Abstract

We have studied the influence of changing production conditions and components of transportation processes on the need in specialized vehicles in the milk harvesting systems. Based on the prediction of the daily volumes of milk harvesting from family dairy farms, it was found that there are two periods of milk delivery over a calendar year ‒ the intensive (from May to September) and non­intensive (remaining months of the year). Based on timing the transportation processes using the road tanks Hyundai HD­65 STD+G6­OTA­3.9, we performed production experiments. It was established that the durations of transportation operations are described by the Weibull distribution law. Specific durations of loading the road tanks Hyundai HD­65 STD+G6­OTA­3.9 at family dairy farms and their unloading at a processing plant have a mathematical expectation of 0.92 and 0.52 h/t of milk, respectively, and their mean deviation ‒ 0.018 and 0.008 h/t of milk. Using production conditions at Brodovskyi Region in Lvov Oblast, Ukraine, as an example, we conducted the simulation of transportation processes of milk delivery from producers to a processing plant taking into consideration the changing production conditions and the components transportation processes. It was established that an increase in the daily volumes of milk harvesting from 6 to 66 tons/day leads to an increase in the estimates of mathematical expectation of the total daily quantity of routes traveled by the road tanks Hyundai HD­65 STD+G6­OTA­3.9, in line with a linear dependence. The mileage of these road tanks and the duration of their utilization grow at an increase in the daily volumes of milk harvesting according to the polynomial dependences of second power. The cargo turnover varies partially discretely from 820 to 4,610 t·km, due to a change in the technological need in road tanks. It was established that a need in the specialized vehicles Hyundai HD­65 STD+G6­OTA­3.9 over a calendar year changes from 1 to 4 units. In this case, execution of transportation processes from January to March and from October to December within a separate calendar year should be organized in one shift, and from April to September, in two shifts. The derived distributions of the changing components of production conditions and transportation processes, as well as the dependences of road tanks utilization on the volumes of milk harvesting, underlie the creation of an information decision support system in the milk harvesting systems. In addition, they form the basis for planning the work of a fleet of specialized vehicles and for designing the systems of milk harvesting.

Highlights

  • At present, Ukraine faces the unresolved problem of food security

  • We investigated production conditions during milk harvesting using the example of logistics systems of milk harvesting (LSMH), which is limited to the territory of the Brodivskyi Region, Lviv Oblast, Ukraine

  • It was established that the intensive period of transportation operations lasts from May to September within a single calendar year, while the non-intensive period has two half-periods, which last, respectively, from January to March and from October to December within a single calendar year

Read more

Summary

Introduction

Ukraine faces the unresolved problem of food security When this country joined the World Trade Organization, the problem has become more pressing because the produced raw materials mostly fail to meet the requirements of EU legislation. Small-scale privately-owned farms that produce more than 80 % of the total milk production in Ukraine do not ensure the quality regulated by the EU standards They are forced to cooperate in order to form family dairy farms. To create efficient logistics systems for milk harvesting at the territory of separate administrative districts, it is necessary to apply specific methods and models Such methods and models must take into consideration both the features of production conditions for milk harvesting (the presence of family dairy farms, geographical location, condition of the road network, etc.) and its seasonality. This largely defines the parameters for the fleet of specialized vehicles (SV) milk harvesting, as well as the modes of their operation over a calendar year

Literature review and problem statement
The aim and objectives of the study
Results of determining the indicators of using specialized vehicles
Conclusions
Findings
Reforming the road freight transportation system using systems thinking
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call