Engineering Training

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.

The intent of the workshop is to provide the participants with the capability to use simulation to analyze and improve organizational performance. The workshop is hands-on, practical, and project focused. Participants will learn how to use FlexSim, a state-of-the-art simulation modeling environment, to address problems in their organization. During the workshop, participants are expected to develop a real, albeit simple, simulation, conduct the appropriate analysis, and present their findings to the class. The workshop is structured so that there is significant time for the participants to interact on a one-on-one basis with MSU modeling experts to facilitate the development of their "real-world" models.

This workshop will provide in-depth exposure to ergonomics definitions, goals and background along with discussions and examples of ergonomics tools for ergonomic evaluations and improve the ergonomics of a company.

This eleven-day workshop is to develop participant skills in the advanced problem-solving techniques that have been popularized under the banner of Six Sigma. Participants will apply these techniques on an approved project. Upon project completion and successfully passing a written examination, participants will receive a Six Sigma Green Belt Certification.

This 11 day workshop requires each student to demonstrate mastery of the Six Sigma Body of knowledge and is accomplished through the participant leading a black belt project which illustrates the DMAIC methodology, use of appropriate statistical tools, and substantial business results. Upon project completion and after successfully passing a written examination participants will receive a Six Sigma Black Belt Certification.

This two day course will provide an introduction to the concepts of Measurement System Analysis (MSA), which is often referred to as Gage Repeatability & Reproducibility (Gage R&R). Participants will hone their individual skills during a step-by-step, instructor led interactive example using sample demonstration parts.

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.

Course objective is to develop participant skills in the recognition and elimination of Waste, and to improve Flow in their operations. Participants will apply these techniques on an approved project.