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Pesquisa Operacional

Print version ISSN 0101-7438On-line version ISSN 1678-5142

Abstract

AL-NASSER, Amjad D.; CIAVOLINO, Enrico  and  AL-OMARI, Amer. EXTREME RANKED REPETITIVE SAMPLING CONTROL CHARTS. Pesqui. Oper. [online]. 2020, vol.40, e226135.  Epub May 18, 2020. ISSN 1678-5142.  http://dx.doi.org/10.1590/0101-7438.2020.040.00226135.

In this paper, we proposed a new ranked data control chart using repetitive sampling criterion to increase the performance of detecting any shift in mean process. For the comparisons target, the average run length (ARL) of the proposed control chart based on repetitive extreme ranked set sampling computed using exact and estimated parameters. The results showed that the ARL affected negatively by the parameter estimation. Moreover, the performances of the proposed control chart is evaluated and compared with similar control chart that obtained by using different sampling schemes such as the simple random sampling, ranked set sampling, extreme ranked set sampling and repetitive ranked set sampling.. The results showed that the ranked data based control chart outperform the classical control chart in terms of the ARL.

Keywords : extreme ranked set sampling; ranked set sampling; repetitive sampling; Shewhart control chart; average run length.

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