Stochastic Modeling for Transport Logistics

Procedia Computer Science. Vol.149: ICTE in Transportation and Logistics 2018 (ICTE 2018) 2019
Jevgeņijs Carkovs, Andrejs Matvejevs, Aleksandrs Matvejevs, Albert Kubzdela

This paper deals with a logistic system consisting of a wholesale store, a retail store and automobiles that are taking part in goods delivery from a wholesale store to a retail store. Assuming random and coming at random time moments demands, we construct a stochastic model for this transport logistic scheme and derive Gaussian approximation for transport and stock level of goods dynamics.

Keywords
Diffusion approximation, Gaussian approximation, Logistic system, Markov process, Transport logistics scheme
DOI
10.1016/j.procs.2019.01.162
Hyperlink
https://www.sciencedirect.com/science/article/pii/S187705091930170X?via%3Dihub

Carkovs, J., Matvejevs, A., Matvejevs, A., Kubzdela, A. Stochastic Modeling for Transport Logistics. In: Procedia Computer Science. Vol.149: ICTE in Transportation and Logistics 2018 (ICTE 2018), Lithuania, Klaipeda, 1-1 January, 2019. Amsterdam: Elsevier, 2019, pp.457-462. ISSN 1877-0509. Available from: doi:10.1016/j.procs.2019.01.162

Publication language
English (en)