A molding process uses a five-cavity mold for a part used in an automotive assembly. The wall thickness of the part is the critical quality characteristic. It has been suggested to use and R charts to monitor this process, and to use as the subgroup or sample all five parts that result from a single “shot” of the machine. What do you think of this sampling strategy? What impact does it have on the ability of the charts to detect assignable causes?
Answer to relevant QuestionsThe data in Table 6E.1 give the number of nonconforming bearing and seal assemblies in samples of size 100. Construct a fraction nonconforming control chart for these data. If any points plot out of control, assume that ...Surface defects have been counted on 25 rectangular steel plates, and the data are shown in Table 6E.9. Set up a control chart for nonconformities using these data. Does the process producing the plates appear to be in ...Consider the data in Exercise 6.18. Suppose a new inspection unit is defined as 2,500 meters of wire. In exercise a. What are the center line and control limits for a control chart for monitoring future production based on ...Suggest at least two nonmanufacturing scenarios in which attributes control charts could be useful for process monitoring. A company purchases a small metal bracket in containers of 5,000 each. Ten containers have arrived at the unloading facility, and 250 brackets are selected at random from each container. The fraction nonconforming in each ...
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