This program is designed for the manufacturer who wants practical solutions in quick order. Therefore, the objective is to get specific processes under Statistical Process Control.
Although many types of data can be collected and charted from a process, some data may be redundant or relatively useless. An initial effort must be made to sort out the list of possible data into the sub-list of the most valuable parameters to monitor. Information such as current yield problems or FMEA identified weak areas of the design or process are prime candidates for such monitoring.
Generating SPC charts takes effort and evaluating takes more effort. It is essential that the charting to be developed is for the “vital few” parameters that need to be monitored.
In this class participants will learn of the different types of variation, the measures of data (location and dispersion), and how to collect and chart data. After appropriate time has passed for significant data collection, a second training day will be conducted to show how to interpret the data collected.
Schedule: Up to the first half-day will be spent in a classroom environment learning the basics of SPC. After the classroom training we will go out on the floor with the team to determine what processes that will be tracked, determine how the data will be collected, and at what point will enough data be collected for analysis.
Ideally, the process should be revisited for an additional day some 30 to 45 days into the charting to verify things are working smoothly and to train the team on how to analyze the data. The general timeline will vary depending on the client’s situation and inclinations but most implementations can be done within this framework.
