MH Abooie, M Amin Nayeri


The paper proposes an efficient approach to detecting an increase in the fraction of nonconformingitems. The novelty of the paper is its utilization of the concept of the Bayesianrule and construction of a Bayesian control chart. This approach is significantly better thancertain existing effective approaches in detecting small deviations. The major applicationof the charts is in high-tech industries and short run processes where the detection of smalldeviations and the evaluation of the initial setup are very important. The simulated resultsfor the average run length profiles demonstrate the superiority of the new approach againstthe standard p chart, binomial EWMA and moving average approach. The new approach iseasy to understand and may be attractive and useful to researchers, while it can also be aneffective alternative for other existing approaches.

Full Text:


DOI: https://doi.org/10.7166/20-2-764


  • There are currently no refbacks.

Copyright (c) 2015 The South African Journal of Industrial Engineering

ISSN 2224-7890 (on-line)

Powered by OJS and hosted by Stellenbosch University Library and Information Service since 2011.


This journal is hosted by the SU LIS on request of the journal owner/editor. The SU LIS takes no responsibility for the content published within this journal, and disclaim all liability arising out of the use of or inability to use the information contained herein. We assume no responsibility, and shall not be liable for any breaches of agreement with other publishers/hosts.

SUNJournals Help