Designing Data Collection for Consistency that Improves Process Management
by Northwest Analytics on Oct 20, 2011
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Part 2 of the “Factors for Manufacturing Analytics Success” webinar series examines the underlying system and user interface design for successful data collection. The webinar will explain how to ...
Part 2 of the “Factors for Manufacturing Analytics Success” webinar series examines the underlying system and user interface design for successful data collection. The webinar will explain how to define the process and identify the information flows for each operation. This includes how to conduct a value stream analysis to understand how waste streams and process variances impact quality.
Additionally, Charlie Gifford will discuss how to select and measure the appropriate parameters to deliver the data needed to understand and control the process. He will show how create a successful system by taking steps to:
• Define and maintain consistent data formats
• Maintain consistent variable naming across databases
• Design and implement data collection that delivers high quality data
• Design for compliance with industry standards and best practices
The webinar will provide a road map on how to deliver, role-specific reporting and analytics to everyone in operations and management. The final system will provide actionable feedback on both the measurement and manufacturing processes, thereby establishing a solid foundation for process management and continuous improvement.
Recording at (https://www1.gotomeeting.com/register/580933265 ).
NWA website http://www.nwasoft.com
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