Syed Muhammad Shakir Bukhari
, Rehman Akhtar
Peshawar ATN Soap Industry is confronted with issues pertaining to substandard quality and ineffective waste management, which influence overall operational performance. This study suggests a thorough strategy that combines artificial intelligence (AI) and Six Sigma methodology to address these problems. AI technology will be used to improve predictive maintenance, maximize resource usage, and eliminate defects; Six Sigma techniques will be used to discover and reduce variances in the soap production process. The research will begin with a thorough examination of the way things are now run, highlighting major issues with waste management and quality. The soap production process will be systematically analyzed and improved through the application of Six Sigma techniques, such as the DMAIC (Define, Measure, Analyze, Improve, and Control) methodology. To do this, quantifiable targets must be defined, pertinent data must be gathered, and focused changes must be put into place to get rid of flaws and increase the overall quality of the product. In the context of the ATN Soap Industry, the research seeks to illustrate the synergistic benefits of combining Six Sigma and AI. Significant gains in product quality, a decrease in defects, increased operational effectiveness, and a sustainable waste management strategy are among the anticipated results. This all-encompassing strategy can help improve industrial procedures in the area by acting as a model for other businesses dealing with comparable issues.
Syed Muhammad Shakir Bukhari Rehman Akhtar “Enhancing Quality and Reducing Wastage in ATN Soap Industry Peshawar Using Six Sig Vol. 11 Issue 09 PP. 177-187 September 2024. https://doi.org/10.34259/ijew.24.1109177187.
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