Reducing Greenhouse Gas Emissions in Transportation using Electric Vehicles and Simulation Modeling

Abstract

This research elucidates the pursuit of operational excellence in greenhouse gas emission, employing a multifaceted approach to analyze key performance indicators (KPIs), supply chain dynamics, electric vehicle, and technology integration. The investigation reveals a consistent improvement in production efficiency, with an average increase of 0.53%, reduced downtime by an average of 5 hours per month, and a marginal decrease in cycle time. Supply chain metrics exhibit commendable performance, with an average on-time delivery rate of 93.0%, order accuracy of 97.9%, and lead time of 5.5 days. Electric vehicle showcases a strategic investment with an average of 19 hours per month, leading to certifications such as Level 3 and Level 4 for advanced machine operations and programming CNC machines. The integration of advanced technologies demonstrates substantial efficiency improvements, with IoT sensors contributing to a 20% increase, automated robotics showcasing a remarkable 35% enhancement, and advanced data analytics and augmented reality (AR) each exhibiting 25% and 30% improvements, respectively. The findings collectively underscore the interconnected strategies driving operational excellence in greenhouse gas emission, providing valuable insights for organizational decision-making.

Keywords

• operational excellence
• greenhouse gas emission
• key performance indicators
• supply chain dynamics
• electric vehicle
• technology integration