Abstract
The performance of a control chart can be affected by an inefficient start-up setting and ineffective corrective action following an out of-control condition. In this work, we proposed the double exponentially weighted moving average chart with fast initial response feature (FDEWMA) to monitor the process mean. The Monte Carlo simulation is used to evaluate the run length performance of the FDEWMA chart, in terms of the average run length (ARL), standard deviation of the run length (SDRL) and expected average run length (EARL). The proposed chart is then compared to the existing DEWMA chart without the fast initial response feature. Based on the simulation results, the shift detection ability of the proposed FDEWMA chart is enhanced and is shown to perform better than the DEWMA chart.
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Ng, P.S., Yeong, W.C., Yong, I.SC., Lim, H.T. (2024). A Fast Initial Response Double EWMA Chart for Process Mean. In: Awang, M., Al-Kayiem, H.H., Bor, T.C., Emamian, S.S. (eds) Advances in Material Science and Engineering. ICMMPE 2022. Proceedings in Technology Transfer. Springer, Singapore. https://doi.org/10.1007/978-981-99-5318-9_4
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DOI: https://doi.org/10.1007/978-981-99-5318-9_4
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