If you're flexible with travel, jump ahead by selecting one of the recommended facilities to the right. Otherwise, the form below helps drill down from state to city to a specific training facility for your Statistical Process Control (SPC) Training class.
Pre-enrollment is accepted until the minimum student requirement is met. Once enough students have signed up, then we will reach out to process your payment. If minimum enrollment is not attained, we may ask that you consider an alternate date or location. With that in mind, would any of the 4 states be possible for you? Facilities in these states either have a low minimum student requirement, or already have students signing up:
However, if travel is a limitation for you and none of the states above will work, don't worry. We have several options. And if none of those below suit your needs, feel free to contact us and make a request. We will do everything possible to accomodate. A common request we receive is to do on-site training for companies seeking to get several employees trained at the same time.
Who is Statistical Process Control (SPC) Training for?
Statistical Process Control (SPC) is for anybody hoping to retain the desired performance level of an important service, product, or process. Traditionally, its been most-often used by Manufacturing, Procurement, and Quality Professionals. Usually, Inspectors and machine Operators collect data using Gage R&R-validated measurement systems, and plot the data on their control charts for analysis and action by Manufacturing or Quality Engineers. Managers of these functions must also understand relevant terminology, plus how to read and interpret control charts. So, if you are in or want to be in one of those roles, then SPC Training is for you. In our course, students learn:
Statistical Process Control (SPC) Training Course Overview:
Not only can SPC detect changes in supplier processes, of course, it can also detect changes within your own factories. When a process launch is done correctly, Manufacturing Engineers document the process in its approved launch state. Documentation includes an SPC snapshot and calculation of control limits. After new processes are handed-off, local Production teams can refer on-going performance to the launch status control limits thereby knowing if any process inputs have changed resulting in an out of control condition.
|Terminology. Our course begins with a review of SPC-related terminology including clearing up common confusion between capability and control.
|Data Types. We review difference between attribute and variable data plus advantages and disadvantages of each.
|Control Charts. All of the different types of control charts are reviewed including how to choose charts appropriate to the data type. Exercises are conducted allowing students to build several control charts themselves in class. Being the most prevalent in industry, focus is given to Xbar & R Charts.
|Interpretation. Two systems of rules for detecting out of control conditions are presented with reasoning for why one is favored followed by several exercises detecting them.