A case‐based reasoning system development for statistical process control: Case representation and retrieval

A case‐based reasoning system development for statistical process control: Case representation and retrieval

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Article ID: iaor20126769
Volume: 63
Issue: 4
Start Page Number: 1107
End Page Number: 1117
Publication Date: Dec 2012
Journal: Computers & Industrial Engineering
Authors: , ,
Keywords: knowledge based systems, similarity measures, Case-based reasoning, statistical process control
Abstract:

Statistical process control (SPC) is a sub‐area of statistical quality control. Considering the successful results of the SPC applications in various manufacturing and service industries, this field has attracted a large number of experts. Despite the development of knowledge in this field, it is hard to find a comprehensive perspective or model covering such a broad area and most studies related to SPC have focused only on a limited part of this knowledge area. According to many implemented cases in statistical process control, case‐based reasoning (CBR) systems have been used in this study for developing of a knowledge‐based system (KBS) for SPC to organize this knowledge area. Case representation and retrieval play an important role to implement a CBR system. Thus, a format for representing cases of SPC and the similarity measures for case retrieval are proposed in this paper.

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