Abstract
Management of manufacturing systems involves development of detailed solutions related to decision making and problem solving processes. There are many important decisions to be taken and high complexity problems to solve (NP-hard), related to e.g. processes organization, planning and control of manufacturing systems. Special attention is paid to inexact solutions for which there is no known algorithm that can obtain an exact solution in polynomial time. The aim of this session is to present results of research related to management of production systems. Taking into account the complexity of problems related to production management, soft computing and intelligent methods may deliver the most adequate answers.
Application of soft computing methods and tools to problem solving in:
- Manufacturing Systems Integration
- Optimization of Manufacturing Systems
- Modelling and Design
- Control and Supervision
- Industry 4.0
- Production Planning and Scheduling
- Virtual Organisation
- Data Mining and Data Recognition
- Production System Organization
- Production Management
- Discrete Optimization
- Line Balancing
- Parallel Algorithms
- Artificial Intelligence
Session Chairs
- Damian Krenczyk, Silesian University of Technology (Poland)
- Anna Burduk, Wroclaw University of Science and Technology (Poland)
- Bożena Skołud, Silesian University of Technology (Poland)
- Wojciech Bożejko, Wroclaw University of Science and Technology (Poland)
- Mieczysław Wodecki (Wroclaw University of Science and Technology)(Poland)
- Marek Placzek, Silesian University of Technology (Poland)
Contact
Damian Krenczyk
e-mail: damian.krenczyk@polsl.pl
Silesian University of Technology
Faculty of Mechanical Engineering
Department of Engineering Processes Automation and Integrated Manufacturing Systems
Konarskiego 18A, 44-100 Gliwice
Poland
tel. +48 32 237 12 19
fax. +48 32 237 16 24