Energy Optimization of Robotic Cells
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00303374" target="_blank" >RIV/68407700:21230/17:00303374 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21730/17:00303374
Result on the web
<a href="http://dx.doi.org/10.1109/TII.2016.2626472" target="_blank" >http://dx.doi.org/10.1109/TII.2016.2626472</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TII.2016.2626472" target="_blank" >10.1109/TII.2016.2626472</a>
Alternative languages
Result language
angličtina
Original language name
Energy Optimization of Robotic Cells
Original language description
This study focuses on the energy optimization of industrial robotic cells, which is essential for sustainable production in the long term. A holistic approach that considers a robotic cell as a whole toward minimizing energy consumption is proposed. The mathematical model, which takes into account various robot speeds, positions, power-saving modes, and alternative orders of operations, can be transformed into a mixed-integer linear programming formulation that is, however, suitable only for small instances. To optimize complex robotic cells, a hybrid heuristic accelerated by using multi-core processors and the Gurobi simplex method for piecewise linear convex functions is implemented. The experimental results showed that the heuristic solved 93% of instances with a solution quality close to a proven lower bound. Moreover, compared with the existing works, which typically address problems with 3 to 4 robots, this study solved real-size problem instances with up to 12 robots and considered more optimization aspects. The proposed algorithms were also applied on an existing robotic cell in ˇSkoda Auto. The outcomes, based on simulations and measurements, indicate that, compared with the previous state (at maximal robot speeds and without deeper power-saving modes), the energy consumption can be reduced by about 20% merely by optimizing the robot speeds and applying power-saving modes. All the software and generated data sets used in this research are publicly available.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA16-23509S" target="_blank" >GA16-23509S: Flexible Scheduling and Optimization Algorithms for Distributed Real-time Embedded Systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
ISSN
1551-3203
e-ISSN
1941-0050
Volume of the periodical
13
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
11
Pages from-to
92-102
UT code for WoS article
000395874400010
EID of the result in the Scopus database
2-s2.0-85013428317