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Information Seminar Paper

Title

A SELF-STARTING CONTROL CHART FOR MONITORING BINARY RESPONSE PROFILES

Pages

  -

Abstract

 IN SOMEPROCESSES THE QUALITY CHARACTERISTIC IS CHARACTERIZED BY A FUNCTIONAL RELATIONSHIP BETWEEN A RESPONSE VARIABLE AND PREDICTOR VARIABLES WHICH IS NAMED AS PROFILE. THE RESPONSE VARIABLE IN PROFILESUSUALLYFOLLOWS NORMAL DISTRIBUTION. HOWEVER, SOMETIMES THE RESPONSE VARIABLES HAVE DIFFERENT DISTRIBUTIONSSUCH AS BERNOULLI OR BINOMIAL. ON THE OTHER HAND, IN MANY SITUATIONS IN REAL APPLICATIONS THE IN-CONTROL (IC) PARAMETERS OF THE PROCESSES ARE NOT KNOWN A PRIORI AND ALSO THERE ARE NO SUFFICIENT SAMPLES TO EXECUTE PHASE I ANALYSISTO ESTIMATE THE IN-CONTROL PARAMETERS. IN THIS CASE, WE DESIRETO USESELF-STARTING CHARTING SCHEMES THAT MONITORTHE STATUES OFPROCESSES. IN THIS STUDY, WE CONSIDER LOGISTIC REGRESSION PROFILESWHICH HAVE BINARY RESPONSEVARIABLEAND PROPOSE A SELF-STARTING PROCEDURE TO MONITOR THE PROCESS. THE PERFORMANCE OF THE PROPOSED METHOD IS EVALUATED BY USING AVERAGE RUN LENGTH (ARL) CRITERION. THE RESULTS SHOWEDASATISFACTORY PERFORMANCE OFTHE PROPOSED CONTROL CHART.

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  • Cite

    APA: Copy

    KHOSRAVI, PEYMAN, & AMIRI, AMIRHOSSEIN. (2017). A SELF-STARTING CONTROL CHART FOR MONITORING BINARY RESPONSE PROFILES. INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING. SID. https://sid.ir/paper/936603/en

    Vancouver: Copy

    KHOSRAVI PEYMAN, AMIRI AMIRHOSSEIN. A SELF-STARTING CONTROL CHART FOR MONITORING BINARY RESPONSE PROFILES. 2017. Available from: https://sid.ir/paper/936603/en

    IEEE: Copy

    PEYMAN KHOSRAVI, and AMIRHOSSEIN AMIRI, “A SELF-STARTING CONTROL CHART FOR MONITORING BINARY RESPONSE PROFILES,” presented at the INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING. 2017, [Online]. Available: https://sid.ir/paper/936603/en

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