Multi-criteria mathematical model for optimizing organizational and logistics processes in civil construction
DOI:
https://doi.org/10.36910/6775-2410-6208-2026-15(25)-10Keywords:
civil engineering, organizational and logistics processes, multi-criteria optimization, construction logistics, Pareto-efficient solutionsAbstract
The article examines the problem of improving the efficiency of organizational and logistics processes in civil construction based on multi-criteria mathematical modeling. It is determined that traditional approaches to schedule-and-resource planning do not always ensure coordination between work execution timelines, resource needs, supply capabilities, storage capacity, and the throughput capacity of logistics nodes. This necessitates the development of a model capable of simultaneously taking into account the time, cost, resource, spatial, and reliability parameters of the construction process.
The aim of the study is to substantiate a multi-criteria mathematical model for optimizing organizational and logistics processes in civil construction, which provides formalized coordination of work duration, total logistics costs, resource supply reliability, and resource balance. The methodological basis of the study consists of the principles of systems analysis, parameterization of construction logistics, structural-functional modeling, and multi-criteria optimization.
The paper proposes the structure of a mathematical model that includes a system of input parameters, decision variables, objective functions, and constraints. The main optimization criteria are defined as minimizing work duration, minimizing total logistics costs, maximizing resource supply reliability, and improving resource balance. The model takes into account technological dependencies between works, resource needs, delivery time windows, storage capacity limitations, the throughput capacity of logistics nodes, and the readiness of work fronts.
Computational testing of the proposed model was performed by comparing a traditional schedule-and-resource scenario with an optimized organizational and logistics scenario. The obtained results showed a reduction in project implementation duration from 395 to 381.91 days, a decrease in total logistics costs from UAH 7,581,684.17 to UAH 7,257,551.01, an increase in resource supply reliability from 0.51 to 0.8460, and an improvement in resource balance from 0.86 to 0.8815.
The practical significance of the proposed approach lies in the possibility of forming a set of feasible compromise organizational and logistics alternatives that can be used to support managerial decision-making during the planning, adjustment, and implementation of civil construction projects.
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References
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