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2013 (Vol. 6, Issue: 17)
Article Information:

An Approach for Monitoring a Two-stage Process with Profile Qualitative Characteristic in Phase II

Hamid Esmaeeli and Ahmad Sadegheih
Corresponding Author:  Hamid Esmaeeli 

Key words:  Average Run Length (ARL), cascade property, multistage processes, profile monitoring, , ,
Vol. 6 , (17): 3304-3313
Submitted Accepted Published
January 23, 2013 February 22, 2013 September 20, 2013

Aim of this study is introduction one Approach for Monitoring a Two-Stage Process by Profile Quality Characteristic in the Second Stage. Nowadays, many processes are multistage and such processes often depend on each other. The implication is; the specification features for the product that are used to monitor the quality of that product and are usually assessed in one stage of the process, not only take form on the same stage but also take shape in the different phases of the process. This topic in statistical quality control is known as cascade property in multistage processes. In such a case, care must be taken that the lack of attention to this detail will cause an error in the analysis of control charts. Thus, in reviewing the literature, some methods are presented to reduce the error. In many situations, the quality of process or product is described by using the relationship between a response variable and an independent variable. Thus at each stage of sampling, a set of data is collected which can be shown by using a profile. Our goal in this study is to assess the cascade property for evaluating linear profiles that are in various stages of the processes. We have named this project as profile monitoring and evaluation of multistage processes. Hence, in this study, results have been studied by simulation of the average run length in Phase II.
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  Cite this Reference:
Hamid Esmaeeli and Ahmad Sadegheih, 2013. An Approach for Monitoring a Two-stage Process with Profile Qualitative Characteristic in Phase II.  Research Journal of Applied Sciences, Engineering and Technology, 6(17): 3304-3313.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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