DOI: https://doi.org/10.15587/2312-8372.2015.47954

Development of a model for international cargo delivery process

Vitalii Naumov

Abstract


In the conditions of growing level of competition and transportation volumes, the task of the assessment of demand parameters impact on carriers expenses becomes particular important when choosing the optimal technological schemes. At the same time the random nature of the transportation process and the limitations imposed by existing laws and acts regulating international road transport should be taken into account in the mathematical model. Existing methods of rationalization of cargo delivery process have some disadvantages due to which their use in the conditions of transport enterprises at the contemporary market is inefficient. The majority of existing methods and models for rationalization of the delivery schemes do not consider the probabilistic characteristics of transport process parameters, and that reduces the efficiency of managerial and organizational decisions. The proposed mathematical models allow us to take into account the random nature of the process of international cargo delivery, if the appropriate statistical data on time parameters and speed of the vehicle are available. Proposed approach allows defining the impact of stochastic demand parameters on operating costs of the transport firm and, as a result, – choosing the appropriate rational schemes of transport servicing.

Keywords


international cargo delivery; mathematical model; Markov’s chains; regression analisys

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References


Road Transport – A change of gear. (2012). Luxembourg: Publications Office of the European Union, 16.

Tubis, A., Szozda, N. (2010). The improvement of the supply process for the variable demand goods. Logistics and Transport, 1 (10), 49–56.

Raczyk, R. (2010). The organization of materials handling in a distribution plant. Transport Problems, 5 (2), 65–70.

Vidyarthi, N., Çelebi, E., Elhedhli, S., Jewkes, E. (2007). Integrated Production-Inventory-Distribution system design with risk pooling: Model formulation and heuristic solution. Transportation Science, 41 (3), 392–408. doi:10.1287/trsc.1060.0173

Koźlak, J., Creput, J.-C., Hilaire, V., Koukam, A. (2006). Multi-agent approach to dynamic pick-up and delivery problem with uncertain knowledge about future transport demands. Fundamenta Informaticae, 71 (1), 27–36.

Bock, S. (2010). Real-time control of freight forwarder transportation networks by integrating multimodal transport chains. European Journal of Operational Research, 200 (3), 733–746. doi:10.1016/j.ejor.2009.01.046

Naumov, V. (2012). Freight forwarding in logistics systems. Kharkiv: KhNADU, 220.

Naumov, V. (2012). Definition of the optimal strategies of transportation market participators. Transport Problems, 7 (1), 43–52.

Naumov, V. (2014). An approach to modelling of demand on freight forwarding services. Trip Modelling and Demand Forecasting, 1 (103), 267–277.

Bergami, R. (2012). Incoterms 2010: The newest revision of delivery terms. Acta Universitatis Bohemiae Meridionales, 15 (2), 33–40.


GOST Style Citations


Road Transport – A change of gear [Text]. – Luxembourg: Publications Office of the European Union, 2012. – 16 p.

Tubis, A. The improvement of the supply process for the variable demand goods [Text] / A. Tubis, N. Szozda // Logistics and Transport. – 2010. – Vol. 1, № 10. – P. 49–56.

Raczyk, R. The organization of materials handling in a distribution plant [Text] / R. Raczyk // Transport Problems. – 2010. – Vol. 5, № 2. – P. 65–70.

Vidyarthi, N. Integrated Production-Inventory-Distribution system design with risk pooling: Model formulation and heuristic solution [Text] / N. Vidyarthi, E. Çelebi, S. Elhedhli, E. Jewkes // Transportation Science. – 2007. – Vol. 41, № 3. – P. 392–408. doi:10.1287/trsc.1060.0173

Koźlak, J. Multi-agent approach to dynamic pick-up and delivery problem with uncertain knowledge about future transport demands [Text] / J. Koźlak, J.-C. Creput, V. Hilaire, A. Koukam // Fundamenta Informaticae. – 2006. – Vol. 71, № 1. – P. 27–36.

Bock, S. Real-time control of freight forwarder transportation networks by integrating multimodal transport chains [Text] / S. Bock // European Journal of Operational Research. – 2010. – Vol. 200, № 3. – P. 733–746. doi:10.1016/j.ejor.2009.01.046

Naumov, V. Freight forwarding in logistics systems [Text]: monograph / V. Naumov. – Kharkiv: KhNADU, 2012. – 220 p.

Naumov, V. Definition of the optimal strategies of transportation market participators [Text] / V. Naumov // Transport Problems. – 2012. – Vol. 7, № 1. – P. 43–52.

Naumov, V. An approach to modelling of demand on freight forwarding services [Text] / V. Naumov // Trip Modelling and Demand Forecasting. – 2014. – Vol. 1, № 103. – P. 267–277.

Bergami, R. Incoterms 2010: The newest revision of delivery terms [Text] / R. Bergami // Acta Universitatis Bohemiae Meridionales. – 2012. – Vol. 15, № 2. – P. 33–40.







Copyright (c) 2016 Vitalii Naumov

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ISSN (print) 2664-9969, ISSN (on-line) 2706-5448