A SEQUENTIAL INSPECTION PLAN FOR MARKOV DEPENDENT PRODUCTION PROCESSES

被引:9
作者
BHAT, UN
LAL, R
KARUNARATNE, M
机构
[1] Department of Statistical Science, Southern Methodist University, Dallas, TX
关键词
D O I
10.1080/07408179008964158
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Single sampling plans used for lot acceptance are modified for use in monitoring production processes which exhibit Markov dependence in quality attributes. An augmented Markov chain model is employed for the determination of plan characteristics. Plans for dependent processes are compared with those for independent processes through numerical computations. © 1990 Taylor & Francis Group, LLC.
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页码:56 / 64
页数:9
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