SPC & WinSPC Software Courses

The Virtual Classroom version of the WinSPC Administrator Course delivers the full WinSPC Administrator curriculum in a formalized online environment.  The class replicates the structured experience of in-person training using the same content, including attendance by multiple customers.  Each attendee will access a pre-configured virtual WinSPC environment through a web browser — access to this environment is only available during the training class session.  Attendees will interact with the instructor and other attendees through an online meeting platform (GoToMeeting).  Those with two monitors will be able to watch the instructor and manage their own session side-by-side, each given a full screen.

Dates Offered: (Registration Link)

• March 6th-9th, 2023 (Monday-Thursday) Registration Closed
• April 3rd-6th, 2023 (Monday-Thursday) Registration Open
• May 8th-11th, 2023 (Monday-Thursday) Registration Open
• June 5th-8th, 2023 (Monday-Thursday) Registration Open
• July 10th-13th, 2023 (Monday-Thursday) Registration Open
• August 7th-10th, 2023 (Monday-Thursday) Registration Open
• September 11th-14th, 2023 (Monday-Thursday) Registration Open
• October 9th-12th, 2023 (Monday-Thursday) Registration Open
• November 6th-9th, 2023 (Monday-Thursday) Registration Open
• December 4th-7th, 2023 (Monday-Thursday) Registration Open

Delivery Methods and Cost:

• Delivered virtually in a browser using Cloudshare training technology accessed with GoToMeeting
• Cost is $1500/seat
• Contact your account representative to transfer your existing in-person training credits to virtual seats

Technical Requirements:

• A computer with a modern browser such as Chrome
• An internet connection of at least 5Mbps
• The ability to access remote Cloudshare and GoToMeeting network servers from your network
• The ability to install the GoToMeeting javascript or remote access client components for your chosen platform
• Recommended – Two monitors for viewing and comparing the instructor WinSPC and your WinSPC session simultaneously

Additional Technical Resources

• The GoToMeeting attendee technical requirements for desktops and mobile clients can be found here.
• To test/attempt a GoToMeeting installation on your current device and browser click here.
• To run the CloudShare Connectivity and Speed Test on your current machine click here.
• For tips on improving your browser performance while training click here

Typical Daily Course Schedule

• 9:00 am – 12:00 pm  —  Morning Session (includes several 5-10min breaks)
• 12:00 pm – 12:30 pm  —  Lunch break
• 12:30 pm – 3:00 pm  —  Afternoon Session (includes several 5-10min breaks)
• 3:00 pm – 3:30 pm  —  Q&A Period

Topics Covered in This Course:

• Creating and setting up parts, variables, attributes, tags, and collection plans
• Capturing data from external sources
• Capturing data manually (via keyboard)
• Using control tests and real-time alarms (triggers)
• Monitoring processes in real-time
• Working with dashboards
• Analyzing data
• Working with data sets and data filters
• Generating reports
• Performing core administrative tasks (user setup, password management, etc.)
• Setting up the Cost Inspector to expose the cost of variation and the cost of process offset
• Customizing charts using chart schemes
• And more…

Contact your Services representative to design the course you need.

Delivery Methods and Cost:

• Virtual Classroom: $1200/6-hour block

• 2021 in-person training dates are yet to be determined

Delivery Methods and Cost:

• Come to Our Classroom: $750/student
• We go to Your Classroom: $2000/instructor day, plus lodging and per diem (maximum number of students: 10)

Topics Covered:

• Overview of SPC
• SPC check sheets
• Pareto charts
• Cause-and-Effect diagrams
• Control charts
• Histograms
• Process capability indexes
• Scatter diagrams

Dates Offered in the Southfield (MI) training center: (Registration Link)

• 2021 in-person training dates are yet to be determined

Delivery Methods and Cost:

• In Our Classroom: $1500/student
• At Your location: $2000/instructor day, plus lodging and per diem (maximum number of students: 10)

Topics Covered:

• Creating and setting up parts, variables, attributes, tags, and collection plans
• Capturing data from external sources
• Capturing data manually (via keyboard)
• Using control tests and real-time alarms (triggers)
• Monitoring processes in real-time
• Working with dashboards
• Analyzing data
• Working with data sets and data filters
• Generating reports
• Performing core administrative tasks (user setup, password management, etc.)
• Setting up the Cost Inspector to expose the cost of variation and the cost of process offset
• Customizing charts using chart schemes
• And more…

Topics Covered:

• Overview of SPC
• SPC check sheets
• Pareto charts
• Cause-and-Effect diagrams
• Control charts
• Histograms
• Process capability indexes
• Scatter diagrams

Delivery Methods and Cost:

• Recorded Training: DVD or downloadable file: $500/customer site

Topics Covered:

• WinSPC Environment and Licensing
• Creating Your First Part
• Creating a Variable
• Attributes and Tags
• Collection Plans
• Using Serial Devices to Collect Data
• Collecting Data from Excel
• Control Tests
• Triggers
• The Message Box Trigger
• Lists
• Plant Monitor
• Variable Analyzer
• Data Sets
• Reporting
• Users and Stations
• More Administration

• Statistical Process Control and Process Capability: The objective of this 3-day course curriculum is to provide participants with the analytical tools and methods necessary to: understand SPC fundamentals and the importance of reducing variation; implement control charting in order to assess process stability; interpret control chart signals and implement appropriate reaction plans; determine appropriate sampling plans and sample sizes; assess process capability (for normal and non-normal data); apply charting techniques for short production runs; apply charting methods where multiple sources of variation may exist (e.g., multiple cavities, filling heads); apply SPC for naturally trending data (e.g. due to tool wear); determine the appropriate type of chart for a given process; and avoid common misapplications of SPC in practice.
• Design of Experiments: This 4-day course teaches participants how to plan and conduct experiments in an effective and efficient manner. Participants gain a solid understanding of important concepts and methods to develop predictive models that allow the optimization of product designs or manufacturing processes. Practical examples are presented to illustrate the application of technical concepts. Participants get a chance to design an experiment, analyze the results, and utilize the model(s) to develop optimal solutions.
• Reliability/Weibull Analysis: The objective of this 3-day course is to train participants to: understand reliability concepts and unique aspects of reliability data; understand underlying probability and statistical concepts for reliability analysis; develop competency in the modeling and analysis of time-to-failure data; understand reliability metrics and how to estimate and report them; handle multiple failure modes; estimate reliability of subsystems and systems; become aware of system reliability activities such as Reliability Block diagramming, Reliability importance, and Reliability allocation; determine if reliability specifications are met (at specified confidence level) or whether design improvements are required; develop competency in the planning of reliability tests (sample sizes); develop reliability demonstration test plans (testing time vs. number of units tradeoffs); and analyze existing warranty data to predict future returns.
• Statistics, Hypothesis Testing, and Regression: The objective of this 3-day course is to provide participants with the analytical tools and methods necessary to: describe and summarize data effectively with descriptive statistics and graphical methods; correctly compare groups with respect to means, variability, and proportions by testing hypotheses; estimate key statistics and quantify uncertainty (confidence intervals); characterize expected variation from sample data (tolerance intervals); determine appropriate sample sizes to achieve adequate power for hypothesis tests; and develop, validate, and utilize predictive models. Many practical examples are presented to illustrate the application of technical concepts.
• Measurement Systems Assessment: This 2-day course’s purpose is to provide participants with the analytical tools and methods necessary to: understand key sources of measurement error; design and conduct Gage R&R studies to estimate measurement error components (repeatability, reproducibility); interpret Gage R&R results and identify corrective actions if necessary; plan and conduct Gage R&R studies for attribute systems; apply control charts to monitor measurement systems over time; assess accuracy and linearity of measurement systems; and handle non-replicable systems (such as destructive tests).

For more information on these courses, including their delivery methods and costs, go to integral-concepts.com/training or give Integral Concepts a call at +1 (248) 884-2276 US.