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

Sarina Abdul Halim Lim · Jiju Antony

5 citations0/0 files storedIEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

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Advanced Statistical Process Monitoring Quality and Supply Management Management Systems and Quality Improvement

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.

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2003Towards a Methodology for Developing Evidence‐Informed Management Knowledge by Means of Systematic Review 2000Technology Readiness Index (Tri)1990A force for change : how leadership differs from management 1998A definition of theory: research guidelines for different theory‐building research methods in operations management 2006How can systematic reviews incorporate qualitative research? A critical perspective 2012Change Readiness 1995Special Section: Toward a Theory of Business Process Change Management 2007Critical success factors of continuous improvement in the public sector

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2020Os fatores que devem ser considerados para uma efetiva implantação do controle estatístico de processo (CEP): uma revisão de literatura

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