个人信息Personal Information
副教授
博士生导师
硕士生导师
性别:男
毕业院校:吉林大学
学位:博士
所在单位:数学科学学院
学科:概率论与数理统计. 金融数学与保险精算
办公地点:数学科学学院5楼
电子邮箱:wangxg@dlut.edu.cn
Improvement in quality and productivity of an assembled product: A riskless approach
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论文类型:期刊论文
发表时间:2016-04-01
发表刊物:COMPUTERS & INDUSTRIAL ENGINEERING
收录刊物:SCIE、EI
卷号:94
页面范围:74-82
ISSN号:0360-8352
关键字:Algorithm; Tolerance allocation; Productivity; Assembly; Optimization; Quality improvement
摘要:In this paper, to show the importance of improvement on savings of costs in a riskless sense, the quality loss and manufacturing cost functions are employed to allocate the components tolerances of an assembled product simultaneous with taking appropriate improvement operations. The use of improvement operations reduces the variability of the process while increasing the production costs. To apply improvement operations in a riskless sense, which actually does not impose additional costs to the producers, we take advantages of the trade-off between improvement costs and tolerance costs. Therefore, a series of algorithms are proposed for simultaneous selection of tolerances and improvement operations so as to minimize the total cost. The use of our approach helps considerably save large amounts of computer time by pruning many unnecessary evaluations. It is shown that proper choices of both improvement operations and tolerances have an important impact to enhance productivity and quality. (C) 2016 Elsevier Ltd. All rights reserved.