Abstract
PurposeThe purpose of this paper is to put forward the view that systems theory, cybernetics, information theory, and dissipative structure theory should be the fundamental principles underlying quality management. These “new sciences” relate to quality management not just in terms of philosophy but also in the requirements of the well‐structured quantitative analysis methods.Design/methodology/approachDiscusses several issues in quality management and control from the views of the new sciences, then proposes the concept of computer‐aided statistical process control (CASPC) to bridge traditional statistical process control and automatic process control, and the use of ARIMA models to achieve CASPC for linear systems.FindingsNotes that there are implications of the new sciences for quality control and presents a discussion of same.Originality/valueIs of value by pointing out that computer‐aided statistical process control for dynamic systems can be the realistic way of leading towards more advanced systematic control approaches.
Published Version
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