Economic and mathematical model for solving logistics problems of business processes in technological systems
Автор: L.A. Korobova, E.N. Kovaleva, E.A. Savvina, T.V. Gladkikh, I.S. Tolstova
Рубрика: Экономика и управление
Статья в выпуске: 3 (89), 2021 года.
Logistics for most enterprises at the micro level is highly demanded and relevant, since the optimal approach and principles can significantly reduce the costs associated with managing a wide variety of flows: material resources, money, information, transport, energy and much more, as well as more efficiently and orderly plan, organize streaming processes. In this regard, the article discusses the urgent task of developing a route planning model that allows you to establish information about the movement of cargo with the definition of the shortest path. In the article, the authors propose a comprehensive optimization economic and mathematical model that allows you to determine the optimal supplier for each consumer of a specific type of finished product with the lowest transportation costs for the manufacturing enterprise. The use of economic and mathematical modeling allows you to solve the problem of route planning in order to collect information about the movement of cargo online, draw up a flight schedule, and easily create reports and documents for enterprise logistics. Thanks to automatic accounting of these and other parameters, the constructed routes will be optimal. According to the experience of our partner companies, this saves up to 20% of transport costs. The logistics management subsystem distributes work in such a way that performers arrive at their destinations in delivery windows convenient for the recipient. The system distributes work and calculates the arrival time taking into account many factors: requirements for the vehicle and its type, information about historical traffic jams, the characteristics and working conditions of each driver. The "Logistics Management" subsystem monitors the delivery process in real time and, when a new order appears, analyzes the current location and workload of personnel. Based on this information, the system proposes the most suitable contractor and makes changes to the route.
Economic and mathematical modeling, products, supplier, consumer, transportation, enterprise costs, cluster analysis, cluster, transport problem, enterprise logistics, optimization problem
Короткий адрес: https://readera.org/140259884
IDR: 140259884 | DOI: 10.20914/2310-1202-2021-3-226-232