Assessing the impact of parameters for the last mile logistics system on creation of the added value of goods
Journal Title: Восточно-Европейский журнал передовых технологий - Year 2018, Vol 5, Issue 3
Abstract
<p class="a"><span lang="EN-US">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 fullfactor 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 multistop 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.</span></p>
Authors and Affiliations
Alexander Rossolov, Nadezhda Popova, Denis Kopytkov, Halyna Rossolova, Helen Zaporozhtseva
Keywords
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- EP ID EP528164
- DOI 10.15587/1729-4061.2018.142523
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