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Quality control is one of activities in statistical process control. Its main <br /> <br /> <br /> <br /> <br /> objective is constructing a control chart. Development of control chart usually relies <br /> <br /> <br /> <br /> <br...

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Bibliographic Details
Main Author: ENDAH LESTARI (NIM. 20111307)PEMBIMBING : Khreshna I.A. Syuhada, M.Sc, ;PhD Dr. Utriweni Mukhai, TIKA
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/19556
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:Quality control is one of activities in statistical process control. Its main <br /> <br /> <br /> <br /> <br /> objective is constructing a control chart. Development of control chart usually relies <br /> <br /> <br /> <br /> <br /> only on one quality characteristic. In many application, in fact, some characteristics <br /> <br /> <br /> <br /> <br /> are involved and these lead to an idea of multivariate control chart. This thesis is <br /> <br /> <br /> <br /> <br /> aimed at studying a bivariate control chart by employing the concept of prediction <br /> <br /> <br /> <br /> <br /> interval. Specifically, Copula-based prediction control chart is constructed and its <br /> <br /> <br /> <br /> <br /> performance is evaluated numerically.