10.25673/120439">


Proceedings of International Conference on Applied Innovation in IT
2025/06/27, Volume 13, Issue 2, pp.205-215

Normalization of Time Losses in Sorting Station Operations Using a Python‑Based Instrumental Tool


Dilmurod Butunov, Shakhriyor Daminov and Choriyor Jonuzoqov


Abstract: The study aims to reduce unproductive time losses in wagon flow processing at railway sorting stations using a Python-based software tool. The work used mathematical and graphical modeling, structural analysis, flowcharting, algorithm theory methods, and the Python programming language. The problems caused by unproductive time losses in sorting station operations were cited. Based on the flowcharting method, a systematic analysis of the operation of the sorting station receiving park was carried out, and it was determined that time losses are caused by the human factor in waiting between technological operations. The values of unproductive time losses were determined by the elements of the receiving park operation. Therefore, it was determined that the current graphical modeling method is inefficient and that a new mechanism for reasonably standardizing the value of each element needs to be developed. An instrumental tool was created based on the algorithm theory method and the Python programming language to standardize time losses in the sorting station. This mechanism creates opportunities for rational regulation of the value of each element in the operation of the receiving park and online monitoring of the activities of station employees.

Keywords: Sorting Station, Python, Instrumental Tool, Unproductive Time Loss, Wagon Flow, Receiving Park.

DOI: 10.25673/120439

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