Systems analysis and mathematical modeling of partially two-stage processes of material flow distribution

Authors

  • Koriashkina Larysa
  • Lubenets Danylo

DOI:

https://doi.org/10.34185/1562-9945-1-150-2024-08

Keywords:

multi-stage logistics processes, area zoning, mathematical model, location-allocation problems, system analysis, optimization.

Abstract

The partially two-stage process of material flow distribution in a logistics system is considered, which consists of enterprises that produce certain products and sell them directly to consumers or through distribution centers. It is assumed that the demand for products is continuously distributed throughout the territory of a certain region. The purpose of the work is to reduce transportation and organizational costs associated with the sale and storage of finished products for a network of production enterprises by developing models and methods of optimization tasks that allow determining the quantity, capacity, and coordinates of distri-bution centers and organizing logistics processes, rationally distributing transportation and material flows among all participants in the logistics process. The relevance of the work is due to the creation of territorially distributed multilevel companies that carry out the entire production cycle from raw material procurement with its comprehensive use, production of products to transportation to end consumers through distribution centers. The mathematical support of the formulated placement-distribution tasks is developed using the basic provisions of the theory of continuous problems of optimal subset division with the placement of subset centers, duality theory, linear programming methods of the transport type, modern algorithms of non-differentiable optimization. The presented models and algorithms allow solving a whole range of strategic planning problems that arise in the production, social, and economic spheres of activity.

References

Serhieiev, O., Us, S. (2023). Analysis of modern approaches to solving discrete and con-tinuous multi-stage allocation problems. Information Technology: Computer Science, Soft-ware Engineering and Cyber Security, 2, 59–70, doi: https://doi.org/10.32782/IT/2023-2-7.

Us, S. A., Koriashkina, L. S., Stanina, O. D. (2019). An optimal two-stage allocation of material flows in a transport-logistic system with continuously distributed resource. Radio Electronics, Computer Science, Control, 1, 256–271, https://doi.org/10.15588/1607-3274-2019-1-24

Yin, X. A multi-stage stochastic programming approach to epidemic resource allocation with equity considerations / Yin, X., Büyüktahtakın, İ.E. // Health Care Manag Sci, 2021, 24, 597–622, https://doi.org/10.1007/s10729-021-09559-z

Azizi, V., Hu, G.A. (2021). Multi-Stage Stochastic Programming Model for the Multi-Echelon Multi-Period Reverse Logistics Problem. Sustainability, 13, https://doi.org/10.3390/su132413596

Yan, L., Grifoll, M., Feng, H., Zheng, P., Zhou, C. (2022). Optimization of Urban Distri-bution Centres: A Multi-Stage Dynamic Location Approach. Sustainability,14, 4135, https://doi.org/10.3390/su14074135

Feng, B., Ye, Q. (2021). Operations management of smart logistics: A literature review and future research. Front. Eng. Manag., 8, 344–355, https://doi.org/10.1007/s42524-021-0156-2

Bakker, H., Dunke, F., Nickel, S. (2020). A structuring review on multi-stage optimization under uncertainty: Aligning concepts from theory and practice. Omega, 96, https://doi.org/10.1016/j.omega.2019.06.006

Dziuba, S., Koriashkina, L., Stanina, O., Lubenets, D. (2023). Mathematical models of op-timization problems of partially two-stage population evacuation with territory segmentation. Information Technology: Computer Science, Software Engineering and Cyber Security, 3, 13–21, doi: https://doi.org/10.32782/IT/2023-3-2

Koriashkina, L., Us, S., Odnovol, M., Stanina, O., Dziuba, S. (2024). Two-stage problems of optimal location and distribution of the humanitarian logistics system’s structural subdivi-sions. Naukovyi visnyk Natsionalnoho hirnychoho universytetu, 1.

Kiseleva, E.M., Koriashkina, L.S. (2015). Theory of continuous optimal set partitioning problems as a universal mathematical formalism for constructing Voronoi diagrams and their generalizations. II. Algorithms for constructing Voronoi diagrams based on the theory of op-timal set partitioning. Cybernetics and Systems Analysis, 51(4), 489-499. https://doi.org/10.1007/s10559-015-9740-y

Downloads

Published

2024-04-16