AI Article Synopsis

  • The application of Preventive Maintenance (PM) and Statistical Process Control (SPC) is crucial for enhancing product quality, minimizing failures, and lowering production costs.
  • There are gaps in understanding their combined use, such as the limitations of X-bar control charts in managing variability and the need for statistical constraints along with economic considerations in control chart design.
  • The paper introduces an Economic Statistical Design (ESD) for joint X-bar-S control charts, integrating PM with diverse failure distributions, and highlights significant cost savings when applying PM in high failure rate processes.

Article Abstract

The application of Preventive Maintenance (PM) and Statistical Process Control (SPC) are important practices to achieve high product quality, small frequency of failures, and cost reduction in a production process. However there are some points that have not been explored in depth about its joint application. First, most SPC is performed with the X-bar control chart which does not fully consider the variability of the production process. Second, many studies of design of control charts consider just the economic aspect while statistical restrictions must be considered to achieve charts with low probabilities of false detection of failures. Third, the effect of PM on processes with different failure probability distributions has not been studied. Hence, this paper covers these points, presenting the Economic Statistical Design (ESD) of joint X-bar-S control charts with a cost model that integrates PM with general failure distribution. Experiments showed statistically significant reductions in costs when PM is performed on processes with high failure rates and reductions in the sampling frequency of units for testing under SPC.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3601122PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0059039PLOS

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