Enabling Coordinated Elastic Responses of Manufacturing Systems through Semantic Modelling

Martínez-Arellano, Giovanna; Niewiadomski, Karol; Mo, Fan; Elshafei, Basem; Chaplin, Jack C.; McFarlane, Duncan; Ratchev, Svetan

doi:10.1016/j.ifacol.2023.10.617

Cited by 6 publications

(1 citation statement)

References 14 publications

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“…We build a purposeful artefact -The Multi-level ontologyto address a business problemthe need to react to demand volume/mix changes and supply chain disruptions at several levels. Some results of individual design activities have already been documented in earlier publications [14].…”

Section: Methodsmentioning

confidence: 76%

Investigating multi-level ontology to support manufacturing during demand fluctuation

Kazantsev,

Niewiadomski,

Martínez-Arellano

et al. 2023

IET Conf. Proc.

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Responding to demand fluctuations represents a challenge for manufacturers, as they often face resource limitations and cannot assess all potential solutions. This paper presents a low-cost semantic engineering solution (ontology) to coordinate potential responses to disruption at the supply chain, factory and firm levels. The research method uses three cycles of design science research to develop a multi-level ontology and assess its potential to coordinate responses. The feedback from companies positions ontology as a solution for stress-testing next generation manufacturing systems. Using semantic engineering, companies can assess the available responses before disruptions, plan potential responses, and support their decision-making during demand fluctuation.

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Section: Methodsmentioning

confidence: 76%