Abstract
Statistical process control (SPC) is a technique for error prevention rather than error detection. SPC products will be of the required quality because they are manufactured properly rather than because they are inspected. Thus, it increases productivity by reducing scrap and rework and provides continuous process improvement. Other methods — such as flexible manufacturing systems (FMS), computer integrated manufacturing (CIM) and just-in-time (JIT) — which have aimed at increasing productivity, concentrate on hardware flexibility, integration of information flow or reduction of inventory. Seldom does a system use technology flexibility to produce the correct product.
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Further Reading
Amsden, D., Butler, H. and Amsden, R. (1991) SPC Simplified for Services, Chapman & Hall.
DataMyte, (1989) DataMyte Handbook, DataMyte Corp.
Feigebaum, A.V. (1983) Total Quality Control, McGraw-Hill.
Hakes, C. (ed.) (1991) Total Quality Management, Chapman & Hall.
Lochner, R.H. and Matar, J.E. (1990) Designing for Quality, Chapman & Hall.
Lyonnet, P. (1991) Tools of Total Quality, Chapman & Hall.
Wetherill, G.B. and Brown, D.W. (eds) (1990) Statistics Process Control, Chapman & Hall.
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© 1995 Springer Science+Business Media Dordrecht
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Halevi, G., Weill, R.D. (1995). SPC — statistical process control. In: Principles of Process Planning. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-1250-5_12
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DOI: https://doi.org/10.1007/978-94-011-1250-5_12
Publisher Name: Springer, Dordrecht
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