A SYNERGETIC APPROACH TO THE APPLICATION OF MONTE CARLO AND BENCHMARKING METHODS IN THE MANAGEMENT OF INFRASTRUCTURE PROJECTS UNDER RECOVERY CONDITIONS

Abstract

The article proposes the integration of the Monte Carlo method and the benchmarking method as a synergistic tool for the effective management of infrastructure projects in the context of the post-war recovery. The focus is on improving decision-making under uncertainty, constrained financial and material resources, and growing public demand for accountability and transparency in project implementation. The Monte Carlo method enables the simulation of multiple development scenarios, taking into account the variability of input parameters and identifying critical impact factors that may significantly influence project outcomes. The benchmarking method is applied to compare the current project case with recognized best practices and performance indicators from similar infrastructure initiatives. This comparative approach helps in setting realistic goals, calibrating expectations, and identifying areas for improvement in the planning and execution of reconstruction efforts. The proposed integrated model enhances the quality of strategic planning, improves adaptability to rapidly changing conditions, and increases the accuracy of investment efficiency assessment. The article also highlights the model’s ability to support proactive risk management, improve accountability mechanisms, and facilitate the rational allocation of available resources in post-conflict settings. Particular emphasis is placed on the role of data-driven tools and evidence-based decision-making in strengthening institutional capacity during the recovery phase. Practical testing of the approach was conducted based on the reconstruction of civil infrastructure objects in Ukraine, including pilot facilities supported by international donors worldwide. The results confirmed the effectiveness, flexibility, and practical relevance of the synergy between these two methods. The model proved valuable in optimizing resource utilization, reducing uncertainties, strengthening project resilience, and contributing to long-term socio-economic sustainability and institutional recovery in war-affected regions.