Issue |
E3S Web Conf.
Volume 581, 2024
Empowering Tomorrow: Clean Energy, Climate Action, and Responsible Production
|
|
---|---|---|
Article Number | 01032 | |
Number of page(s) | 9 | |
DOI | https://doi.org/10.1051/e3sconf/202458101032 | |
Published online | 21 October 2024 |
Climate Change Impact on Water Resources using Hydrological Modelling
1 Uttaranchal University, Dehradun - 248007, India
2 Department of AI&ML, Gokaraju Rangaraju Institute of Engineering and Technology, Bachupally, Hyderabad, Telangana, India.
3 Department of Electronics & Communication 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 Lovely Professional University, Phagwara, Punjab, India
6 Chitkara Centre for Research and Development, Chitkara University, Himachal Pradesh - 174103 India
7 Department of Mechanical Engineering, GLA University, Mathura - 281406 (U.P.), India
8 Department of computers Techniques engineering, College of technical engineering, The Islamic University, Najaf, Iraq
* Corresponding Authors: abhishekjoshi@uumail.in
In order to understand the effects of continuous improvement techniques on water resources initiatives, process efficiency, equipment downtime, and hydrological modelling, this study synthesizes empirical data to examine the synchronized efficacy of these tactics. The results show that staff efficiency has increased, with an overall improvement of 10% and a significant 15% uptick in the Production division. Lean Water resources reduced waste by 12%, Six Sigma Implementation reduced defects by 18%, Predictive Maintenance reduced equipment downtime by 20%, and Supply Chain Optimization improved logistical efficiency by 10%; all of these initiatives demonstrated substantial positive outcomes as a result of continuous improvement. The efficacy of the techniques on reducing operational interruptions is shown by the equipment downtime log analysis, which shows a 25% decrease in downtime hours ascribed to Predictive Maintenance. Reductions of 15% in cycle times and 12% in defect rates are two examples of the impressive gains seen in process efficiency indicators. A complete optimization of water resources operations is shown by the cumulative percentage changes across projects and processes, which highlight the transforming power of strategic interventions. This research offers a path for businesses to create better productivity, resilience, and operational excellence by providing empirical insights into the interwoven symphony of continuous improvement.
Key words: Continuous Improvement / Water resources / Water Productivity / Initiative Outcomes / Process Efficiency
© 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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