Improving Project Management Software using Fuzzy based Static Var Compensator (SVC)

In today's dynamic and complex project environments, efficient project management software plays a critical role in ensuring successful execution and delivery.However, challenges such as computational overload, system instability, real-time data inconsistency, and limited adaptability to fluctuating workloads often hinder performance.This research introduces a novel approach to enhancing the performance and reliability of project management software by integrating a Fuzzy Logic-Based Static VAR Compensator (SVC).The proposed system applies fuzzy inference to dynamically stabilize the software's computational environment, optimize processing voltage conditions, and reduce system lag during high-demand tasks.Through simulation and analysis, the fuzzy-based SVC demonstrated significant improvements in execution speed, task scheduling accuracy, system responsiveness, and resource utilization.The study provides a new interdisciplinary framework that bridges power systems engineering with software performance optimization, offering an intelligent, adaptive solution for managing uncertainty and complexity in project management platforms.This advancement paves the way for the development of more robust and scalable project management tools aligned with the demands of Industry 4.0.The conventional inadequate user interface that causes poor project management software was20%.On the other hand, when Fuzzy based static VAR compensator (SVC) was incorporated into the system, it decisively reduced it to17.3%and the conventional inadequate risk management that caused poor project management software was 8%.On the other hand, when Fuzzy based static VAR compensator (SVC) was integrated into the system, it automatically reduced it to 6.9%.Finally, with these results obtained, it showed that percentage improvement of project management software when Fuzzy based static VAR compensator (SVC) was input in the system was 1.1%.