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

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.

[1]  Edward A. Feigenbaum,et al.  The rise of the expert company , 1988 .

[2]  Elias M. Awad.  Building Expert Systems: Principles, Procedures, and Applications , 1996 .

[3]  Ronald J. M. M. Does,et al.  A Comparison of Shewhart Individuals Control Charts Based on Normal, Non‐parametric, and Extreme‐value Theory , 2003 .

[4]  D. Macii,et al.  Management of measurement uncertainty for effective statistical process control , 2002, IMTC/2002. Proceedings of the 19th IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.00CH37276).

[5]  Michael Papazoglou,et al.  Multivariate statistical process control of chemical processes , 1998 .

[6]  Agnar Aamodt,et al.  Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches , 1994, AI Commun..

[7]  William H. Woodall.  Statistical Quality Design and Control, Second Edition , 2007 .

[8]  Bel G. Raggad,et al.  Expert System Quality Control , 1996, Inf. Process. Manag..

[9]  Thomas C. Hsiang.  Statistical Process Control: A Guide for Implementation , 1986 .

[10]  Douglas C. Montgomery,et al.  Introduction to Statistical Quality Control , 1986 .

[11]  Marion R. Reynolds,et al.  Control Charts for Monitoring the Mean and Variance of Autocorrelated Processes , 1999 .

[12]  Douglas C. Montgomery,et al.  Using Control Charts to Monitor Process and Product Quality Profiles , 2004 .

[13]  Rassoul Noorossana,et al.  Statistical Analysis of Profile Monitoring , 2011 .

[14]  Frederick T. Chen.  A personal computer based expert system framework for the design of experiments , 1991 .

[15]  Edward G. Schilling,et al.  Juran's Quality Handbook , 1998 .

[16]  Andrzej Kraslawski,et al.  Similarity concept for case-based design in process engineering , 2006, Comput. Chem. Eng..

[17]  Fugee Tsung,et al.  Statistical process control for multistage manufacturing and service operations: A review and some extensions , 2008 .

[18]  G. Born.  Quality assurance and expert systems: principles and practice , 1988 .

[19]  Simon C. K. Shiu,et al.  Foundations of Soft Case-Based Reasoning: Pal/Soft Case-Based Reasoning , 2004 .

[20]  Douglas C. Montgomery,et al.  Selection of the subgroup size and sampling interval for a CUSUM control chart , 1997 .

[21]  I. B. Turksen,et al.  FUZZY CONTROL CHARTS FOR VARIABLE AND ATTRIBUTE QUALITY CHARACTERISTICS , 2006 .

[22]  Wilbert C.M. Kallenberg,et al.  Estimation in Shewhart control charts: effects and corrections , 2004 .

[23]  Elsayed A. Elsayed,et al.  The Optimum Mean for Processes with Normally Distributed Measurement Error , 1999 .

[24]  York Marcel Dekker.  The State of Statistical Process Control as We Proceed into the 21st Century , 2000 .

[25]  John F. Affisco,et al.  Quality assurance and expert systems— A framework and conceptual model , 1990 .

[26]  Douglas C. Montgomery,et al.  A review of statistical process control techniques for short run manufacturing systems , 1996 .

[27]  William H. Woodall,et al.  Controversies and Contradictions in Statistical Process Control , 2000 .

[28]  O. K. Eyada,et al.  A Prolog based expert system for the allocation of quality assurance program resources , 1989 .

[29]  George C. Runger,et al.  Considerations in the monitoring of autocorrelated and independent data , 1997 .

[30]  Mustafa Sefik.  Importance of the rational subgroups in designing control charts , 1998 .

[31]  Donald J. Wheeler,et al.  Understanding Statistical Process Control , 1986 .

[32]  Douglas C. Montgomery,et al.  Short-run statistical process control: Q-chart enhancements and alternative methods , 1996 .

[33]  Thong Ngee Goh,et al.  A shewhart‐like charting technique for high yield processes , 1995 .

[34]  Stelios Psarakis,et al.  Multivariate statistical process control charts: an overview , 2007, Qual. Reliab. Eng. Int..

[35]  Thong Ngee Goh,et al.  Statistical monitoring and control of a low defect process , 1991 .

[36]  Haim Shore.  Non‐normal Populations in Quality Applications: a Revisited Perspective , 2004 .

[37]  Chuen-Sheng Cheng,et al.  Design of a knowledge-based expert system for statistical process control , 1992 .

[38]  Rassoul Noorossana,et al.  On the Monitoring of Autocorrelated Linear Profiles , 2008 .

[39]  T. Harris,et al.  Statistical process control procedures for correlated observations , 1991 .

[40]  Douglas C. Montgomery,et al.  SPC with correlated observations for the chemical and process industries , 1995 .

[41]  Mahmoud A. Mahmoud,et al.  On the Monitoring of Linear Profiles , 2003 .

[42]  Lianjie Shu,et al.  ON MULTISTAGE STATISTICAL PROCESS CONTROL , 2003 .

[43]  S. Bakir.  Distribution-Free Quality Control Charts Based on Signed-Rank-Like Statistics , 2006 .

[44]  Celestine A. Ntuen,et al.  KIMS—a knowledge-based computer vision system for production line inspection , 1989 .

[45]  Ihsan Sabuncuoglu,et al.  An expert system for selecting attribute sampling plans , 1990 .

[46]  Russell A. Boyles,et al.  Phase I Analysis for Autocorrelated Processes , 2000 .

[47]  Willem Albers,et al.  Empirical Non-Parametric Control Charts: Estimation Effects and Corrections , 2004 .

[48]  Douglas C. Montgomery,et al.  Research Issues and Ideas in Statistical Process Control , 1999 .

[49]  Simon L. Kendal,et al.  An introduction to knowledge engineering , 2007 .

[50]  Zachary G. Stoumbos,et al.  Control charts applying a sequential test at fixed sampling intervals with optional sampling at fixed times , 1993 .

[51]  Charles W. Champ,et al.  Effects of Parameter Estimation on Control Chart Properties: A Literature Review , 2006 .

[52]  Ali Cinar,et al.  An intelligent system for multivariate statistical process monitoring and diagnosis. , 2002, ISA transactions.

[53]  Smiley W. Cheng,et al.  Single Variables Control Charts: an Overview , 2006, Qual. Reliab. Eng. Int..

[54]  Walton M. Hancock,et al.  Statistical quality control for correlated samples , 1990 .

[55]  Janet L. Kolodner,et al.  Case-Based Reasoning , 1988, IJCAI 1989.

[56]  Ali Cinar,et al.  Statistical monitoring of multistage, multiphase batch processes , 2002 .

[57]  Thong Ngee Goh,et al.  Two-stage control charts for high yield processes , 1997 .

[58]  Kendal Simon,et al.  An Introduction to Knowledge Engineering , 2006 .

[59]  E. P Paladini,et al.  An expert system approach to quality control , 2000 .

[60]  Shu-Hsien Liao,et al.  Expert system methodologies and applications - a decade review from 1995 to 2004 , 2005, Expert Syst. Appl..

[61]  David R. Cox,et al.  The rights and wrongs of control charts. Discussion. Reply , 1995 .

[62]  William H. Woodall,et al.  Control Charts Based on Attribute Data: Bibliography and Review , 1997 .

[63]  Roland Caulcutt,et al.  The Rights and Wrongs of Control Charts , 1995 .

[64]  Minitab.  Statistical Methods for Quality Improvement , 2001 .

[65]  Abu S.M. Masud,et al.  A knowledge-based advisory system for statistical quality control , 1993 .

[66]  John B. Neuhardt,et al.  Effects of Correlated Sub-Samples in Statistical Process Control , 1987 .

[67]  Robert V. Baxley,et al.  An Application of Variable Sampling Interval Control Charts , 1995 .

[68]  Rjmm Ronald Does,et al.  A framework for implementation of statistical process control , 1997 .

[69]  Mahmoud A. Mahmoud,et al.  A change point method for linear profile data , 2007, Qual. Reliab. Eng. Int..

[70]  Douglas C. Montgomery,et al.  Selection of the subgroup size and sampling interval for a CUSUM control chart , 1997 .

[71]  Lora S. Zimmer,et al.  Statistical Process Control and Quality Improvement , 2002, Technometrics.

[72]  A. J. Morris,et al.  An overview of multivariate statistical process control in continuous and batch process performance monitoring , 1996 .

[73]  Yasser A. Hosni,et al.  Knowledge-based quality control systems , 1988 .

[74]  David Banks,et al.  Is Industrial Statistics Out of Control , 1993 .

[75]  Douglas C. Montgomery,et al.  A Discussion on Statistically-Based Process Monitoring and Control , 1997 .

[76]  Rassoul Noorossana,et al.  Wiley Series in Probability and Statistics , 2011 .

[77]  Agnar Aamodt,et al.  Evaluating CBR Systems Using Different Data Sources: A Case Study , 2006, ECCBR.

[78]  Ian Watson,et al.  Applying Knowledge Management: Techniques for Building Corporate Memories , 2002 .

[79]  M. A. Graham,et al.  Phase I Statistical Process Control Charts: An Overview and Some Results , 2008 .

[80]  Jean-Paul Chilès,et al.  Wiley Series in Probability and Statistics , 2012 .

[81]  John S. Oakland,et al.  Statistical Process Control , 2018 .

[82]  Alan S. Morris,et al.  A fuzzy expert system for fault detection in statistical process control of industrial processes , 2000, IEEE Trans. Syst. Man Cybern. Part C.

[83]  Kwok-Leung Tsui,et al.  Effects of estimation errors on cause-selecting charts , 2005 .