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How to minimize cycle times of robot manufacturing systems

Hofmann, Tobias and Wenzel, David (2020) How to minimize cycle times of robot manufacturing systems. Optimization and Engineering. Springer. doi: 10.1007/s11081-020-09531-w. ISSN 1389-4420.

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Official URL: https://link.springer.com/article/10.1007/s11081-020-09531-w

Abstract

The employment of industrial robot systems especially in the automotive industry noticeably changed the view of production plants and led to a tremendous increase in productivity. Nonetheless, rising technological complexity, the parallelization of production processes, as well as the crucial need for respecting specific safety issues pose new challenges for man and machine. Our goal is to develop algorithms, guidelines, and tools that make the commissioning of industrial robot systems more reliable by verifying the programs of robots and logical controllers. This in particu-lar includes optimizing the schedule of the robot systems in order to ensure desired period times as well as conflict-free timetables already in the planning stage. The applicability of the Periodic Event Scheduling Problem proposed by Serafini and Ukovich (SIAM J Discrete Math 2(4):550-581, 1989) is investigated to tackle this cycle time minimization task, and we establish a variant of the classical formulation in order to cover the special characteristics of our scenario. We want to demonstrate how this key element forms a part of a range of developed software tools that sup-port engineers and programmers throughout the commissioning of real-world robot production systems.

Item URL in elib:https://elib.dlr.de/139268/
Document Type:Article
Additional Information:online bereits veröffentlicht, Druckversion wird Journal noch publizieren
Title:How to minimize cycle times of robot manufacturing systems
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Hofmann, TobiasTU ChemnitzUNSPECIFIEDUNSPECIFIED
Wenzel, DavidUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:18 July 2020
Journal or Publication Title:Optimization and Engineering
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI:10.1007/s11081-020-09531-w
Publisher:Springer
ISSN:1389-4420
Status:Published
Keywords:Periodic event scheduling, Mixed-integer programming, Robot systems
HGF - Research field:other
HGF - Program:other
HGF - Program Themes:other
DLR - Research area:no assignment
DLR - Program:no assignment
DLR - Research theme (Project):no assignment
Location: Neustrelitz
Institutes and Institutions:Institute for Solar-Terrestrial Physics > Space Weather Impact
Deposited By: Wenzel, David
Deposited On:08 Dec 2020 11:22
Last Modified:08 Dec 2020 11:22

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