Introduction of the Field

The Field of Industrial Engineering and Management

The field of Industrial Engineering and Management incorporates teaching and research of increasingly sophisticated methodologies in design, operation and management, and analysis, evaluation and improvement of a variety of service business management systems, including for manufacturing and logistics, based on basic engineering methodologies, fundamental theories in, and knowledge of industrial engineering and management, business management system design principles and methodologies, and accomplishments in information technology for corporate management.

The aim is to produce engineers capable of solving management problems using industrial engineering approaches. The doctoral program in industrial engineering and management is designed to nurture researchers, educators, and advanced technical specialists who, with fundamental skills and profound scholarly learning sufficient to undertake independent research, are capable of solving complex management problems based on leading-edge industrial engineering and information system technologies, and of academically systemizing their experience.

Divisions in the field
Management and Administrative Systems Engineering Division

~Management science framework for building management systems~

To produce professionals capable of finding solutions to management problems through modelling and optimization of problems using management science methods.
“Main research fields”
The fields of management science, operations research, and social infrastructure systems

Manufacturing Systems Engineering Division

~Systems for streamlining operations~

To produce professionals capable of analyzing problems occurring at the forefront of manufacturing, service, and other industries, using the scientific method, and of designing people-centered systems for their solution.
“Main research fields”
Fields that encompass analysis, planning, management, and operations associated with production-centered industries, through to the design of work automation systems