A process orientation reduces variation in the process. SPC plots data across time and imposes statistical limits across the data. The probability of a data point to fall outside of the statistical limits is low. When a point does fall outside of the statistical limits, analysis occurs to determine the cause.
The task at hand, is how to manufacture parts/provide a service with as little variation as possible?
The first to apply the new statistical methods to the problem of quality control was Walter A. Shewhart of the Bell Telephone Laboratories. In a memorandum prepared on May 16, 1924, Shewhart made the first sketch of a modern “control chart”. The new technique was subsequently developed in various memoranda and articles, and in 1931, Shewhart published a book on statistical quality control which bore the title “Economic Control of Manufactured Product”. This book set the pattern for subsequent applications of statistical methods to process control.
Note: In our experience, a pre-test and post–test provides your organization a barometer of how well the participants grasped the key concepts. Although a fifth grade reading level is required, we also recommend a basic math test to all participants.
Upon completion of this course, participants will be able to:
- Understand variation, probability and their definitions
- Learn the terms associated with the Normal Curve such as “standard deviation” and “sigma”
- Learn the terms associated with control charts such as “subgroup”, “mean” and “range” and learn “how to” perform manual calculations
- Understand the difference between “individuals” and “averages”
- Apply the fundamentals to construct a control chart and learn about the different types of control charts and their uses
- Know “how to” use simple graphical techniques to analyze and interpret data. Know how to react to the signals
Participants will have opportunities to engage in enlightening interaction, hands on exercises, group work, and practice sessions. During the course, team members will glean wisdom and insight, and give some too, while networking with other participants.
Whether in manufacturing, healthcare, financial services, government or any other business environment, the examples and specifics of this workshop will be tailored to specific needs. The instructor will ensure that examples connect to all participants and their unique circumstances
Four (4) hours
- Introduction to SPC
- Basic Statistical Concepts and Terminology
- Tools for Continuous improvement
- Types of Control Charts
- Calculating Control Limits
- Variable Control Charts
- Attribute Control Charts
- Uses of Control Charts
- Automating SPC
- Next Steps
- Workshop Exercises