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Erschienen in:
Hard Planning and Scheduling Problems in the Digital Factory Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

Optimisation of Power Consumption for Robotic Lines in Automotive Industry

verfasst von : Pavel Burget, Libor Bukata, Přemysl Šůcha, Martin Ron, Zdeněk Hanzálek

Erschienen in: Math for the Digital Factory

Verlag: Springer International Publishing

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Abstract

A novel mathematical formulation of the energy optimisation problem for robotic lines is presented, which allows minimising the energy consumption in a robotic cell while keeping the required production cycle time. Different energy saving modes of the robots are utilised as well as the fact that the robot energy consumption during its movement depends on the movement duration. This dependency is modelled with a so-called energy function, which can be obtained by measurements, physical modelling of the robots or simulation. Each of these areas is covered by the presented work. The achieved results show there is a good potential to achieve energy savings at existing robotic cells and their series, and an even bigger potential if the presented approach is used during the design phase of new robotic cells.

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Vorheriges Kapitel Physics-Based Simulation for Energy Consumption Optimization of Automated Assembly Systems in the Automotive Industry
Nächstes Kapitel Production Line Optimization with Model Based Methods
Fußnoten
1
The more energy-saving mode is the longer time is required to have the robot back in a ready-to-operate mode.
 
2
Each activity can be performed by only one assigned robot.
 
3
The dynamic activity has exactly one successor and one predecessor.
 
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Metadaten
Titel
Optimisation of Power Consumption for Robotic Lines in Automotive Industry
verfasst von
Pavel Burget
Libor Bukata
Přemysl Šůcha
Martin Ron
Zdeněk Hanzálek
Copyright-Jahr
2017
Buch
Math for the Digital Factory

Print ISBN: 978-3-319-63955-0

Electronic ISBN: 978-3-319-63957-4

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-63957-4_7

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