Companies must continually improve to effectively meet ever-changing customer needs. Analysis of data for factual decision making is essential for your organization's continual improvement program. Generating the data for process performance may be easy'how to correctly analyze it for factual decision making is what we will teach you. Further, we will show you how to recognize the connection between process data and key financial indicators.

Learn how processes behave and how they can be measured, and how process data can be translated into key financial indicators to drive up corporate performance. Understand the benefits of "statistical thinking" and how to use statistical tools to organize, display, and analyze process data. Minitab (statistical software) exercises and workshops make the course concepts easy to understand and apply to your organization.

Proficiency in MS Excel and good analytical skills are helpful. Laptop computers are required. Students are provided with a demo copy of Minitab (version 14) that is valid for 30 days.

Managing Process Data for Continual Improvement Objectives

• Recognize processes and process variables and how to measure them.
• Understand the purpose, benefits, and objectives of a system to manage process data.
• Learn basic statistical concepts and how they apply to data management.
• Practice using Minitab to organize, display, and interpret data.
• Link process data to key financial indicators.

Managing Process Data for Continual Improvement Topics

• Processes and process variables
• Measuring processes
• Basic statistical concepts (central tendency, variation, and Normal theory)
• Data collection
• Sampling approaches and determining sample size
• Population vs. process sampling
• Measurement system analysis (Gage R&R for variables and attributes)
• Data analysis (time plots, run charts, and control charts, scatter plots, frequency plots, and Pareto analysis)
• Linear regression
• Multiple linear regression

Who Should Attend Managing Process Data for Continual Improvement?

Recommended for design, quality, and manufacturing engineers, as well as professionals engaged in measuring/monitoring corporate performance.

CEUs: 2.5
Number of Days: 3