Better Statistical Test for Process Capability Index $C_p$
Joong-Jae Cho, Soo-Duck Lim
Abstract
Joong-Jae Cho, Soo-Duck Lim
Abstract
The process capability indices are widely used to measure the capability of the process to manufacture items within the specified tolerance. Most evaluations on process capability indices focus on point estimates, which may result in unreliable assessments of process performance. The index has been widely used in various industries to assess process performance. In this paper, we propose new testing procedure on assessing index for practitioners to use in determining whether a given process is capable. The provided approach is easy to use and the decision making is more reliable. Whether a process is clearly normal or nonnormal, our bootstrap testing procedure could be applied effectively without the complexity of calculation. A numerical result based on the proposed approach is illustrated.
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The process capability indices are widely used to measure the capability of the process to manufacture items within the specified tolerance. Most evaluations on process capability indices focus on point estimates, which may result in unreliable assessments of process performance. The index has been widely used in various industries to assess process performance. In this paper, we propose new testing procedure on assessing index for practitioners to use in determining whether a given process is capable. The provided approach is easy to use and the decision making is more reliable. Whether a process is clearly normal or nonnormal, our bootstrap testing procedure could be applied effectively without the complexity of calculation. A numerical result based on the proposed approach is illustrated.
Key concepts: Process capability, Process capability index, Process (computing), Reliability engineering, Computer science, Measure (data warehouse), Index (typography), Point (geometry)