Process Capability Control Charts for Monitoring Process Accuracy and Precision

Author:

Kuo Tsen-I1,Chuang Tung-Lin2

Affiliation:

1. Department of Business Administration, National Quemoy University, Kinmen 892, Taiwan

2. Department of Advertising and Strategic Marketing, Ming Chuan University, Taipei 111, Taiwan

Abstract

Process capability index (PCI) is a convenient and useful tool of process quality evaluation that allows a company to have a complete picture of its manufacturing process in order to prevent defective products while ensuring the product quality is at the required level. The aim of this study was to develop a control chart for process incapability index , which differentiates between information related to accuracy and precision. Index measures process inaccuracy as the degree to which the mean departs from the target value, while index measures imprecision in terms of process variation. The most important advantage of using these control charts of , , and is that practitioners can monitor and evaluate both the quality of the process and the differences in process capability. The and charts were instead of Shewhart’s and chart since the process target values and tolerances can be incorporated in the charts for evaluation as a whole, which makes the charts capable of monitoring process stability and quality simultaneously. The proposed , , and control charts enable practitioners to monitor and evaluate process quality as well as differences in process capability. The control charts are defined using probability limits, and operating characteristic (OC) curves used to detect shifts in process quality. The method proposed in this study can easily and accurately determine the process quality capability and a case is used to illustrate the application of control charts of , , and .

Publisher

MDPI AG

Subject

Geometry and Topology,Logic,Mathematical Physics,Algebra and Number Theory,Analysis

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5. Chen, K.-S., Li, F.-C., Lai, K.-K., and Lin, J.-M. (2022). Green Outsourcer Selection Model Based on Confidence Interval of PCI for SMT Process. Sustainability, 14.

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