期刊名称：Eastern-European Journal of Enterprise Technologies
印刷版ISSN：1729-3774
电子版ISSN：1729-4061
出版年度：2018
卷号：5
期号：3
页码：70-79
DOI：10.15587/1729-4061.2018.142523
语种：Russian
出版社：PC Technology Center
摘要：stock load along the same transportation system. The criterion evaluates the level of gain in the added value of goods as a result of the delivery of goods within a retail network under condition of minimizing the cost of transporting one ton. We have designed an extreme plan for the full-factor experiment with three levels of parameter variation. It was determined that demand for transportation within a retail chain in a big city is discrete in character. A statistical analysis of the volumes of a transportation order has allowed us to draw a conclusion on the possibility to describe a given magnitude using a binomial distribution law. An experiment was conducted using a service polygon of the retail chain’s customers in a large city. Based on 9 constructed alternative last mile logistics systems, we investigated the influence of transportation demand variability on forming the levels of vehicles’ load along routes. The statistical data received provided the basis for calculating the cost of transporting one ton of cargo and estimating the size of the excessive added value to goods. We have assessed the level of variability in the size of the total and the mean added value of goods. It was determined that the transportation process within a retail chain can generate a gain in the total added value across the entire chain amounting to 444.5 percent (12 routes within a transportation system) with the mean value for one multi-stop route of 37.03 percent. We present assessment of the effective area of the last mile logistics, which is guaranteed under condition for a slight fluctuation in the level of vehicles’ load. This corresponds to the value for a variation coefficient of the rolling stock load in the range from 0 to 10 percent. Along with this, it has been established that the most sensitive to fluctuations in the volume of order is the rolling stock of small and medium cargo capacity.
