@inproceedings{0e38c6b77414487a83b441daab3c48bc,
title = "A conceptual readiness framework for statistical process control (SPC) deployment",
abstract = "It is acknowledged that the benefits of statistical process control (SPC) can be accrued not only in the manufacturing industry but also services industry. However, organizations always face challenges and subsequently some of the SPC projects are doomed to fail and cause more financial loss. Many studies have addressed this problem by providing critical success factors (CSFs) as a solution. However, up to this date no study has yet addressed another important component in the successful SPC deployment, which is the readiness level of a company to deploy SPC. The purpose of this paper is to investigate SPC readiness factors and subsequently challenged to develop an SPC readiness framework (SPCRF). A systematic review was applied and resulted nine journal articles. A conceptual framework consists of nine readiness dimensions in SPC deployment were developed based on selected studies and quality awards models.",
keywords = "Continuous Improvement, Readiness Framework, Statistical Process Control",
author = "Lim, {S. Abdul Halim} and J. Antony",
note = "Publisher Copyright: {\textcopyright} 2013 IEEE.; 2013 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2013 ; Conference date: 10-12-2013 Through 13-12-2013",
year = "2014",
month = nov,
day = "18",
doi = "10.1109/IEEM.2013.6962422",
language = "British English",
series = "IEEE International Conference on Industrial Engineering and Engineering Management",
publisher = "IEEE Computer Society",
pages = "300--304",
booktitle = "IEEE International Conference on Industrial Engineering and Engineering Management",
address = "United States",
}
