Application of Multi-Objective Programming for Economic Design of Double Sampling X bar Control Chart

• Main Authors: Hong-Yong, Chang, 張弘勇
• Other Authors: Chau-Chen Torng
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/47541934624111491971

碩士 === 國立雲林科技大學 === 工業工程與管理系 === 102 === Statistical process control (SPC) is an important tool of improvement in the quality management. Control charts are widely used for improve quality. However, there are many competitors in industrial. Therefore quality difference was not significant. If enterprises or factories could decrease the cost would create more benefit. Duncan developed the design of economic applied for X bar control chart first. And setting minimization cost as the objective of economic in his model. Actual, enterprises or industries would not consider single objective only, it might consider multiple objective. In this paper the expected cost per time unit, stable process and process with mean shifted number of sampling were considered as objective. Multi-objective genetic algorithms were used to solve multi-objective model. And desirability function was used to integrate objectives. Then compare with traditional double sampling X bar control chart design of economic. Result, the expected cost per time unit, table of process and process mean shifted of sampling number of multi-objective model has better performance than traditional double sampling X bar control chart design of economic.