Abstract
Statistical process control (SPC) and engineering process control (EPC) or automatic process control (APC) are two approaches to the control of industrial manufacturing processes. After a discussion of the considerable differences of these approaches in history, theory and industrial implementation, the paper presents a general model of production processes which require the application both of SPC control and EPC control. Some special cases of this model are considered explicitly. For these cases the formulae for the process output as a function of the process parameters and of random deviations are developed.
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© 1998 Birkhäuser Boston
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Göb, R. (1998). On the Integration of Statistical Process Control and Engineering Process Control in Discrete Manufacturing Processes. In: Kahle, W., von Collani, E., Franz, J., Jensen, U. (eds) Advances in Stochastic Models for Reliability, Quality and Safety. Statistics for Industry and Technology. Birkhäuser Boston. https://doi.org/10.1007/978-1-4612-2234-7_20
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DOI: https://doi.org/10.1007/978-1-4612-2234-7_20
Publisher Name: Birkhäuser Boston
Print ISBN: 978-1-4612-7466-7
Online ISBN: 978-1-4612-2234-7
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