Economic development of specifications for 100% inspection based on asymmetric quality loss functions

被引:30
作者
Feng, Qianmei [1 ]
Kapur, Kailash C. [1 ]
机构
[1] Univ Washington, Dept Ind Engn, Seattle, WA 98195 USA
关键词
D O I
10.1080/07408170600692226
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
As a means of providing protection for both the producer and the consumer, for example as in airport security, 100% inspection plays an important role in today's environment. The same is true for some industrial or other decision-making processes where the consequences of excessive deviations from target values are very high. Motivated by Deming's "all or none" inspection rule and associated philosophy for quality improvement, we develop an inspection strategy by considering the costs to both the producer and the customer, and thus to the whole system. Ageneral optimization model is formulated to determine whether 100% inspection is to be performed or no inspection to be performed. If complete inspection is chosen then the optimal specification limits can be determined at the same time. Specifically, we consider two types of asymmetric quality loss functions for the "target the best" quality characteristic: the asymmetric quadratic quality loss function, and the asymmetric piecewise linear loss function. For each loss function, we propose an optimization model to determine the optimal process mean and specification limits. Numerical examples are given to illustrate the proposed models that can be used to improve the quality of the output of any process.
引用
收藏
页码:659 / 669
页数:11
相关论文
共 16 条
[1]  
[Anonymous], 1987, SYSTEM EXPT DESIGN
[2]  
Deming W., 1982, Quality, Productivity and Competitive Position
[3]   DETERMINATION OF THE BEST MEAN CONTENTS FOR A CANNING PROBLEM [J].
GOLHAR, DY .
JOURNAL OF QUALITY TECHNOLOGY, 1987, 19 (02) :82-84
[4]  
HOUCK C, 1995, 9509 NCSUIE
[5]  
Kapur K.C., 1988, QUAL ENG, V1, P63, DOI [10.1080/08982118808962639, DOI 10.1080/08982118808962639]
[6]   Economic design of the specification region for multiple quality characteristics [J].
Kapur, KC ;
Cho, BR .
IIE TRANSACTIONS, 1996, 28 (03) :237-248
[7]  
KAPUR KC, 1987, WINT ANN M AM SOC ME
[8]  
KAPUR KC, 1994, QUAL ENG, V6, P401, DOI DOI 10.1080/08982119408918736
[9]  
LADANY SP, 1995, 1995 IEEE ANNUAL INTERNATIONAL ENGINEERING MANAGEMENT CONFERENCE PROCEEDINGS OF, P428, DOI 10.1109/IEMC.1995.524621
[10]   ALLOCATION OF SCREENING INSPECTION EFFORT - A DYNAMIC-PROGRAMMING APPROACH [J].
LINDSAY, GF ;
BISHOP, AB .
MANAGEMENT SCIENCE, 1964, 10 (02) :342-352