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    Abstract
2013 (Vol. 6, Issue: 08)
Article Information:

An Efficient Novel Compensatory Multi-attribute Control Chart for Correlated Multinomial Processes

Sadigh Raissi, Amir Sarabadani and Ahmad Reza Baghestani
Corresponding Author:  Sadigh Raissi 

Key words:  Average Run Length (ARL), multi-attribute control chart, Statistical Process Control (SPC), weighted quality characteristics, , ,
Vol. 6 , (08): 1402-1407
Submitted Accepted Published
September 24, 2012 December 10, 2012 July 10, 2013
Abstract:

Monitoring multi-attribute processes is an important issue in many quality control environments. Almost all the priory proposed control charts utilize equal weights for each Attribute Quality Characteristics (AQCs). In such condition, there is no priority among AQCs. But in real-world, compensatory may exist. Hence due to some applied reasons such as function or efficiency, unequal weights for each AQC are possible. This study proposed a novel efficient control chart for simultaneous monitoring of weighted AQC when data expressed by linguistic terms. Correspondingly a new procedure to interpret out-of-control signals is presented. Performance and comparison advantage of the proposed control chart is measured in terms of Average Run Length (ARL) using a real case which priory was expressed. Consequences displayed that considering weight could efficiently extend the prior research for practical circumstancese.
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  Cite this Reference:
Sadigh Raissi, Amir Sarabadani and Ahmad Reza Baghestani, 2013. An Efficient Novel Compensatory Multi-attribute Control Chart for Correlated Multinomial Processes.  Research Journal of Applied Sciences, Engineering and Technology, 6(08): 1402-1407.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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