Statistical process control: requirements for success-M.4 design quality: producibility and process optimization

The author describes the implementation of statistical process control (SPC) from a manager's perspective. He lays the groundwork for SPC both in terms of design and manufacturing, sets the stage for startup, and discusses what critical elements must be present for success. SPCs essential role in design and its relationship with manufacturing are thoroughly detailed. Traditional problem areas of SPC are covered including what process or product parameters need to be controlled, what charting techniques should be used, and how requirements should be levied on suppliers. A few case studies are presented on the successes and failures of several companies' efforts to start an SPC program. Finally, the real and long-term benefits of SPC, including increased communications among all departments, better insights into cost-reduction opportunities, variability-reduction opportunities, continuous quality improvement, and a more effective design-manufacturing interface, are addressed to show why this methodology has great potential for success in today's extremely competitive global environment.<
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