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3056. Optimizing energy consumption of robotic arm movements based on an enhanced Digital Twin approach
Invited abstract in session WC-8: Digitization in Knolwedge, Technology, and Innovation, stream Knowledge, Technology, and Innovation.
Wednesday, 12:30-14:00Room: 1020 (building: 202)
Authors (first author is the speaker)
| 1. | Pavlos Eirinakis
|
| Industrial Management and Technology, University of Piraeus | |
| 2. | Dimitrios Tsakoumis
|
| Industrial Management and Technology, University of Piraeus | |
| 3. | Gregory Koronakos
|
| Department of Informatics, University of Piraeus |
Abstract
Robotic arms are extensively used in production environments to undertake different tasks such as welding, hemming, etc. Minimizing energy consumption and the corresponding carbon emissions of such robotic systems poses a growing concern for manufacturing. We consider an enhanced Digital Twin approach that facilitates modelling energy consumption and carbon emissions for each specific task the robot performs. Based on this, we present how Data Envelopment Analysis and Pareto optimality can be utilized to evaluate alternative settings of speed and acceleration for point-to-point movements under given trajectories with respect to energy consumption and the time required to perform each task. Then, we utilize Integer Programming to optimize its operation for the whole production cycle accordingly, and discuss how this approach can be applied to operational environments with multiple robots that need to coordinate.
Keywords
- Industrial Optimization
- Programming, Integer
- Manufacturing
Status: accepted
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