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