S5:E9 Overall Equipment Effectiveness with John Oskin
May 15, 2023
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John Oskin, CEO of Sage Clarity Solutions, discusses the importance of OEE in manufacturing, managing data overload and optimizing KPIs, real-time feedback and the importance of iteration, and challenges in data analysis.
Using OEE to identify losses and stratify them to determine their causes, and excluding planned maintenance from OEE calculations.
The importance of real-time feedback, intelligent root cause analysis using AI and digital twin concepts, and taking action today to advance asset management digitization strategy.
Deep dives
The Importance of Data Collection and Analysis in Manufacturing
John Oskin, CEO of Sage Clarity Solutions, discusses the significance of collecting and analyzing data in the manufacturing industry. He shares a personal experience where data collection revealed small interruptions in the manufacturing process that were negatively impacting overall output. Oskin highlights the importance of identifying losses and stratifying the data to determine breakdowns caused by maintenance, material, or production planning. He suggests that the best organizations digitize their factories, collect real-time data, and use it to justify maintenance decisions. Oskin also emphasizes the need for organizations to be authentic and purposeful in their data collection, and to use proactive alerts and exception management for actionable insights.
The Challenges of Handling Vast Amounts of Data
Oskin addresses the challenge organizations face when dealing with large amounts of data. He advises against collecting data for the sake of it and stresses the importance of focusing on meaningful data that serves a specific purpose. Oskin recommends using technology like artificial intelligence (AI) and proactive alerts to manage the data overload. He suggests that organizations should move from static data to real-time data, which allows for a smaller set of key performance indicators (KPIs) that are based on actionable insights. Oskin also emphasizes the need to stay authentic and control one's own destiny by making purposeful use of data.
The Role of AI and Digital Twins in Manufacturing
Oskin discusses the impact of artificial intelligence (AI) on the manufacturing industry. He highlights the value of coupling AI with the concept of digital twins, which are virtual representations of physical assets. Oskin explains how intelligent root cause analysis, enabled by digital twins and AI, can help analyze production lines and identify drivers of downtime. He emphasizes the importance of collecting real-time data and the role it plays in providing insights for maintenance, reliability, and other operational decisions. Oskin also suggests that organizations should focus on extracting valuable insights from data rather than collecting data for its own sake. He concludes by acknowledging that AI is rapidly changing every industry and poses new challenges and opportunities.
In this week's episode, John Oskin, CEO of Sage Clarity Solutions, emphasizes the need to use OEE to identify losses and stratify them to determine their causes, recommends excluding planned maintenance from OEE calculations, and stresses the importance of real-time feedback and intelligent root cause analysis using AI and digital twin concepts. Oskin also notes that while AI is changing every industry quickly, there is still a human element required to understand and use the data. The biggest takeaway that John hopes listeners will take from the discussion is to start taking action today to advance their asset management digitization strategy.
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