The goal is to examine how implementing advanced manufacturing technologies like automation, IoT, real-time monitoring and big data analytics can optimize solar panel production processes. Key objectives include:Developing simulation models using Agent-Based Modeling (ABM) and applying optimization algorithms like Particle Swarm Optimization (PSO) and Simulated Annealing (SA) to evaluate different Industry 4.0 configurationsImplementing quality assurance systems utilizing real-time monitoring and technologies like electroluminescence imaging and sun simulatorsUsing Python-based data analytics to monitor production, identify inefficiencies, anticipate equipment failures, and optimize processesThe expected outcomes are a comprehensive simulation model, insights into the effects of Industry 4.0 on solar production, and strategies to achieve high performance, quality and efficiency while minimizing costs and downtime.

Automotive Design Engineering