dc.contributor.author | Avhad, Akshay | |
dc.contributor.author | Arnarson, Halldor | |
dc.contributor.author | Schou, Casper | |
dc.contributor.author | Madsen, Ole | |
dc.date.accessioned | 2025-03-27T09:09:10Z | |
dc.date.available | 2025-03-27T09:09:10Z | |
dc.date.issued | 2024-03-20 | |
dc.description.abstract | Swarm Production is a novel paradigm promoting a high degree of flexibility in material flow and reconfigurability in shop floor
layout, enabling high-mix production in manufacturing through the induction of autonomous robots. The conceptual description
promises a leap within smart manufacturing and the Industry 4.0 domain. Implementing this theoretical concept becomes crucial
to the self-organising production domain and gradually learning the relevant technological stack, optimisation methods, objective
functions, and shop floor constraints needed for Swarm Production. This research paper addresses the challenges of the simulation
of autonomous mobile robots in the production environment and concludes with an exemplified case simulation. A simulation
testbed visually demonstrates the concept with planning, scheduling and control systems, providing their feasibility and reliability. | en_US |
dc.identifier.citation | Avhad, Arnarson H, Schou, Madsen O. Implementing Swarm Production System with Multi-Robot Simulation. Procedia Computer Science. 2024;232:934-945 | en_US |
dc.identifier.cristinID | FRIDAID 2368923 | |
dc.identifier.doi | https://doi.org/10.1016/j.procs.2024.01.093 | |
dc.identifier.issn | 1877-0509 | |
dc.identifier.uri | https://hdl.handle.net/10037/36791 | |
dc.language.iso | eng | en_US |
dc.publisher | Elsevier | en_US |
dc.relation.journal | Procedia Computer Science | |
dc.rights.accessRights | openAccess | en_US |
dc.rights.holder | Copyright 2024 The Author(s) | en_US |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0 | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) | en_US |
dc.title | Implementing Swarm Production System with Multi-Robot Simulation | en_US |
dc.type.version | publishedVersion | en_US |
dc.type | Journal article | en_US |
dc.type | Tidsskriftartikkel | en_US |
dc.type | Peer reviewed | en_US |