MULTI-LEVEL PLANNING AND MANAGEMENT IN CONCRETE PRODUCTION DEVELOPMENT AND SUPPLY CHAINS
DOI:
https://doi.org/10.20998/2413-3000.2025.10.2Keywords:
ready-mix concrete; concrete delivery; supply chain: production and logistics planning; simulation modelingAbstract
The relevance of the research is linked to the fact that the restoration of destroyed housing stock, the reconstruction of damaged infrastructure and industrial buildings, and the resumption of work on all construction sites across the country will lead to a sharp increase in demand for concrete, which will evidently exceed existing production capacities. Therefore, one of the key priorities for Ukrainian concrete plants today must be the implementation of strategies and development projects aimed at increasing productivity without compromising quality. The purpose of this study is to enhance the efficiency of production planning and logistics for ready-mixed concrete based on a systematic approach and simulation modeling under the dynamics of market demands and constraints. The following results have been obtained. A multi-level planning model for concrete logistics has been proposed. This model considers both production and distribution processes, allowing for the alignment of supply plans with the enterprise's development strategies. The use of this model enables systematic analysis of order portfolios and production development projects to assess their feasibility at a specific enterprise, coordinate project implementation plans with enterprise strategies at various planning levels, and select orders/projects for execution according to the chosen development strategy. A simulation model for analyzing the processes of production and logistics of ready-mixed concrete has been developed. This model facilitates solving various tasks, including evaluating the rationality and efficiency of production and delivery organization, identifying bottlenecks in production and logistics processes, forecasting performance indicators of concrete plants under changing production conditions, and generating data to support decisions aimed at reducing downtime for both plants and clients. The models developed can serve as valuable tools to assist managers, dispatchers, and engineers at concrete plants in planning their operations effectively.
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