A Novel Adaptive Control Chart with Variable Sample Size, Sampling Interval and Control Limits: A three Stage Variable Parameters (TSVP) | Zendy

Ali Deheshvar | Zendy; Hesam Shams | Zendy; Farshid Jamali | Zendy; Zohreh Movahedmanesh | Zendy

Open Access

A Novel Adaptive Control Chart with Variable Sample Size, Sampling Interval and Control Limits: A three Stage Variable Parameters (TSVP)

Author(s) -

Ali Deheshvar,

Hesam Shams,

Farshid Jamali,

Zohreh Movahedmanesh

Publication year - 2012

Publication title -

international journal of business and management

Language(s) - English

Resource type - Journals

eISSN - 1833-8119

pISSN - 1833-3850

DOI - 10.5539/ijbm.v8n2p38

Subject(s) - control chart , chart , statistics , sample size determination , variable (mathematics) , control limits , interval (graph theory) , shewhart individuals control chart , x bar chart , computer science , sampling (signal processing) , mathematics , signal (programming language) , sampling interval , \bar x and r chart , ewma chart , mathematical analysis , process (computing) , combinatorics , programming language , operating system , filter (signal processing) , computer vision

In recent decades, various adaptive X control charts with various variable parameters such as sampling interval, sample size, and control limits have been proposed to improve the efficiency of detecting the out-of-control conditions for small, medium, and large shifts. The variable parameters (VP) adaptive chart is one of these proposed charts that have an acceptable performance compared to other schemes especially for small shifts. In this article we proposed a modified version of VP chart with three stage variable chart parameters and have compared it with some other adaptive charts. Here we used three mostly used indicators to evaluate the performance of these charts which are Average Time to Signal (ATS), Average Number of Observations to Signal (ANOS) and Average Number of Samples to Signal (ANSS). Also we have calculated the optimal points for different adaptive charts and compared them in these points according to the indicators mentioned above.

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