Process Capability Index on Acceptance Sampling Plans with R Language

• Main Authors: YAN, JING-FENG, 顏鏡峰
• Other Authors: SHU, MING-HUNG
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/vj482r

碩士 === 國立高雄科技大學 === 工業工程與管理系 === 107 === Acceptance sampling plan is one of the widely used tools for quality management. It refers to random sampling of pre-specified samples from the inspection batch, testing or verification, and comparing the results of testing or verification with the original inspection standards. Therefore, it is judged whether the delivery inspection batch meets the original inspection standard, and then determines whether the delivery batch is accepted or rejected. Process capability analysis refers to the study of process capability, the analysis of variability in the manufacturing process relative to product specifications and the stability of process output variation. The process capability index (PCI) is a measure of process capability performance. The tool is designed to improve the part of the process, and the customer can also know from the producers process capability whether the required product meets the requirements. This study uses the commonly used quality management tools, process capability indicators and acceptance sampling plans, and uses the process capability Cpm indicators as the required quality level, and meets the characteristics of the Cpm estimated values, and designs a single acceptance sampling of the measured values, and assumes the test with the hypothesis. The method is to find the n value of the sample required to meet the OC curve (AQL, ) and (RQL, ) and determine the critical value C value of the approved batch, and make a table of acceptance sampling parameters to provide the buyer and the seller to perform the acceptance sampling plan. The reference basis for the judgment of the shipment. Keywords：Process Capability Index, Acceptance Sampling Plan, R Language