DEVELOPMENT OF A HYBRID MODEL FOR RECOGNITION AND ANALYSIS OF SIGNIFICANT PATTERNS IN PROCESS CONTROL CHARTS

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KOOCHAKZADEH A.; LESANY S.A.; FATEMI GHOMI S.M.T.

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Journal: JOURNAL OF INDUSTRIAL ENGINEERING RESEARCH IN PRODUCTION SYSTEMS (IERPS) Year:2016 | Volume:3 | Issue:6 Page(s): 177-189

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Title

DEVELOPMENT OF A HYBRID MODEL FOR RECOGNITION AND ANALYSIS OF SIGNIFICANT PATTERNS IN PROCESS CONTROL CHARTS

Author(s)

KOOCHAKZADEH A. | LESANY S.A. | FATEMI GHOMI S.M.T. | Issue Writer Certificate

Keywords

SIGNIFICANT PATTERNSQ2

STATISTICAL PROCESS CONTROLQ2

FITTED LINE OF SAMPLESQ2

LVQ NETWORKQ2

MLP NETWORKQ2

Abstract

Correct recognition and precise classification of SIGNIFICANT PATTERNS in STATISTICAL PROCESS CONTROL charts is unavoidable. Since these unnatural patterns associate out of control conditions. In fact, extraction of unnatural patterns increases the sensitivities of control charts in identification of out of control states. In recent years, because of the abilities of artificial neural networks in patterns recognition, these networks have been used to discriminate unnatural patterns in Shewart control charts. In most of such studies, the misclassification error of patterns is remarkable, especially when the desired sensitivity of process is at high value. This paper proposes a hybrid model for the recognition and analysis of the basic patterns in process control charts using LVQ and MLP NETWORKs along with examining the fitted line of sample points. In the presented model not only the misclassification error at different levels of sensitivities decreases considerably, but when basic patterns occur concurrently, recognition of patterns and assessment of their corresponding parameters will be possible also. The efficiency and effectiveness of the model have been tested by simulated samples.

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APA: Copy

KOOCHAKZADEH, A., LESANY, S.A., & FATEMI GHOMI, S.M.T.. (2016). DEVELOPMENT OF A HYBRID MODEL FOR RECOGNITION AND ANALYSIS OF SIGNIFICANT PATTERNS IN PROCESS CONTROL CHARTS. JOURNAL OF INDUSTRIAL ENGINEERING RESEARCH IN PRODUCTION SYSTEMS (IERPS), 3(6), 177-189. SID. https://sid.ir/paper/241306/en

Vancouver: Copy

KOOCHAKZADEH A., LESANY S.A., FATEMI GHOMI S.M.T.. DEVELOPMENT OF A HYBRID MODEL FOR RECOGNITION AND ANALYSIS OF SIGNIFICANT PATTERNS IN PROCESS CONTROL CHARTS. JOURNAL OF INDUSTRIAL ENGINEERING RESEARCH IN PRODUCTION SYSTEMS (IERPS)[Internet]. 2016;3(6):177-189. Available from: https://sid.ir/paper/241306/en

IEEE: Copy

A. KOOCHAKZADEH, S.A. LESANY, and S.M.T. FATEMI GHOMI, “DEVELOPMENT OF A HYBRID MODEL FOR RECOGNITION AND ANALYSIS OF SIGNIFICANT PATTERNS IN PROCESS CONTROL CHARTS,” JOURNAL OF INDUSTRIAL ENGINEERING RESEARCH IN PRODUCTION SYSTEMS (IERPS), vol. 3, no. 6, pp. 177–189, 2016, [Online]. Available: https://sid.ir/paper/241306/en

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