Dynamic vs dedicated automation systems a study in large structure assembly.pdf (3.08 MB)
Dynamic vs dedicated automation systems - a study in large structure assembly
journal contribution
posted on 2020-03-23, 15:00 authored by Spartak Ljasenko, Niels LohseNiels Lohse, Laura JusthamLaura JusthamThe manufacturing industry needs to increase productivity and flexibility to stay competitive. This requires more adaptable and versatile production capabilities. It is expected that dynamic systems, consisting of mobile robots, will be particularly prominent in manufacturing environments where it is difficult to move components and products in a flexible manner. This paper compares the relative advantages of a dynamic, mobile robot-based system with traditional dedicated automation systems. The study uses simulations to evaluate several representative scenarios with different product supply bottlenecks, interference among mobile robots and mixes of products inspired by the aerospace industry. The results show that mobility enables higher resource utilisation and increased flexibility. This highlights the potential operational advantages mobile robot-based systems would offer and gives clear justification to continue the development of dynamic, self-organising production systems based on mobile robots.
Funding
Loughborough University's Library Service
History
School
- Mechanical, Electrical and Manufacturing Engineering
Published in
Production & Manufacturing ResearchVolume
8Issue
1Pages
35 - 58Publisher
Informa UK Limited, trading as Taylor & Francis GroupVersion
- VoR (Version of Record)
Rights holder
© The AuthorsPublisher statement
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.Acceptance date
2020-02-25Publication date
2020-03-20Copyright date
2020ISSN
2169-3277Publisher version
Language
- en
Depositor
Dr Niels Lohse. Deposit date: 20 March 2020Usage metrics
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