Human-Robot Collaboration in Decentralized Manufacturing Systems: An Approach for Simulation-based Evaluation of Future Intelligent Production
| Autor: | Konrad Wegener, Lennart Bochmann, Andreas Kunz, Timo Bänziger |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Flexible manufacturing system (FMS)
Planning Human-robot collaboration Optimisation Electric engineering 0209 industrial biotechnology Engineering ddc:621.3 0211 other engineering and technologies 02 engineering and technology Human–robot interaction 020901 industrial engineering & automation Computer-integrated manufacturing Robustness (computer science) Production (economics) Productivity General Environmental Science Flexibility (engineering) 021103 operations research business.industry Manufacturing engineering Process development execution system Systems engineering General Earth and Planetary Sciences Factory (object-oriented programming) business |
| Zdroj: | Procedia CRIP, 62 |
| ISSN: | 2212-8271 |
| DOI: | 10.3929/ethz-a-010683804 |
| Popis: | The development towards decentralized manufacturing systems aims at increased flexibility and robustness by maintaining the level of productivity. In order to meet these requirements, human-robot collaboration is considered as basic framework within future intelligent manufacturing cells. For industrial implementation, the concepts of smart production need to be refined and their benefits have to be quantified. This paper introduces concepts for the design of decentralized manufacturing systems and a detailed simulation-based approach for evaluating the performance of the system. Particularly, the relationships between factory layout planning, production scheduling, and human-robot work distribution are investigated. Procedia CRIP, 62 ISSN:2212-8271 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|