Issue |
E3S Web Conf.
Volume 581, 2024
Empowering Tomorrow: Clean Energy, Climate Action, and Responsible Production
|
|
---|---|---|
Article Number | 01026 | |
Number of page(s) | 9 | |
DOI | https://doi.org/10.1051/e3sconf/202458101026 | |
Published online | 21 October 2024 |
Reducing Greenhouse Gas Emissions in Transportation using Electric Vehicles and Simulation Modeling
1 Lovely Professional University, Phagwara, Punjab, India,
2 Department of Civil, GRIET, Bachupally, Hyderabad, Telangana, India.
3 Department of Computer Science & Engineering, KG Reddy College of Engineering and Technology, Chilkur(Vil), Moinabad(M), Ranga Reddy(Dist), Hyderabad, 500075, Telangana, India.
4 Centre of Research Impact and Outcome, Chitkara University, Rajpura - 140417, Punjab, India
5 Uttaranchal University, Dehradun - 248007, India
6 Chitkara Centre for Research and Development, Chitkara University, Himachal Pradesh - 174103 India
7 Department of Electrical Engineering, GLA University, Mathura - 281406 (U.P.), India
8 Department of computers Techniques engineering, College of technical engineering, The Islamic University, Najaf, Iraq
* Corresponding Email: archna.sehgal@lpu.co.in
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.
Key words: Operational Excellence / Greenhouse gas emission / Key Performance Indicators / Supply Chain Dynamics / Electric vehicle / Technology Integration
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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