Published Paper Details:

This research presents an innovative approach to optimizing the Critical Path Method (CPM) for manufacturing engineering projects. While CPM is a staple in project management, its application in manufacturing often encounters challenges due to the complex nature of processes and dependencies. Our study proposes a holistic methodology integrating advanced mathematical models, simulation techniques, and artificial intelligence (AI) to enhance project scheduling, resource allocation, and risk management. Key components include mathematical modeling to capture intricate task relationships, simulation methods for handling uncertainties, AI algorithms for predictive analysis, resource optimization, and robust risk management strategies. This comprehensive approach addresses manufacturing-specific challenges, offering a more adaptive scheduling mechanism. Case studies demonstrate its effectiveness compared to traditional CPM methods, showcasing its potential to improve project outcomes in the dynamic manufacturing landscape.