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Ten key ingredients for making SPC successful in organisations

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Advanced Statistical Process Monitoring Management and Optimization Techniques Management Systems and Quality Improvement

Abstract

Statistical process control (SPC) is a powerful technique for improving process quality by systematically eliminating special or assignable causes of variation. SPC is not a simple and automatic task. The successful application of SPC requires many skills such as engineering, management, statistical, teamwork and planning. Although the use of control charts is a very important aspect of SPC, it is by no means the only one for the implementation of SPC in organisations. Many engineers graduating today from the academic institutions are exposed to only control charts (i.e. different types) and not the other important ingredients for the successful implementation of SPC. This paper will briefly discuss the ten key ingredients that are needed for the effective application of SPC in any organisation.

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References

1990Juran's Quality Control Handbook 1994Quality from Customer Needs to Customer Satisfaction 2012Statistical Process Control 1999Statistical techniques for quality 1997A framework for implementation of statistical process control 1989SPC and continuous improvement 1998Prioritizing processes in initial implementation of statistical process control

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