Yubao Chen
The University of Michigan-Dearborn, USA
Title: Intelligent manufacturing: A comparative study cross regional borders
Biography
Biography: Yubao Chen
Abstract
With the ever increasing market competition and technology advances, more and more countries or regions are placing advanced manufacturing technology on their top priorities for economic growth and social development. In Europe, for instance, Germany has announced the Industry 4.0 strategy in 2013. In the US, President Obama launched the Advanced Manufacturing Partnership (AMP) in 2011. Since then, many other initiatives have been launched, including the Advanced Manufacturing Partnership Steering Committee 2.0 (AMP 2.0) in 2013, the Nationwide Network for Manufacturing Innovation (NNMI) in 2014, and the Revitalize American Manufacturing Act signed into law by the President in December 2014. Most recently, the Chinese government published the 10-year plan and roadmap towards manufacturing the Manufacturing 2025 strategy. The largest international collaborative program Intelligent Manufacturing Systems (IMS) led by Japan is also rolling out a road map for next step with its IMS2020 vision. With all these initiatives and programs, the core technology development and implementation area is in intelligent manufacturing. To this end, key technological enablers are identified, such as Internet of Things (IoT), Cyber-physical Systems (CPS), Information and Communication Technology (ICT), etc. There is a clear trend that all regions and countries have adopted these advanced enablers, and integrate them with traditional manufacturing systems so as to create smart products and smart factories. However, the approaches and strategies in different regions vary due to variations in industrial status and market conditions. This paper will provide a comparative study on the strategies and approaches from three representative regions on intelligent manufacturing technology: Germany, US, and China. Challenges and research focus at these regions will also be addressed.