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Process Capability Indices for Logistic Regression Profile
Author(s) -
Rezaye Abbasi Charkhi Mina,
Aminnayeri Majid,
Amiri Amirhossein
Publication year - 2016
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.1897
Subject(s) - process capability , binomial regression , process capability index , process (computing) , logistic regression , variable (mathematics) , quality (philosophy) , computer science , statistical process control , statistics , regression analysis , econometrics , mathematics , work in process , engineering , operations management , epistemology , operating system , mathematical analysis , philosophy
A profile is a relationship between a response variable and one or more independent variables that can describe the quality of a process or product. On the other side, for an in‐control process, capability indices are the criteria for process quality improvement that allows meeting customer expectations. Recently, evaluating the process capability of profiles has been investigated by some researchers. In all of these efforts, the response variable in the profile follows a normal distribution. However, sometimes, this assumption is violated, and the response variable may follow a binary or binomial distribution. In this paper, we propose two methods to measure the process capability when the quality of a process is characterized by a logistic regression profile. The performance of the proposed indices is evaluated through simulation studies. Finally, the application of the proposed methods is illustrated through a real case. Copyright © 2015 John Wiley & Sons, Ltd.