A conceptual readiness framework for statistical process control (SPC) deployment

S. Abdul Halim Lim; J. Antony

doi:10.1109/IEEM.2013.6962422

A conceptual readiness framework for statistical process control (SPC) deployment

S. Abdul Halim Lim
, J. Antony

Management Science & Engineering

University of Strathclyde

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

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.

Original language	British English
Title of host publication	IEEE International Conference on Industrial Engineering and Engineering Management
Publisher	IEEE Computer Society
Pages	300-304
Number of pages	5
ISBN (Electronic)	9781479909865
DOIs	https://doi.org/10.1109/IEEM.2013.6962422
State	Published - 18 Nov 2014
Event	2013 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2013 - Bangkok, Thailand Duration: 10 Dec 2013 → 13 Dec 2013

Publication series

Name	IEEE International Conference on Industrial Engineering and Engineering Management
ISSN (Print)	2157-3611
ISSN (Electronic)	2157-362X

Conference

Conference	2013 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2013
Country/Territory	Thailand
City	Bangkok
Period	10/12/13 → 13/12/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Continuous Improvement
Readiness Framework
Statistical Process Control

Access to Document

10.1109/IEEM.2013.6962422

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Lim, S. A. H., & Antony, J. (2014). A conceptual readiness framework for statistical process control (SPC) deployment. In IEEE International Conference on Industrial Engineering and Engineering Management (pp. 300-304). Article 6962422 (IEEE International Conference on Industrial Engineering and Engineering Management). IEEE Computer Society. https://doi.org/10.1109/IEEM.2013.6962422

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Lim, SAH & Antony, J 2014, A conceptual readiness framework for statistical process control (SPC) deployment. in IEEE International Conference on Industrial Engineering and Engineering Management., 6962422, IEEE International Conference on Industrial Engineering and Engineering Management, IEEE Computer Society, pp. 300-304, 2013 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2013, Bangkok, Thailand, 10/12/13. https://doi.org/10.1109/IEEM.2013.6962422

A conceptual readiness framework for statistical process control (SPC) deployment. / Lim, S. Abdul Halim; Antony, J.
IEEE International Conference on Industrial Engineering and Engineering Management. IEEE Computer Society, 2014. p. 300-304 6962422 (IEEE International Conference on Industrial Engineering and Engineering Management).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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A conceptual readiness framework for statistical process control (SPC) deployment

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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