In this single-player simulation, students learn how to manage quality in service, healthcare, and manufacturing settings through the use of analytics related to statistical process control, process capability, and the cost of quality. The 4 different challenges within the simulation ask students to calculate control limits, use control limits in real time to maintain control of a process, analyze control charts post hoc to determine whether a process is capable, and make managerial investments in preventive measures that contribute to the cost of quality in order to minimize the total cost of quality. In order to play the simulation, students are expected to have basic knowledge about the purpose of control charts, calculation of control limits for X-bar and R charts, interpretation of control charts, and process capability.

Please answer the following questions:

How did you calculate the control limits? What were your control limits? Should everyone in the class have exactly the same control limits? Why do we need to use both X-bar and R charts together? Why cant we use one or the other? How did you know when to stop the process to make adjustments? How did the use of control limits reduce the possibility of Type I errors? Type II errors? What does it mean when a process is in control? What were your process capability indices for each of the 4 companies? How did you know which of the process capability index formulas to use? How did you determine what the process mean was? What was the best total cost of quality that you achieved? How did you achieve it? How do prevention costs interact with internal failure costs and external failure costs?

it's based on simulation of quality analytics