Module Summary

Industrial production often involves mass production of the same part. For such parts to properly assemble and function in the final product, it is necessary to keep the variation in quality characteristic to a minimum. The variation in quality characteristics are caused mainly by two sources; known as common and special causes. Statistical process control (SPC) is used to study the process performance and understand sources of variation with the intention of making corrective actions to reduce variation.

This session covers the basic concepts of statistical analysis and their application to practical problems in process control. It will deal with such standard tools as histograms, X-bar and R charts, process capability studies, and sampling plans. It is intended to help attendees decide if SPC will be helpful their activities and whether further training should be sought before applications. Attendees to this session learn how to use histograms, Pareto charts, scatter diagrams, etc. The primary focus of the course will be to help attendees develop a working level understanding of the normal distribution and how to construct control charts for variable and attribute data. The attendees are expected to gather understanding of how to use DOE results for SPC, calculate process capabilities, and learn how to communicate with design engineering in terms of process capabilities.

Key Topics of Discussions (Things you should understand from this overview sessions)

Who Should Attend

Quality Engineers, Process Engineers, Plant Managers, Operators or anyone looking to gain a better understanding of SPC.

Deliverables

Attendees to this session gather basic understanding of the subject and are able to decide who and where further training is needed. Attendees will receive brief seminar presentation materials.

Prerequisites

There is no minimum educational background requirement for this seminar.

Program Length

1 day (Overview)