Special issue on Automation in Green Manufacturing
A special issue of the IEEE Transactions on Automation Science and Engineering
Introduction
There has been growing interest in green manufacturing worldwide, which has attracted substantial efforts from researchers in both academic and engineering communities. Green manufacturing deserves efficient production of green technology products, and energy efficient and environmentally friendly manufacturing process and system. To achieve this, automation is an essential component. In recent years, significant advancements in technology, the fast growing economy and rapidly changing market have generated numerous opportunities for innovation. At the same time, many new challenges have emerged in order to apply and implement these innovations. Such opportunities and challenges have substantially expanded the scope of automation. The goal of automation is to provide efficient scientific and engineering solutions for green manufacturing. The central theme of this Special Issue is emerging opportunities and future directions in automation for green manufacturing, where information technology based modeling, analysis, control and optimization are the focus areas. The purpose is to show the state-of-the-art research and applications in the general area of automation in green manufacturing, by bringing together researchers and practitioners from both academia and industry, to address the significant advancement, expose the unsolved challenges, present the needs for integration with new technologies, and provide visions for future research and development. This special issue aims to publish original, significant and visionary automation papers describing scientific methods and technologies with both solid theoretical development and practical importance. Submissions of scientific results from experts in academia and industry worldwide are strongly encouraged.
Scope, description and more information
Topics to be covered include, but are not limited to the following topics in green manufacturing:
- Design of equipment/robotics/processes for green tech products (solar panels, batteries, motors, wind turbines, fuel cell, etc.) manufacturing
- Automatic control in green tech products manufacturing
- Logistics, service and supply chain management of green tech products
- Factory modeling, analysis & evaluation in green tech products manufacturing
- Algorithms for planning, scheduling and coordination for green tech products manufacturing
- Process control and yield enhancement for green tech products manufacturing
- Mobile and wireless applications in green tech products manufacturing
- Inventory management for green tech products manufacturing
- Quality monitoring and control for green tech products manufacturing
- Efficient energy saving and management systems in manufacturing
- Emission/VOC reduction in manufacturing
- Real-time control to reduce energy consumption in manufacturing
- Automation and robotics for re-manufacturing
- Inventory control and scheduling for re-manufacturing
- Automation for waste management and recycling in manufacturing
- Lifecycle evaluation automation in manufacturing
- Planning and scheduling to optimize energy usage in manufacturing facilities
- Predictive maintenance and service for green manufacturing
- Manufacturing system design and operation for sustainability
- Integrated modeling of energy and environmental factors with production performance
To submit a paper, go here
| Important dates | |
|---|---|
| Call for papers | March 05, 2011 |
| Deadline for paper submission | August 01, 2011 |
| First review | December 31, 2011 |
| Final review | April 01, 2012 |
| Publication | October 2012 |
Guest editors
Jingshan Li
Guest editor

| General Motors Research & Development Center | |||
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Madison (WI), United States | ||
| +1 608 890 3780 | |||
| +1 608 262 8454 | |||
| jingshan@engr.wisc.edu | |||
Tao Zhang
Guest editor

| Spansion Inc. (Nasdaq: SPSN), Submicron Development Center | |||
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Sunnyvale (CA), United States | ||
| http://ford.ieor.berkeley.edu/tzhang | |||
| mike.tao.zhang@gmail.com | |||









