Single Sampling Inspection Plans based on Fuzzy Theory

• Main Authors: Pei-Ching Huang, 黃珮菁
• Other Authors: Ching-Ho Leu
• Format: Others
• Language: zh-TW
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/87751164036241964280

碩士 === 國立成功大學 === 統計學系碩博士班 === 94 === Sampling inspection is an important subject in quality controls. Consider the restrictions of cost, time or reality problems, the manufacturer is unable to inspect all products, so they will inspect samples randomly, and compare with test criterion to judge the lot of products should be accepted or rejected. By this process, we can make sure the quality of outgoing productions. The observations of traditional sampling inspection are supposed precise number, for instances, the fraction defective p, producer’s risk, and consumer’s risk...and so on. However, it is difficult to keep a process in control with a fixed process level for a long period of time, so we get the vague number p instead of precise one. However, the producer’s risk and consumer’s risk should be decided by producer and consumer, so we consider they are both precise numbers. Based on above assumptions, the fuzzy theory is applied in single sampling inspection plans in this thesis, including the sampling plan of given strength and Dodge and Roming LPTD system. Also, we compared the proposed methods with traditional and other fuzzy sampling inspection methods. The result shows that the proposed sampling plans of given strength have steadier producer's risks and consumer's risks than JIS Z9002, and the proposed Dodge and Roming LPTD system sampling plan by using the center of area method can avoid the problem on the choice of delta values when using delta-cut method.