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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/75861


    Title: Monitoring and diagnosing process loss using a weighted-loss control chart
    Authors: Yang, Su-Fen;Lin, Liang Yu
    楊素芬;林亮妤
    Contributors: 統計系
    Keywords: Control charts;Loss control;Loss functions;Variable sampling intervals;Markov processes
    Date: 2014-11
    Issue Date: 2015-06-16 17:08:50 (UTC+8)
    Abstract: Product and service quality and productivity loss are all crucial competitive factors of companies in numerous industries. The loss function is a popular method for measuring the loss caused by variations in product or service quality. This study proposes a weighted-loss (WL) control chart to monitor the loss variation among manufacturing or service processes. Because loss is caused by a quality variable deviating from its target value, we set up two corresponding control charts to diagnose the sources of out-of-control loss and implement processes to correct these losses. We further present a WL chart using optimal variable sampling intervals (VSIs) in order to detect out-of-control losses faster compared with a WL chart using a fixed sampling interval (FSI). An example then demonstrates and evaluates the ability of the proposed VSI WL control chart to monitor and diagnose out-of-control process loss. Numerical analyses indicate that the optimal VSI WL chart outperforms the FSI WL chart, the joint X¯ and S2 charts and the VSI Average Loss chart in detecting out-of-control process loss. Thus, the proposed VSI WL chart is recommended.
    Relation: Quality and Reliability Engineering International, 30(7), 951-959
    Data Type: article
    DOI link: http://dx.doi.org/10.1002/qre.1670
    DOI: 10.1002/qre.1670
    Appears in Collections:[Department of Statistics] Periodical Articles

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