E3S Web of Conferences (Jan 2023)
Improving business process management at a small agribusiness enterprise
Abstract
The purpose of the work was to generalize approaches used in creating maps of business processes at agro-industrial complex enterprises and the possibility of structural-branch formation of a model in sequential visualization of stages and all types of work for the main and auxiliary types of production for these organizations. Methods included analysis and synthesis, induction and deduction, abstract-logical and statistical methods, fundamentals of the scientific organization of labor by A.K. Gastev, E. Deming's decision-making methodology and T. Buzan's mind maps. Result and scope: the formation of a map of business processes by industry and in conjunction with all levels of management allows managers of small enterprises in the agro-industrial complex to strengthen control over the main and indirect problems, blocks of production and services, eliminate duplication in management and other operations, optimize linear-functional connections in the management structure. The use of operation modes with the creation of business cards based on achievements of management science and time management can and should be carried out on the job in the form of a continuous form of training. Scientific novelty concerned adaptation of methods and graphical techniques for working with goals, business processes, management solutions in small enterprises of the agro-industrial complex, where there is no position of a business process manager in the staff, but it is possible to use functional specialists and managers in their work to improve labor productivity and increase its efficiency by all categories of workers. Creation of a general model of business processes at an agro-industrial complex, linking all the necessary operations by industry into a single complex, creates a detailed layout of a software product for future developers of automated control systems and the introduction of digitalization, which can serve all processes in the enterprise continuously, efficiently and with better quality.