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Teaching Philosophy

FROM NTUT SITE

 

Founded in 1912, the University has been through various changes for over a century. Starting as an industry institute, it has nurtured many professionals, who have made major contributions to the Country’s economy. The College of Management (COM), founded upon the Department of Industrial Engineering and Management (IEM), was set up in 1999 with five “I” features: Information, Innovation, Intelligence, Integration and Internationalization.

The University’s education lays stress on both theoretical studies and practical training. The College of Management places emphasis on academic research fields like integrated applications of information technology, e-management, innovation, smart management with the global vision. The Department’s developing trend consists of the three academic fields: Manufacturing/Operations and Supply Chain Management, E-industry and Information Application, and Management and Decision Sciences. These fields will gradually become the Department’s features. Moreover, following the trend of the Country’s economic and social development, for a long time, the Department has focused on the management field, which becomes the Department’s feature as well.

The management section in the Department aims to educate students who not only possess fundamental knowledge and skills in Industrial Engineering and Management but also are capable of planning for the industrial management, executing the plans and evaluating the performance of the execution/implementation. Furthermore, the Department also hopes to act hand in glove with the Government, the industry and the academic circles, whereby the vocational theories go hand in hand with practical training. With the educational goal, the Department offers professional training opportunities, services of R&D, and coop programs.

The field of “Manufacturing/Operations and Supply Chain Management” emphasizes on both innovative design and the R&D management process. Several methods such as “Theory of Inventive Problem Solving (TRIZ) ”, “Quality Function Deployment (QFD) ”, “Design for Manufacturability (DFM) ”, and “Product Robust Parameter Design (RPD) ” can be applied to shorten the time for the product to be on the market from its design. Besides, for meeting the needs of various custom-made products, methods like Lean strategy, production planning and control, scheduling and inventory theory, facility planning, and system simulation are used. In order to ensure the high quality of production and the products, the methods such as experimental design, reliability analysis, integration of manufacturing process technology, and Six Sigma are also applied. What’s more, the supply chain ranging from the suppliers, manufacturing, logistics centers and dealers to customers is concerned. Last but not the least, the field fulfills global integration design, process capability, production planning, quality technology, supply chain and logistics management and promotes competitive capability of manufacturing industry and its up-streams and down-streams.

The field of “E-industry and Information Application” emphasizes on promoting students’ capability and skills of information collection, information processing and the application of e-industry. Courses listed below are available to students in the Department to help them with their competitive capability when entering business circles.

Courses:

  • Manufacturing Information and Industrial Intelligence: this course is about applying information to the production management and decision.

  • Integration of E-management and E-industry and Human-Computer Interaction (HCI): this course is about the information needs of e-industry.

  • Human Factors and TRIZ: this course trains students’ thinking ability based on humanity.

  • E-commerce and Internet Marketing: this course is about the general application of e-industry.

  • Knowledge Engineering and Data Mining (Big Data Analytics): this course is about the advanced application of manufacturing information.

The field of “Management and Decision Sciences” focuses on combining the management science with the decision theory, decision process and decision methods. The proper decision system can be set up through applying information technologies—computerized information system, data collection and analysis technology, decision making and analysis, data management system, expert system, and the quantitative method. The field aims to assist managers in making the best practice decision. Besides, students will be able to make efficient decisions and undertake analysis when conducting academic researches or being in the workplace in the future. The courses available in this field focus on both theoretical derivations and practical applications. Through the professional courses, academic researches and practical experiences, the graduate students of the Department will become aggressive professional managers with management knowledge as well as the ability of decision making.   

Currently, the Department has 21 full-time professors and 18 key labs. Research fields include smart production, multi-objective decision making, big data analysis and intelligent computing, cognitive human factors, VR/AR manufacturing simulation of human factor labs, automatic inspection and computer vision, combinatorial optimization models for production scheduling, advanced process and quality control, Internet marketing, supply chain and transportation systems, the application of RFID and Internet of Things (IoT). The Department has aggressively planned to coop with Foxconn Technology Group in the field of Industry 4.0 and in the future, in the fields of IoT, Big Data Analytics, and Intelligent Robot. The Department lays great stress on nurturing research talents with practical skills. Students are encouraged not only to publish research papers but also to work in the domestic or overseas big companies to obtain practical experiences during the summer intern or the practical training of the whole academic semester.