration number КВ No.17742-6592PR dated April 27, 2011.

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