Robot Task Assignment In Dynamic Factory Environments

Publikation: Beitrag in FachzeitschriftKonferenzartikelBeigetragenBegutachtung

Beitragende

Abstract

Automated Guided Vehicles (AGVs) and Autonomous Mobile Robots (AMRs) are being applied more and more frequently in a wide range of use cases. Following the general trend of decentralisation of control structure in the Industry 4.0 paradigm, this paper analyses the application of auction algorithms to solve the robot task assignment problem. We focus on the use of mobile robots in production environments with a high level of uncertainty which places hight demand on the flexibility of the online scheduling architecture. A sequential single-item (SSI) auction algorithm is validated for a real-world use case where multiple mobile robots supply car bodies to manual rework stations in a paint shop application using simulation. The optimization objective of such an algorithm is discussed in regards to the examined use case.

Details

OriginalspracheEnglisch
Seiten (von - bis)338-344
Seitenumfang7
FachzeitschriftCommunications of the ECMS
Jahrgang38
Ausgabenummer1
PublikationsstatusVeröffentlicht - Juni 2024
Peer-Review-StatusJa

Konferenz

Titel38th ECMS International Conference on Modelling and Simulation
KurztitelECMS 2024
Veranstaltungsnummer38
Dauer4 - 7 Juni 2024
Webseite
BekanntheitsgradInternationale Veranstaltung
OrtCracow University of Technology
StadtKrakau
LandPolen

Externe IDs

Scopus 85195177743

Schlagworte

Schlagwörter

  • mobile Roboter, Auktionstheorie, Simulation