The Department of Industrial Engineering and Management, established in 1963, had developed into a significant base of complete talent cultivation in the profession of industrial engineering and management, covering undergraduate, master, and Ph.D. programs. It adheres to the essence of education of the university, i.e., emphasis on both theory and skill practice and the characteristic of the School of Management, namely, centering on the integration of application of information technology and electronic management, innovation, intelligent management, and international outlook. And its three main development directions are manufacturing and supply chain, industrial electronics and information technology application, and management science and decision-making.
The Department currently boasts 20 full-time teachers and 18 key laboratories. Its research fields cover intelligent production, multi-objective decision-making, optimization of engineering data analysis, cognitive human factors engineering, automated testing, scheduling and combination optimization, advanced process quality control, network marketing, supply chain and transportation system, RFID, and the application of Internet of Things (IoT). Recently, it is actively discussing the cooperation of Industry 4.0 of with Hon Hai concerning various collaborative researches in terms of the application of the IoT, big data, and intelligent robot in the future.
The several major research groups of the Department
- Quality control and TRIZ innovation research group
Process technology and quality management aims to enhance production yields, improve product quality, ensure product reliability, reduce production costs, and shorten the production cycle. TRIZ is a creative way of solving problems and most efficient system approach in terms of today's R%&D and innovation. This research field is mainly taken charge by TRIZ Innovative Design Lab, Advanced Process Quality Control Lab, and Engineering Data Analysis and Optimization Lab.
- Human factors and machine vision research group
The range of human factors engineering research has been extended to various human-related activities, including physical, cognitive, social, organizational, and environmental issues. Studies have been done on the detectors equipment with sensing and visual instruments (e.g., auto-focus camera or sensor) which can be applied in automated production line for calibration and positioning of materials. This research field is mainly conducted by Automated Testing Lab, Human Factors Engineering Assessment Lab, and Cognitive Human Factors Lab.
- RFID and production scheduling research group
RFID has been creatively applied in various fields such as production automation, logistics, retail, and customer relationship management, and so on. The research is mainly carried out by Manufacturing Information and Business Intelligence Lab, Logistics and Supply Chain Management Lab, Radio Frequency Identification Applications Lab, Scheduling and Combination Optimization Lab, and Manufacturing Integration Lab. These labs mainly present the establishment result of RFID-related machine and information system, combining relevant teaching and practice.
◆Production management and manufacturing service
Enhance the innovative design and develop the management process, so as to respond to the production environment of mass customization, and consider the distribution channel system of whole supply chain, enhance the overall competitiveness of manufacturing industry and the upstream and downstream industries.
◆Management science and decision making
A comprehensive science combined with decision-making principle, decision process and decision-making approach, combined with quantitative approach to build an appropriate decision making system, aim at optimization and assist administrator in making relevant decisions.
◆Industrial electronization and information application
Implement industrial electronization and information gathering, analysis and application responding to the development of internationalization, globalization and network information technology, the purchasing period and cost can be reduced, and the customer service and satisfaction are enhanced.
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