Exam 17: Process Improvement Using Control Charts

For a manufacturing process, $\overline { \overline X }$ = 10 inches, $\overline { \mathrm { R } }$ = )4 inches,and the subgroup sample size is 6 units.Calculate the natural tolerance limits for this process.

Assume that 25 samples of 50 each are taken and the total number of defectives is 34.Calculate $\bar { p }$ )

When employing measurement data to study a process,the ____________ monitors the process mean.

How well a process is able to meet the requirements set forth by the process design is called the quality of design.

Which of the following control charts is designed to control the proportion of nonconforming units?

A control chart on which subgroup ranges are plotted versus time is a(n)_____ chart.

In a manufacturing process,if the limits for a control chart are set too _____________,the risk of unnecessarily tampering with the process ____________.

A powder metal manufacturing company is producing sleeves for a locking mechanism.The target (nominal)value for the inside diameter is 1 inch.The inside diameter specifications are 1 ± .005 inches.Assume that the process is in statistical control with $\overline { \overline{ X } }$ = 1)0002 inches, $\overline { \mathrm { R } }$ = )003 inches,and subgroup size of 5.What are the natural tolerance limits for this process? Is the process capable?

If a control chart is used correctly,and the necessary corrective actions are taken,as the control limits get ____________,the potential quality of the product _____________.

The natural tolerance limits for a normally distributed process that is in statistical control:

If $\overline { \overline { X } }$ = 5)2, $\bar { R }$ = )3,and n = 4,and if the specifications are [4.6,5.8],is the process capable?

How well the design of a product or service meets and exceeds the needs and expectations of the customer is called:

If $\bar { p }$ = )0139 and 25 shipments of 20 items each were examined,what are the UCL and the LCL for the p chart?

If $\overline { \overline { X } }$ = 2)0144, $\bar { R }$ = )0972,and there are 25 subgroups of size 5,find the UCL and the LCL for the R chart.

How well a product or service performs in the marketplace is called:

For a manufacturing process, $\overline { \overline X }$ = 10 inches, $\overline { \mathrm { R } }$ = )4 inches,and the subgroup sample size is 6 units.Calculate the standard control limits for the R chart.

A motorcycle manufacturer produces the parts for its vehicles in different locations and transports them to its plant for assembly.To keep the assembly operations running efficiently,it is vital that all parts be within specification limits.One important part used in the assembly is the engine camshaft,and one important quality characteristic is the case hardness depth.Specifications state that the hardness depth must be between 3.0 mm and 6.0 mm.To investigate the process,the quality control engineer selected 25 daily subgroups of n = 5 and measured the hardness depth.The process yielded a mean of the means $\overline {\overline { x } }$ = 4)50 and an average range = 1.01.How many standard deviations of leeway exist between x and the specification closest to x?

Suppose that $\overline { \mathrm { X } }$ And R charts based on subgroups of size 4 are being used to monitor the tire diameter of a new radial tire.The $\overline { \mathrm { X } }$ And R charts are found to be in statistical control with $\overline { \overline { X } } = 50.25 , \bar { R } = .8$ Inches.A histogram of the tire diameter measurements indicates that these measurements are approximately normally distributed.If the tire diameter specifications are 50 inches ± 1 inch,is the process capable of meeting the specifications?

A cause-and-effect diagram enumerates the potential causes of an undesirable effect on the process to discover sources of process variation and to identify opportunities for process improvement.

If a manufacturing process is in statistical control,it means that the process is capable of producing products that meets the customer's needs.