Required parameters for modelling heterogeneous geographically dispersed manufacturing systems

Mark Goudswaard*, Chris Snider, Martins Obi, Lorenzo Giunta, Kautsar Ramli, Jennifer Johns, Ben Hicks, James Gopsill

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

COVID-19 and global crises/events are driving governments to rethink their national manufacturing strategies. The drastic change of societal conditions has exposed our reliance on a constrained set of production practices. Furthermore, the future manufacturing landscape indicates - supply chain crises, trade agreements and natural disasters - a high level of volatility which requires a response that is far from being achieved.
While these emergent challenges have called the efficacy of established practices into question, new manufacturing technologies, such as Additive Manufacturing (AM), present the capability to provide a solution. One proposal is agent-based brokering of AM which could be a method for tackling local, regional, national, and international production needs. However, to achieve the reality of brokered AM, it is imperative that the diversity of AM capability is considered. Diversity that existing homogeneous modelling of AM and manufacturing systems rarely consider or capture. This paper conceptualizes the reality of AM systems and elucidates parameters that are necessary for successful modelling and subsequent co-ordination. Having presented the required parameters the paper continues to discuss requisite levels of abstraction, suitable performance metrics and the role of humans in agent-based manufacturing systems.
Original languageEnglish
Pages (from-to)1545-1550
Number of pages6
JournalProcedia CIRP
Volume107
Early online date26 May 2022
DOIs
Publication statusPublished - 26 May 2022

Bibliographical note

Copyright © 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0).

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