This two-day workshop will equip participants with the knowledge and skills necessary to rank the criticality of machines/assets within a manufacturing environment and to implement Failure Modes and Effects Analysis (FMEA) effectively. This allows them to identify and prioritize failure modes, assess risks, and develop mitigation strategies. This is a hands-on interactive workshop that uses the simulated Industry 4.0 factory in our CAVS-E Experiential Learning Lab (C.E.L.L.).

• FMEA (History, Purpose, Implementation)
• Asset Criticality Ranking (Purpose, Implementation)
• Risk Mitigation
• Condition Based Monitoring
• Hands on Activities

Maintenance Managers, Manufacturing Managers, Maintenance Engineers, Maintenance Technicians, Process Engineers, Reliability Engineers, Reliability Managers.

Instructor(s): Jonathan Howell and Jonathan Curtis, PE

Date(s): November 12-13, 2025 (Communiversity)

Time: 8:00AM - 5:00PM

Location: Communiversity - 7003 South Frontage Road Columbus, MS 39701

Cost:$200.00 ¹

Please contact Coretta Price at cprice@cavse.msstate.edu or 601-407-2770 if you have any questions.

¹Pricing is contingent upon participant eligibility for state funding. Eligibility will be assessed during registration. For more information about eligibility click here.

This 3-day (24 Hours) course covers the tasks that an operator, technician, engineer or programmer needs to setup, record and/or troubleshoot programs on a FANUC CRX-Series Collaborative Robot.

Students successfully completing this course will be able to:

• Understand the different types of collaborative operation.
• Understand the requirements for unpacking and installing a new CRX-Series robot.
• Become familiar with the Tablet Teach Pendant and CRX User Interface.
• Perform a backup and restore.
• Jog the robot by manual guidance.
• Create and test motion programs to pick and place workpieces.
• Gain an understand of collaborative functions related to a CRX-Series robot.

The course consists of lectures, chapter reviews, demonstrations, and a series of lab exercises designed to reinforce what the student has learned. In addition to lab exercises, a pre-test and a post-test are used to measure mastery of objectives. Through our partnership with Aim Up, Carver Middleton will provide support for the training program.

This course is intended for the person who must set up and record a program on a Collaborative Series Robot.

Instructor(s): Jonathan Howell

Date(s): December 2-4, 2025

Time: 8:00AM - 5:00PM

Location: MSU CAVS Extension - 153 Mississippi Parkway Canton, MS 39046

Cost:$475.00 ¹

Please contact Coretta Price at cprice@cavse.msstate.edu or 601-407-2770 if you have any questions.

¹Pricing is contingent upon participant eligibility for state funding. Eligibility will be assessed during registration. For more information about eligibility click here.

This two day workshop is structured so that participants gain a solid understanding of the use of Statistical Process Control to drive process improvement. The class is taught through a balance lecture, class discussion, class exercises, and follow-on participant projects. Specific topics include both variables and attribute control charting. Specific variables control charting tools include X-BAR and R charts, as well as X and Moving R. Specific Attribute charting techniques are also presented including P, C, and U Charts. Also process capability indexes are presented and explained (i.e., Cp, Cpk, Pp, Ppk). Throughout the class a strong emphasis is placed on how to connect SPC with root causes oriented problem solving. Key concepts are reinforced through the use of catapults to simulate the real world linkage between SPC and process improvement.

• Basics of Process Variation
• Introduction to the Control Chart
• Using Systematic Problem Solving to Drive Improvement
• How a Control Chart Really Works
• Basic Measures of Process Capability
• SPC Class Exercise using Catapults

Who Should Attend? Manufacturing Engineers, Quality Engineers, Managers, Supervisors, and other professionals.

Instructor(s): Adam Collins, PE

Date(s): December 4-5, 2025 (Canton, MS)

Time: 8:00AM - 5:00PM

Location: MSU CAVS Extension - 153 Mississippi Parkway Canton, MS 39046

Cost:$175.00 ¹

Please contact Coretta Price at cprice@cavse.msstate.edu or 601-407-2770 if you have any questions.

¹Pricing is contingent upon participant eligibility for state funding. Eligibility will be assessed during registration. For more information about eligibility click here.

This two day workshop is structured so that participants gain a solid understanding of the use of Statistical Process Control to drive process improvement. The class is taught through a balance lecture, class discussion, class exercises, and follow-on participant projects. Specific topics include both variables and attribute control charting. Specific variables control charting tools include X-BAR and R charts, as well as X and Moving R. Specific Attribute charting techniques are also presented including P, C, and U Charts. Also process capability indexes are presented and explained (i.e., Cp, Cpk, Pp, Ppk). Throughout the class a strong emphasis is placed on how to connect SPC with root causes oriented problem solving. Key concepts are reinforced through the use of catapults to simulate the real world linkage between SPC and process improvement.

• Basics of Process Variation
• Introduction to the Control Chart
• Using Systematic Problem Solving to Drive Improvement
• How a Control Chart Really Works
• Basic Measures of Process Capability
• SPC Class Exercise using Catapults

Who Should Attend? Manufacturing Engineers, Quality Engineers, Managers, Supervisors, and other professionals.

Instructor(s): Adam Collins, PE

Date(s): March 12-13, 2026 (Canton, MS)

Time: 8:00AM - 5:00PM

Location: MSU CAVS Extension - 153 Mississippi Parkway Canton, MS 39046

Cost:$175.00 ¹

Please contact Coretta Price at cprice@cavse.msstate.edu or 601-407-2770 if you have any questions.

¹Pricing is contingent upon participant eligibility for state funding. Eligibility will be assessed during registration. For more information about eligibility click here.