Develop an autonomous product-based reconfigurable manufacturing system

With the ever-emerging market including mass customization and product variety, reconfigurable manufacturing systems (RMS) have been presented as the solution. A manufacturing system that combines the benefits of the two classic manufacturing systems to increase responsiveness and reduce production...

Full description

Bibliographic Details
Main Author: Olavsbråten, Morten Monland
Format: Master Thesis
Language:English
Published: UiT Norges arktiske universitet 2022
Subjects:
Online Access:https://hdl.handle.net/10037/25766
id ftunivtroemsoe:oai:munin.uit.no:10037/25766
record_format openpolar
spelling ftunivtroemsoe:oai:munin.uit.no:10037/25766 2023-05-15T17:14:08+02:00 Develop an autonomous product-based reconfigurable manufacturing system Olavsbråten, Morten Monland 2022-05-15 https://hdl.handle.net/10037/25766 eng eng UiT Norges arktiske universitet UiT The Arctic University of Norway https://hdl.handle.net/10037/25766 Copyright 2022 The Author(s) VDP::Teknologi: 500::Industri- og produktdesign: 640 Reconfigurable manufacturing system MiR-100 mobile robot Layout problem INE-3900 Master thesis Mastergradsoppgave 2022 ftunivtroemsoe 2022-07-13T22:58:57Z With the ever-emerging market including mass customization and product variety, reconfigurable manufacturing systems (RMS) have been presented as the solution. A manufacturing system that combines the benefits of the two classic manufacturing systems to increase responsiveness and reduce production time and costs. To cope with the lack of physical systems, an RMS system have been built at UiT Narvik. Today, both reconfiguration and deciding layout must be executed manually by a human. A task that is both incredibly time consuming and far from optimal. A method of automating the layout generation and thus the manufacturing system is presented in this thesis. To the author’s knowledge such experiment has not been performed previously. Layouts is generated with a NSGA-II algorithm in Python by minimizing objectives from a developed mathematical model. The results have been tested with a MiR-100 mobile robot placing five modules in two different layouts. The results have been compared with a digital visualization for validation. In addition to the visualization, videos of the physical system's automated layout generation are presented. The results concludes that the method both generates feasible layouts as well as enhancing the automation of the system. Master Thesis Narvik Narvik University of Tromsø: Munin Open Research Archive Narvik ENVELOPE(17.427,17.427,68.438,68.438)
institution Open Polar
collection University of Tromsø: Munin Open Research Archive
op_collection_id ftunivtroemsoe
language English
topic VDP::Teknologi: 500::Industri- og produktdesign: 640
Reconfigurable manufacturing system
MiR-100 mobile robot
Layout problem
INE-3900
spellingShingle VDP::Teknologi: 500::Industri- og produktdesign: 640
Reconfigurable manufacturing system
MiR-100 mobile robot
Layout problem
INE-3900
Olavsbråten, Morten Monland
Develop an autonomous product-based reconfigurable manufacturing system
topic_facet VDP::Teknologi: 500::Industri- og produktdesign: 640
Reconfigurable manufacturing system
MiR-100 mobile robot
Layout problem
INE-3900
description With the ever-emerging market including mass customization and product variety, reconfigurable manufacturing systems (RMS) have been presented as the solution. A manufacturing system that combines the benefits of the two classic manufacturing systems to increase responsiveness and reduce production time and costs. To cope with the lack of physical systems, an RMS system have been built at UiT Narvik. Today, both reconfiguration and deciding layout must be executed manually by a human. A task that is both incredibly time consuming and far from optimal. A method of automating the layout generation and thus the manufacturing system is presented in this thesis. To the author’s knowledge such experiment has not been performed previously. Layouts is generated with a NSGA-II algorithm in Python by minimizing objectives from a developed mathematical model. The results have been tested with a MiR-100 mobile robot placing five modules in two different layouts. The results have been compared with a digital visualization for validation. In addition to the visualization, videos of the physical system's automated layout generation are presented. The results concludes that the method both generates feasible layouts as well as enhancing the automation of the system.
format Master Thesis
author Olavsbråten, Morten Monland
author_facet Olavsbråten, Morten Monland
author_sort Olavsbråten, Morten Monland
title Develop an autonomous product-based reconfigurable manufacturing system
title_short Develop an autonomous product-based reconfigurable manufacturing system
title_full Develop an autonomous product-based reconfigurable manufacturing system
title_fullStr Develop an autonomous product-based reconfigurable manufacturing system
title_full_unstemmed Develop an autonomous product-based reconfigurable manufacturing system
title_sort develop an autonomous product-based reconfigurable manufacturing system
publisher UiT Norges arktiske universitet
publishDate 2022
url https://hdl.handle.net/10037/25766
long_lat ENVELOPE(17.427,17.427,68.438,68.438)
geographic Narvik
geographic_facet Narvik
genre Narvik
Narvik
genre_facet Narvik
Narvik
op_relation https://hdl.handle.net/10037/25766
op_rights Copyright 2022 The Author(s)
_version_ 1766071417672040448