Venue: Auditorium, Level 3, SIMTech Tower Block, 71 Nanyang Drive, Singapore 638075
This lecture presents how Fuzzy techniques can be used to model and solve scheduling problems where imprecise information and preferences of users are used. The first part of the talk deals with the predictive scheduling in chemical industry where preferences of human schedulers have to be regarded. The second part presents an approach for a reactive scheduling system in which Fuzzy techniques are used to select between alternatives.
3.00pm: Presentation by Dr Jürgen Sauer
4.00pm: Q & A and Networking
About Dr Sauer
Dr Jürgen Sauer is an Associate Professor of Computer Science in the Business Informatics Group, Department of Computer Science, University of Oldenburg, Germany. He holds a Master of Science in Computer Science from the University of Dortmund and a PhD in Computer Science from the University of Oldenburg. He had been working as a Senior Research Assistant in the Information Systems area in the software engineering lab of the department of computer science. From 2003 to 2006, he was the Head of the Computer Centre of the University of Oldenburg. His research focuses on intelligent systems in logistics especially in the area of scheduling and the management of complex and large application systems (adaptive computing). It covers modelling and solving scheduling problems mainly by using artificial intelligence approaches. His teaching activities are on modelling, systems management, software engineering and intelligent systems, especially knowledge-based scheduling.
Dr Sauer is the speaker of the special interest group in planning, scheduling and configuration within the Artificial Intelligence Section of the German Computer Society and has organised several workshops on planning, scheduling and configuration. He is a member of the special interest group in manufacturing (SIGMAN) of the AAAI (Association for the Advancement of Artificial Intelligence).
Through several projects, scheduling systems have been developed for different application areas, for example for the chemical industry, the fittings industry, and hospitals. Some work has been done in cooperation with the Center for Integrated Manufacturing Decision Systems in the Robotics Institute of the Carnegie Mellon University, USA. His extensive project experiences cover several areas ranging from interoperability (EU-Chinese project STASIS) to planning problems in the local tree-nursery industry and scheduling regarding energy efficiency issues.
Who Should Attend
Senior management staff, R&D personnel, managers, engineers, scientists, analysts from the electronics, precision engineering industry, academic staff and graduate students.
Registration for the seminar is free of charge. Seats are available on a first-come, first-served basis.
Technical enquiries: Mr Chua Tay Jin, Email: tjchua@SIMTech.a-star.edu.sg
General enquiries: Ms Samantha Chan, Email: chanskf@Scei.a-star.edu.sg