A Graphical Model to Diagnose Product Defects with Partially Shuffled Equipment Data
نویسندگان
چکیده
منابع مشابه
presenting a model of fuzzy statistical process control with fuzzy mode method to control product defects
the classical control charts by using precise and specified data divide the production process into two groups: in-control or out of control, while the fuzzy sets with the definition continuous and cohesive membership functions and also using ambiguous and vague fuzzy numbers (triangular and trapezoid), it introduces different levels of decisions for the decision makers. in this paper, using th...
متن کاملGraphical model checking with correlated response data.
Correlated response data arise often in biomedical studies. The generalized estimation equation (GEE) approach is widely used in regression analysis for such data. However, there are few methods available to check the adequacy of regression models in GEE. In this paper, a graphical method is proposed based on Cook and Weisberg's marginal model plot. A bootstrap method is applied to obtain the r...
متن کاملA Graphical Data Model For CASE
~omputer-aided software engineering (CASE) applications mvolve several special data modeling requirements, not the least of which is the need to store graphical representations of complex descriptive data. This paper describes the EARNG data model, which is designed to serve as the basis for storage of such data in the context of CASE support tools. The model enables integrated storage of graph...
متن کاملa study on insurer solvency by panel data model: the case of iranian insurance market
the aim of this thesis is an approach for assessing insurer’s solvency for iranian insurance companies. we use of economic data with both time series and cross-sectional variation, thus by using the panel data model will survey the insurer solvency.
Identifying Product Defects from User Complaints: A Probabilistic Defect Model
The recent surge in using social media has created a massive amount of unstructured textual complaints about products and services. However, discovering and quantifying potential product defects from large amounts of unstructured text is a nontrivial task. In this paper, we develop a probabilistic defect model (PDM) that identifies the most critical product issues and corresponding product attr...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Processes
سال: 2019
ISSN: 2227-9717
DOI: 10.3390/pr7120934