| Issue |
MATEC Web Conf.
Volume 398, 2024
2nd International Conference on Modern Technologies in Mechanical & Materials Engineering (MTME-2024)
|
|
|---|---|---|
| Article Number | 01015 | |
| Number of page(s) | 12 | |
| DOI | https://doi.org/10.1051/matecconf/202439801015 | |
| Published online | 25 June 2024 | |
Optimizing Industrial Processes in Beverages and Aerospace Sector: A Case Study Analysis
Department of Industrial Engineering, UET Taxila, Ibn-e-Sina Block
* Corresponding author: muhamaduzair31@gmail.com
This study examines industrial process optimization approaches using case studies, literature reviews, and original research. It explores techniques such as linear programming, simulation modelling, Lean, Six Sigma, and advanced machine learning algorithms. Case studies exemplify the application of these methods in beverages and aerospace sectors, the study employs specific strategies and data collection methods, providing insights into the applicability, strengths, and limitations of various methodologies. Results highlight both quantitative and qualitative outcomes, offering valuable insights for practitioners and decision-makers.
© 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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