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Availability Analysis of Reconfigurable Manufacturing System Using Simulation-Based Multi-Objective Optimization
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (Production and Automation Engineering)ORCID iD: 0000-0003-3541-9330
University of Skövde, School of Engineering Science.
University of Skövde, School of Engineering Science.
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (Production and Automation Engineering)ORCID iD: 0000-0001-6280-1848
2022 (English)In: SPS2022: Proceedings of the 10th Swedish Production Symposium / [ed] Amos H. C. Ng; Anna Syberfeldt; Dan Högberg; Magnus Holm, Amsterdam; Berlin; Washington, DC: IOS Press, 2022, p. 369-379Conference paper, Published paper (Refereed)
Abstract [en]

Nowadays, manufacturing companies face an increasing number of challenges that can cause unpredictable market changes. These challenges are derived from a fiercely competitive market. These challenges create unforeseen variations and uncertainties, including new regional requirements or regulations, new technologies and materials, new market segments, increasing demand for new product features, etc. To cope with the challenges above, companies must reinvent themselves and design manufacturing systems that seek to produce quality products while responding to the changes faced. These capabilities are encompassed in Reconfigurable Manufacturing Systems (RMS), capable of dealing with uncertainties quickly and economically. The availability of RMS is a crucial factor in establishing the production capacity of a system that considers all events that could interrupt the planned production. The impact of the availability in RMS is influenced by the configuration of the systems, including the number of resources used. This paper presents a case study in which a simulation-based multi-objective optimization (SMO) method is used to find machines’ optimal task allocation and assignment to workstations under different scenarios of availability. It has been shown that considering the availability of the machines affects the optimal configuration, including the number of resources needed, such as machines and buffers. This study demonstrates the importance of the availability consideration during the design of RMS.

Place, publisher, year, edition, pages
Amsterdam; Berlin; Washington, DC: IOS Press, 2022. p. 369-379
Series
Advances in Transdisciplinary Engineering, ISSN 2352-751X, E-ISSN 2352-7528 ; 21
Keywords [en]
Reconfigurable Manufacturing System, Simulation, Multi-Objective Optimization, Availability
National Category
Production Engineering, Human Work Science and Ergonomics Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Production and Automation Engineering; VF-KDO
Identifiers
URN: urn:nbn:se:his:diva-21098DOI: 10.3233/ATDE220156ISI: 001191233200031Scopus ID: 2-s2.0-85132823793ISBN: 978-1-64368-268-6 (print)ISBN: 978-1-64368-269-3 (electronic)OAI: oai:DiVA.org:his-21098DiVA, id: diva2:1655320
Conference
10th Swedish Production Symposium (SPS2022), Skövde, April 26–29 2022
Part of project
Virtual factories with knowledge-driven optimization (VF-KDO), Knowledge Foundation
Note

CC BY-NC 4.0

Corresponding Author: carlos.alberto.barrera.diaz@his.se

Available from: 2022-05-02 Created: 2022-05-02 Last updated: 2024-05-16Bibliographically approved

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Barrera Diaz, Carlos AlbertoNourmohammadi, Amir

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CiteExportLink to record
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