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Integration Of Data Mining Algorithms And Control Charts For Multivariate And Autocorrelated Processes
(Industrial & Manufacturing Engineering, 2010-03-03)
The objective of this dissertation is to integrate state-of-the-art data mining algorithms with statistical process control (SPC) tools to achieve efficient monitoring in multivariate and autocorrelated process. Process ...
Unsupervised Data Mining Methods For Functional Data Analysis And Feature Selection
(Industrial & Manufacturing Engineering, 2010-03-03)
The objective of this dissertation is to develop new unsupervised data mining methods for functional data analysis and feature selection. Unsupervised learning is a modeling process that facilitates the extraction of ...
Novel Nonparametric Control Charts For Monitoring Multivariate Processes
(Industrial & Manufacturing Engineering, 2010-03-03)
The objective of this dissertation is to develop novel nonparametric control charts to effectively monitor and diagnose multivariate processes with a minimal set of modeling assumptions. Statistical process control (SPC) ...
Methodology To Forecast Product Returns For The Consumer Electronics Industry
(Industrial & Manufacturing Engineering, 2010-03-03)
Reverse logistics has gained much attention in recent years. It is becoming a value added area of a supply chain network day by day. For enterprises, it has therefore become essential to manage the reverse flow of materials ...
Corporate Environmental Performance Rating Methodology
(Industrial & Manufacturing Engineering, 2010-07-19)
Environmental issues are becoming increasingly important to all kinds of stakeholders and companies themselves, not only for cost avoidance due to regulations, laws, cleanup costs, litigations, controversies, etc, but to ...