MTDA 2014 - Symposium on Methodology and Technology for Data Analysis in Manufacturing System and Quality Engineering

Organizer: Professor Gao Jianmin, State Key Laboratory for Manufacturing Systems Engineering of China, School of Mechanical Engineering, Xi'an Jiaotong University，No.28, Xianning West Road, Xi'an, Shaanxi, 710049, P.R. China
E-mail: gjm-AT-mail.xjtu.edu.cn
Massive data created from manufacturing system has becoming a valuable resource in Big Data Time. Hence, digital, network and intelligence is the typical characteristics of a modern manufacturing system. Data extraction, dealing with, analysis and comprehensive utilization becomes an enabling technology for a manufacturing system to be digitization, networking and intelligent. That is, methods and technologies of analyzing massive and complex structure data of a manufacturing system has a significant impact for safety operating and quality engineering.
The goal of this symposium is to provide a venue to where researchers, scientists, engineers and practitioners throughout the world can present and discuss the latest achievements, future challenges and exciting novel data analysis methods and technologies that will enable to improve the operating and control techniques of the modern manufacture system to suit for the requirement of the Big Data Time.
This symposium covers all fields of data analysis through inspecting, cleaning, transforming, and modeling to discover useful information, get conclusions, and realize decision making. We focus on state-of-the-art fundamental and applied research in manufacturing and its quality at the systems level. Furthermore, the following research field are also welcome: Web-based Intelligent manufacturing systems, automatic data capture, enterprise modeling, product and process quality, quality function deployment, quality by design, six sigma, business intelligence, system security, IT tools integration for manufacturing.
Authors are invited to submit original unpublished results which are not under review in any other conference or journal, to the peer review for publication and presentation, in the following, but not limited to, the following topic areas of this symposium:
Big data analysis in manufacturing system and quality engineering
Safety analysis in industry system
Operating state prediction and management for complex system
manufacturing Information quality management and control
Data analysis in manufacturing system reliability
Thermal reliability analysis
Measurement data extraction and analysis
Defect identification in non-destructive testing
Three-dimensional data visualization