1.0CNhttps://cnsdrive.com/cnnewsiteadmin_cnhttps://cnsdrive.com/cnnewsite/author/admin_cn/Manufacturing Optimization using Data Analytics - CNrich600338<blockquote class="wp-embedded-content" data-secret="8g7PoSgl45"><a href="https://cnsdrive.com/cnnewsite/manufacturing-optimization-using-data-analytics/">Manufacturing Optimization using Data Analytics</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://cnsdrive.com/cnnewsite/manufacturing-optimization-using-data-analytics/embed/#?secret=8g7PoSgl45" width="600" height="338" title="“Manufacturing Optimization using Data Analytics” — CN" data-secret="8g7PoSgl45" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript">
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https://cnsdrive.com/cnnewsite/wp-content/uploads/2024/06/OPTIMIZATION-USING-DATA-ANALYTICS-scaled-1.jpeg25601575BUSINESS CHALLENGE: Data Analytics is applied in Factory Optimization at various stages. ‘Finished Goods Optimization’ is performed by controlling the characteristics of the finished goods. This case study involves a manufacturer of premium instant coffee where an optimized solution was provided. One of the key characteristics that define the quality is moisture content in the coffee. As per international standards, the maximum allowable limit is 5% of moisture. But customer requirements vary from 2 – 4%. The manufacturing process is very complicated and operated in a highly controlled environment. Multiple instruments are used to maintain 32 process parameters at desirable levels.