People, Process, Technology | 1 PDU

Steven H. Jones

CI & AI. The New Formula Leveraging AI to Continuous Improvement | 11:00 - 11:50 AM | RM 3265

Events

Program Director for Operations and Industrial Management and Assistant Professor in the Lindner College of Business

Steven H. Jones, PMP, SMC, ICBB

As the Program Director for Operations and Industrial Management and Assistant Professor in the Lindner College of Business, Steven Jones leverages 30+ years of real-world experience to teach in the Department of Operations, Business Analytics and Information Systems. He has been an executive leader specializing in Continuous Improvement and Operational Excellence practices in global organizations. Skilled and certified in Scrum, ITIL, Lean Six Sigma and Project Management frameworks. He has used these skills in global process improvement projects that realize cost savings and increased revenue performance.

External to the College of Business, Steven is a member of the International Society of Six Sigma Professionals, the American Society for Quality and the Project Management Institute. He earned a B.A. in Communications from The University of Cincinnati, an Executive MBA from Xavier University of Ohio and completed his international business studies at Sophia University in Tokyo.

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CI & AI. The New Formula Leveraging AI to Continuous Improvement

This session will discuss how integrating Artificial Intelligence (AI) into Continuous Improvement (CI) efforts can significantly enhance the effectiveness of Lean methodologies, which focus on optimizing processes by eliminating waste and increasing efficiency. Key takeaways include:

  • Data-Driven Insights: AI can analyze large amounts of real-time data to identify patterns and inefficiencies that might not be immediately visible. This allows for more precise identification of areas where waste occurs, whether in production, supply chain logistics, or administrative tasks.
  • Predictive Analytics: AI-powered predictive analytics can improve demand forecasting, optimizing inventory levels, and reducing issues like overproduction or shortages. Machine learning algorithms continuously refine these predictions over time.
  • Automation: AI can automate repetitive tasks, allowing human workers to focus on more value-added activities. This includes automated quality control, maintenance scheduling, and dynamic scheduling adjustments based on real-time demand.
  • Enhanced Decision-Making: AI provides actionable insights from complex data sets, enabling faster and more informed decision-making. This supports Lean's principle of empowering frontline workers with the right information at the right time.
  • Operational Value: Integrating AI into CI practices can optimize processes, reduce waste, improve productivity, and enhance decision-making, leading to higher efficiency, lower costs, and greater agility in responding to market demands. Ultimately, this enhances an organization's competitiveness and sustainability.

Overall, the abstract highlights the potential of AI to amplify the principles of Continuous Improvement and Lean methodologies, driving significant operational and strategic benefits.