Statistical quality control is one of the biggest levers manufacturers have for detecting and preventing quality incidents, which is examined in a November 30 webcast.
Continuous improvement is a requirement in today’s competitive manufacturing environment. Top companies today are continuously improving production, quality and sustainability metrics using advanced analytics solutions. For manufacturers, the difference between high quality and low-quality products could mean high margin differential or customer disruption. Statistical quality control is one of the biggest levers manufacturers have for detecting and preventing quality incidents before they reach end customers.
On Thursday, November 30, Katie Pintar, a senior analytics engineer for Seeq, will explain how gaining these insights can help provide a valuable roadmap for the future in the webcast “How to Enable Process Improvement and Enhance Product Consistency.”
Pintar will discuss the benefits of applying statistics in manufacturing and how companies, when they remove the silos keeping information separate, bring them together they can create an agile, innovative and collaborative culture in the company. They’ll achieve insights on not just the business, but in specific areas such as:
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Plant efficiency
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Personnel performance and their strengths and weakness
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Artificial intelligence and machine learning (ML)
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Day-to-day business productivity.
Pintar will examine this in greater detail with customer use cases that highlight a particular challenge as well as how it was resolved and the results of these use cases and how companies can apply the lessons learned from them.
