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

Authors:
Morteza Behbahani;Abbas Saghaee;Rassoul Noorossana
Affiliations:
Department of Industrial Engineering, Islamic Azad University, Science and Research Branch, Tehran, Iran;Department of Industrial Engineering, Islamic Azad University, Science and Research Branch, Tehran, Iran;Department of Industrial Engineering, Iran University of Science and Technology, Tehran 16846-13114, Iran
Venue:
Computers and Industrial Engineering
Year:
2012

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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.