Coping with Diverse Product Demand Through Agent-Led Type Transitions

Martins Obi, Chris Snider, Lorenzo Giunta, Mark Goudswaard, James Gopsill

Research output: Chapter in Book/Published conference outputChapter

Abstract

Additive Manufacturing (AM) machines are a highly flexible manufacturing capability capable of producing a wide range of products. One feature that enables this is the ability to change materials in a relatively short time. For example, Fused Deposition Modelling (FDM) printers can be quickly and easily reconfigured to print in different materials such as PLA, ABS, and Nylon. Facilities that, therefore, employ Additive Manufacturing (AM) machines have the underlying capability to be flexible and responsive to diverse product demand. However, as jobs require different machine configurations for fabrication, methods need to be developed to assist facilities in deciding whether to and when to transition machines from one type of production to another to maximise overall system performance. In this paper, we explore how agent-based control can provide flexibility and responsiveness in manufacturing facilities. A model of a single fabrication workshop was created using AnyLogic, comprising multiple machines and incoming jobs of varying required machine configuration. The modelling shows responsiveness to spikes in demand when machines are able to request a change in configuration, although the penalties associated with reconfiguration cause poor performance when changes occur frequently. When not willing to change configuration, spikes in demand cause the system to become unstable and unable to meet changes in demand.
Original languageEnglish
Title of host publicationAgents and Multi-Agent Systems: Technologies and Applications 2022
Subtitle of host publicationProceedings of 16th KES International Conference, KES-AMSTA 2022, June 2022
PublisherSpringer
Pages277-286
ISBN (Electronic)9789811933592
ISBN (Print)9789811933585 (hbk)
DOIs
Publication statusE-pub ahead of print - 23 Aug 2022

Publication series

NameSmart Innovation, Systems and Technologies (SIST)
Volume306

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