Monitoring Process Variability and Root Cause Analysis in Paper Box Production

  • Authors

    • Rohayu Mohd Salleh
    • Ng Jin Chuan
    • Sabariah Saharan
    2018-11-30
    https://doi.org/10.14419/ijet.v7i4.30.22377
  • Hotelling’s T2, Multivariate Statistical Process Control, MYT decomposition

  • Abstract

    In this paper, monitoring procedure for process variability in multivariate setting based on individual observations which is a combination of (i) Hotelling’s T2 control chart in detecting out of control signal and (ii) implementation of Mason, Young and Tracy (MYT) decomposition and structure analysis technique for root cause analysis is introduced. The advantages of this procedure will be shown by using the case of a paper box production process in one of the Malaysian manufacturing companies. The successful application of this multivariate approach could act as a stimulant for most industries to imitate in process monitoring. Moreover, the computation efficiency in root cause analysis enables quality’s multiple characteristics to be monitored simultaneously. Based on the findings, the core issue that needs to be a matter of concern by the management team is the closure tap of the box. This process variation should be solved immediately to avoid the products’ quality from further deteriorating.

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  • How to Cite

    Salleh, R. M., Chuan, N. J., & Saharan, S. (2018). Monitoring Process Variability and Root Cause Analysis in Paper Box Production. International Journal of Engineering & Technology, 7(4.30), 492-497. https://doi.org/10.14419/ijet.v7i4.30.22377

    Received date: 2018-11-29

    Accepted date: 2018-11-29

    Published date: 2018-11-30