Developing an Operating Platform for Process Performance Assessment and Sampling Plans Based on Process Capability Indices

• Main Authors: Chen, Kuan Chieh, 陳冠潔
• Other Authors: Wu, Chien Wei
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/87901325178068977250

碩士 === 國立清華大學 === 工業工程與工程管理學系 === 104 === Acceptance sampling plans are practical tools for quality control management which provide decision rules for lot acceptance determination between producers and customers. Those sampling plans provide both producers and customers a common rule to meet their preset requirements on product quality and allowable risk. Lots of researchers had developed different variables sampling plans based on process capability indices in the recent years. However, for their practical use in the industry applicable platforms are necessary. In order to shorten the gap between academic research and industry, in this paper, we develop an operating platform by combing process performance assessment and different sampling plans which are based on the both one-sided and two-sided process capability indices. The operating platform, which integrates seven different variables sampling plans and process performance assessment, can mainly be divided into three parts. First, obtaining critical value and sample size by solving two non-linear equations. Secondly, data analysis and decision-making. Lastly, comparing different variables sampling plans by operating characteristic (OC) curve and average sample size (ASN). The plan parameters are determined by solving two non-linear equations simultaneously and fulfill the two-point condition on the OC curve. The OC curve of all the proposed plans in this paper is derived under the exact sampling distribution.