conducting research on next-generation production information systems centered on production scheduling systems in the manufacturing industry.

For Companies
　The construction of next-generation production information systems will revolutionize the future of the manufacturing industry.
In this research field, it is necessary to conduct research based on actual process know-how in companies.
We look forward to working with you to solve these problems.

To Students
　* In order to enjoy your research life in the graduate school, let's respect each other's opinions and have positive discussions in the laboratory.
　* Let's develop the ability to solve problems on your own.
　* Let's disseminate our research results outside of the university.

　With the spread of computers, many production information systems are being built. However, production methods and production management methods that generate profits are an eternal challenge for companies and must continue to be pursued. Our research focuses on production scheduling problems in which dynamic decisions are made on what products to produce, when, how much, and how to produce and sell them, adapting to the various circumstances surrounding production. In order to tackle such problems, our laboratory conducts research from the following two major aspects.

Research from the functional aspect
　Focusing on the production scheduling problem, we study the usage of various information surrounding the production process (order information, production control information, prescription information, performance information, progress information, inventory information, shipping information, etc.). In particular, we are conducting research on how the information and things handled by these systems should flow in supply chain systems and production scheduling systems, using real problems as targets. We are working on topics such as the specification of development standards when constructing scheduling systems, and methods of integrating production scheduling functions in supply chain management.

Research from the aspect of systemization
　We are researching the application of basic technologies in systemization for the purpose of constructing production scheduling systems. Using UML as a software development technology, we are working on themes such as the construction of agent-oriented mental models, artificial intelligence, and self-constructing scheduling by applying intelligent interface agent technology.

Development of a self-constructed scheduling method
　In order to eliminate the trouble of constructing a system at the time of initial installation and maintenance, we are developing a function to support scheduling work by self-constructing master information and scheduling methods in the system based on the operation history during the scheduleing process.
　We aim to create a user-friendly system that learns from the user's scheduling operations.

Agent-oriented mental model construction
　We are investigating a method to construct an agent-oriented distributed model by conducting an object-oriented analysis of scheduling tasks from the perspective of a mental model.
Specification of development standards for scheduling systems
　We are defining development standards with a clear sense of purpose for system development that has traditionally depended on the skills of the developer. This will contribute to standardization of work when introducing a scheduling system, improvement of development efficiency, clarification of introduction goals, and clarification of evaluation criteria for introduction effects.

Integration of the production scheduling function in SCM (Supply Chain Management)
　We are conducting research to organize the usage patterns of the production scheduling function for the construction of SCM for the entire company, and to clarify the functions of the scheduling system and its interfaces with other systems.