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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bannat, A. Bautze, T. Beetz, M. Blume, J. Diepold, K. Ertelt, C. Geiger, F. Gmeiner, T. Gyger, T. Knoll, A. Lau, C. Lenz, C. Ostgathe, M. Reinhart, G. Roesel, W. Ruehr, T. Schuboe, A. Shea, K. Stork genannt Wersborg, I. Stork, S. Tekouo, W. Wallhoff, F. Wiesbeck, M. Zaeh, M.F. |
| Copyright Year | 2004 |
| Abstract | Today's manufacturing and assembly systems have to be flexible to adapt quickly to an increasing number and variety of products, and changing market volumes. To manage these dynamics, several production concepts (e.g., flexible, reconfigurable, changeable or autonomous manufacturing and assembly systems) were proposed and partly realized in the past years. This paper presents the general principles of autonomy and the proposed concepts, methods and technologies to realize cognitive planning, cognitive control and cognitive operation of production systems. Starting with an introduction on the historical context of different paradigms of production (e.g., evolution of production and planning systems), different approaches for the design, planning, and operation of production systems are lined out and future trends towards fully autonomous components of an production system as well as autonomous parts and products are discussed. In flexible production systems with manual and automatic assembly tasks, human-robot cooperation is an opportunity for an ergonomic and economic manufacturing system especially for low lot sizes. The state-of-the-art and a cognitive approach in this area are outlined. Furthermore, introducing self-optimizing and self-learning control systems is a crucial factor for cognitive systems. This principles are demonstrated by a quality assurance and process control in laser welding that is used to perform improved quality monitoring. Finally, as the integration of human workers into the workflow of a production system is of the highest priority for an efficient production, worker guidance systems for manual assembly with environmentally and situationally dependent triggered paths on state-based graphs are described in this paper. |
| Sponsorship | IEEE Robotics and Automation Society |
| Starting Page | 148 |
| Ending Page | 174 |
| Page Count | 27 |
| File Size | 2082025 |
| File Format | |
| ISSN | 15455955 |
| Volume Number | 8 |
| Issue Number | 1 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cognition Production systems Control systems Production planning Assembly systems Flexible manufacturing systems Manufacturing systems Automatic control Computer aided manufacturing Quality assurance reconfigurable manufacturing systems Adaptive control assembly systems assistance systems autonomous processes cognitive factory computer aided design computer-aided manufacturing computer aided process planning computer integrated manufacturing flexible manufacturing systems human-robot cooperation manufacturing systems multi-agent systems paradigms of production production planning and control quality assurance radio-frequency identification |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Electrical and Electronic Engineering |
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