ANALYSIS OF THE MAIN INDICATORS OF FREIGHT AND TRAIN TRANSPORTATION AT THE “KARSHI” STATION

Аннотация

This article provides a detailed analysis of the freight and train transportation performance of the Karshi railway station in recent years. Based on these analyses, it was noted that there were delays in several directions at the station. In this regard, it was determined that there is a need to improve the station's work processes. To solve these problems, a multi- criteria regression mathematical model of the station's turnaround time was developed. According to it, it was determined that the turnaround time depends on the length of the loading and unloading front, the speed of loading and unloading, and the volume of work at the stations. Keywords: Freight and passenger trains, load cycling, load front length, regression model, least squares method. During the study of the workflow of the “Qarshi” station, the work performed at the station between 2022 and 2023 was carried out, that is, the analysis of the main indicators of the station-that is, the amount of cargo flows loaded from the station, the amount of wagons loaded, the amount of transit processed, the amount of wagons not processed it will be possible to get acquainted with the analysis of these indicators in the cross section of years from the table at the well (Table 1). Table 1 Performance indicators of the “Karshi” station Indicators 2022 2023 2023 to the report to the plan report plan report % (+,-) % (+,-) Выпуск журнала №-26 Часть–8_ Май –2025 27 MODERN EDUCATION AND DEVELOPMENT Loading, tons 275165 261189 268942 97,7 -6223 103,0 7753 Day 1007,9 956,7 985,1 - - - - Loading, 5046 4675 4584 90,8 -462 98,1 -91 wagon Day 18,5 17,1 16,8 - - - - Static loading 54,5 55,9 58,7 107,6 4,1 105,0 2,8 Unloading, 16425 16520 16494 100 69 99,8 -26 wagon Day 60,2 60,5 60,4 - - - - Wagon 209094 213533 240236 114,9 31142 112,5 26703 dispatch Day 765,9 782,2 880,0 - - - - Working fleet - 186910 242965 192823 96,9 5913 126,0 50142 Day 684,7 890,0 706,3 - - - - Empty wagon 20,0 20,0 20,0 100,0 - 100,0 - Transit non- 1,0 1,0 1,0 100,0 - 100 - recyclable Transit 18,0 18,0 18,0 100,0 - 100 - recyclable Recyclable 384050 380800 384198 100,0 148 100,9 3398 fleet Day 1406,8 1394,9 1407,3 - - - - CNG wagons 1654 5172 2188 76 534 236,4 -2984 Day 6,1 18,9 8,0 - - - - Production. 1389,7 1382,0 1430,5 102,9 40,8 103,5 48,6 Contingent 198 189 188 94,9 -10 99,5 -1 Выпуск журнала №-26 Часть–8_ Май –2025 28 MODERN EDUCATION AND DEVELOPMENT 40000 36960 35000 36790 34588 34573 32624 30531 30806 32209 30999 30866 30000 28646 26836 26700 26008 27350 30028 24616 25000 22977 20000 15000 10000 5000 0 Figure 1. Load tonnage diagram Table 2 Loading tons In 9 January February March April May June July August September months 2023 22977 26836 36790 24616 30999 28647 34588 30866 32624 268942 report 2022 30531 26700 36960 26008 30806 27350 34573 30028 32209 275165 report +\- -7554 136 -170 -1392 193 //1297 15 838 415 -6223 % 75,2 100,5 99,5 94,6 100,6 104,7 100,0 102,8 101,2 97,7 An analysis of the activities of the “Karshi” workstation shows that the main load increase is 97,7% less than the 2022 target of 6,223 tons, and 103,0% less than the 2023 plan of 7,753 tons. Выпуск журнала №-26 Часть–8_ Май –2025 29 MODERN EDUCATION AND DEVELOPMENT 2500 2145 2145 2190 20992098 2023 2000 1894 1955 2073 1746 1748 1740 1893 1409 1500 1425 1339 1656 1341 1000 500 0 Figure 2. Diagram of the number of unloaded wagons Table 3 Number of unloaded wagons January February March April May June July August September In 9 months 2023 1425 1341 1746 1748 2145 1901 2099 2073 2023 16494 report 2022 1409 1339 1656 1740 2145 1893 2098 2190 1955 16425 report +\- 16 2 90 8 0 8 1 -117 68 69 % 101,1 100,1 105,4 100,4 100,0 100,3 100,0 94,6 103,5 100,0 Unloading of wagons at the “Karshi” station was 462 wagons more than last year, or 90,8 percent, and 91 wagons less than the plan, which affects the increase in statistical load. Statistical load was fulfilled by 107,6 percent compared to last year, and by 105,0 percent compared to the plan (Figure 1-3). Выпуск журнала №-26 Часть–8_ Май –2025 30 MODERN EDUCATION AND DEVELOPMENT Figure 3. Workforce chart According to the data, the number of CIS cars is 76,0% more and 236,4% less than planned. The quality indicators of the downtime of wagons per 1 cargo operation are 100,0% compared to the previous year, 100,0% compared to the plan, transit downtime with processing is 100,0% compared to the report, 100,0% compared to the plan. The downtime of transit without processing was 100% compared to the previous year and 100% compared to the plan; Labor productivity was reported by 102,9%, the plan was fulfilled by 103,5%. In order to more effectively organize the productivity of station work processes, it is advisable to use various mathematical modeling methods in the organization of station work processes. Mathematical modeling processes are certainly used in every field of production, especially in the field of railway transport, for this purpose, let us consider the issue of