Statistical Process Control (SPC) Training in Texas

Statistical Process Control (SPC) Training
Each possesses its own advantages. SPC training gives Texas students the power to remotely detect supplier process changes.
Price $349 / student
Duration 1 day
Format In-person, instructor-led slideshow with exercises and a quiz to test comprehension.
Materials Each student will receive a 3-ring binder containing print-outs of the slideshow. Assuming satisfactory quiz results graded a few days after class, each student will receive a Certificate of Completion.
Start Day
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StateTexas

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About Statistical Process Control (SPC) Training


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, Texas 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 Texas 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.

Texas

The Lone Star State - Don't Mess With Texas

Each possesses its own advantages. For example, Houston is an excellent opportunity to network with oil and gas professionals. Combined, the Dallas / Fort Worth Metroplex is a massive area full of aerospace companies. The US Postal Service also has a substantial presence in Dallas. Austin is a fun city with mostly tech. San Antonio is a famous Toyota location. Although perhaps less known, HEB is huge there along with several banks. Galveston is cool because it's on the Gulf Coast. And some of our classes sail from there on cruise ships. Yep, you read that right. Check it out. Texan cuisine is founded on BBQ, chicken fried steak, chili, fried okra, tex mex, brisket tacos, tortilla soup, Dr. Pepper, frozen margaritas, and pecan pie. Consider a native blue topaz souvenir with stones harvested exclusively from Mason County streambeds and ravines.

Cities

Recommended

Fast-track your Statistical Process Control (SPC) Training registration by choosing one of our most highly recommended cities below.

Houston
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Houston, TX
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San Antonio
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San Antonio, TX
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Austin
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Austin, TX
Credit: Daniel Mayer

Dallas
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Dallas, TX
Credit: Alan Botting

Testimonials

Read what our students and clients have to say.

John C.
John C.
AI / Box Build Lead
Automotive


(For our 5S training), everything was great and helpful. Also, a very funny trainer.