Identification of the out-of control variable(s) in the process of producing Needle valves in gas industries
- Department of Mathematics, Behbahan Branch, Islamic Azad University, Behbahan, Iran.
- Department of Industrial Engineering, North Tehran Branch, Islamic Azad University, Tehran, Iran.
- Department of Industrial Engineering, North Tehran Branch, Islamic Azad University, Tehran, Iran.
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Multivariate statistical quality control is one of the branches of statistical process control which is quickly under the development. Now a days in the most industries we are encountered with the conditions in them multi dependent characters must be controlled concurrently. In this article, the control of several variables is used practically in the production line of Needle valves in gas industries. By paying attention to the correlation of the exiting variables, it seems essential to use from these multi-variables controlling, and then, after making the historical Data, and estimating the parameters, the T2 control chart construct for new observations from process, and then we can identify the out-of-control observations, and finally by using MYT algorithm, the deviation variable(s) in this observations is detected. Then by studying the process, the reason of deviation were recognized and finally several methods were introduced in order to improve the process in two parts which including the improvement in work instruments and the technical structure of Needle valves.
[Mehdi Goldoost, Javad Ebrahimi, Saeid Fallah (2015); Identification of the out-of control variable(s) in the process of producing Needle valves in gas industries Int. J. of Adv. Res. 3 (Sep). 224-230] (ISSN 2320-5407). www.journalijar.com
