Abstract
Today's manufacturing systems are typically complex cyber-physical systems where the physical and control aspects interact with the scheduling decisions. Optimizing such facilities requires ordering jobs and configuring the manufacturing system for each job. This optimization problem can be described as a Multi-Objective Generalized TSP where conflicting objectives lead to a trade-off space. This is the first work to address this TSP variant, introducing a compositional heuristic suitable to online application.
| Original language | English |
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| Title of host publication | Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE), 14-18 March 2016, ICC, Dresden, Germany |
| Publisher | Institute of Electrical and Electronics Engineers |
| Pages | 822-825 |
| Number of pages | 4 |
| ISBN (Electronic) | 9783981537062 |
| Publication status | Published - 6 Nov 2015 |
| Event | 19th Design, Automation and Test in Europe Conference and Exhibition (DATE 2016) - ICC, Dresden, Germany Duration: 14 Mar 2016 → 18 Mar 2016 Conference number: 19 https://www.date-conference.com/date16/ |
Conference
| Conference | 19th Design, Automation and Test in Europe Conference and Exhibition (DATE 2016) |
|---|---|
| Abbreviated title | DATE 2016 |
| Country/Territory | Germany |
| City | Dresden |
| Period | 14/03/16 → 18/03/16 |
| Internet address |