| Issue |
BIO Web Conf.
Volume 113, 2024
XVII International Scientific and Practical Conference “State and Development Prospects of Agribusiness” (INTERAGROMASH 2024)
|
|
|---|---|---|
| Article Number | 05009 | |
| Number of page(s) | 18 | |
| Section | Agricultural Production Management | |
| DOI | https://doi.org/10.1051/bioconf/202411305009 | |
| Published online | 18 June 2024 | |
Analytical methods and tools for business process optimization
1 Siberian Federal University, 660041 Krasnoyarsk, Russia
2 Reshetnev Siberian State University of Science and Technology, 660037 Krasnoyarsk, Russia
3 Bauman Moscow State Technical University, 105005 Moscow, Russia
* Corresponding author: sofaglu2000@mail.ru
This article is a study of the existing management structure and organizational structure of the operation department at a trucking company. The purpose of the study was to identify the uneven distribution of workload among employees and to develop an ideal business process model to optimize the work of the department. Using the methods of business process analysis, the main functions and their labor intensity were identified and the workload of the staff was calculated. After implementing the proposed changes based on the ideal business process model, there is a significant equalization of employee workload and a decrease in the total labor intensity of functions. The obtained results indicate an increase in the efficiency of the operation department and optimization of the use of enterprise resources.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.