OPTIMIZING RESOURCE ALLOCATION IN REAL-TIME: THE DRART METHOD

This study aimed to optimize resource allocation and improve project efficiency at Mastergaz, a utility and engineering service provider in Kyiv, by implementing the Dynamic Resource Allocation in Real-Time (DRART) method over a two-year period (2022–2024). A mixed-methods approach was adopted, integrating quantitative data from online surveys with qualitative insights from semi-structured interviews involving 50 professionals in resource management. Twelve engineering projects were examined, including water meter installations and central heating system repairs. Results showed a 25% reduction in average task completion time and a 15% decrease in resource expenditures. The DRART framework, which incorporates resource needs, availability, project priority, and costs, enabled real-time adjustments that led to more efficient allocation. Participants reported improvements in communication, faster decision-making, and streamlined processes. The findings highlight DRART’s effectiveness in delivering cost savings and better project outcomes, underscoring its potential for broader application in dynamic resource management environments. By demonstrating both quantitative benefits and qualitative enhancements, the study offers valuable insights for organizations seeking agile strategies to optimize resource utilization.