Dong Laboratory

Introduction

The basic concept of dong laboratory is integrating of liberal arts and sciences. Through two main courses: data science for management and management information system, and several seminars, the students can not only learn the basic methodology of data analysis, and the technology of developing management information systems, but also master the necessary knowledge of management. Our aim is to educate technical talents with enterprise management ability, the enterprise management talents with science and engineering skill.

Professor Dong received his bachelor degree and master degree in the field of industrial automation, and also he received his doctor degree in the field of electrical engineering and information science. He has engaged a wide variety of researches, mainly applying mathematical methods, information technologies and artificial intelligence theories to solve business management issues. His current research interests include cell production systems, data mining and management information systems.

We have cooperated with many small and medium-sized enterprises to develop enterprise management information systems, production management systems with application of artificial intelligence technologies.

Research Fields and Topics

Key fields: Information Systems Engineering, Production Management, Data Science, Application of Artificial Intelligence.

We have dealt with the following topics:

1. Scheduling problems with parallel machines
2. Vehicle routing problems
3. Fuzzy scheduling
4. Fuzzy programing with recourse cost
5. Developing Methodology of Information Systems in Medium and Small-Sized Enterprises
6. Customer credit evaluation system via case-based reasoning approach
7. Experimental study of human factors’ impact in cell production systems
8. Measurement of workers’ aptitude toward assembly tasks in production cells

Current research theme includes:

1. Experimental study of the effects of social comparison on workers’ performance in cell production system
2. Data comparability issues in data mining and big data analysis

Publications

• Books and Papers
• International Conference Papers

Academic Activities

• Executive Editor， The Journal, Innovation and Supply Chain Management
• Editorial Board， Asian Journal of Management Science and Applications
• Editorial Board (Management and Social Sciences)， INFORMATION-An International Interdisciplinary Journal

Courses in Charge

• Data Science for Management
  This is a basic lesson of Data Science from the view point of management, including basics of statistics and probability, basic methods for data analusis such as regression analysis, factor analysis. The Students will learn how to think data-analytically, and how data science methods can support business decision-making.
• Management Information System
  This lecture aims at understanding the overview of management information systems. The students can learn the basic knowledge / technology about management systems and information systems. They can also experience how to develop a management information system through practice hours.
• Industrial Management
  This is a basic lesson of Industrial Management, including basic methods of IE, quality control, production management and etc.