Paper Info
Title
A new mixed chain sampling plan based on the process capability index for product acceptance.
Abstract
This article proposes a new mixed chain sampling plan based on the process capability index C-pk, where the quality characteristic of interest follows the normal distribution with unknown mean and variance. The advantages of this proposed mixed sampling plan are also discussed. Tables are constructed to determine the optimal parameters for practical applications. In order to construct the tables, the problem is formulated as a nonlinear programming where the objective function to be minimized is the average sample number and the constraints are related to lot acceptance probabilities at acceptable quality level and limiting quality level under the operating characteristic curve. The practical application of the proposed mixed sampling plan is explained with an illustrative example. Comparison of the proposed sampling plan is also made with other existing sampling plans.
Year
DOI
Venue
2017
10.1080/03610918.2016.1158833
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
Keywords
Field
DocType
Application,Chain sampling,Decision making,Mixed sampling plan,Nonlinear programming,Process capability index,62P30,78M50,90B25,90C30
Normal distribution,Mathematical optimization,Nonlinear programming,Sampling (statistics),Process capability index,Quality level,Statistics,Acceptable quality limit,Average sample number,Mathematics,Limiting
Journal
Volume
Issue
ISSN
46
7
0361-0918
Citations 
PageRank 
References 
0
0.34
1
Authors
1
Name
Order
Citations
PageRank
S. Balamurali15510.40