Ontology-based matchmaking and scheduling for Manufacturing as a Service

The pressure to develop a resilient value chain is currently a significant challenge due to a wide range of influences and disruptive factors. In achieving resilience, Manufacturing as a Service (MaaS) is a new approach with the potential to increase the responsiveness, flexibility, and scalability of manufacturing industries. The manufacturing services offered must match the specific requirements of the companies requesting them. Based on the analysis of the current state of knowledge, a three-stage ontology-based matchmaking approach is proposed to support human decision-makers in satisfying on-demand needs through the use of shared manufacturing resources offered as services. The capability of the proposed approach to semantically connect MaaS users is demonstrated for a MaaS scheduling service, which coordinates the execution of a set of on-demand manufacturing jobs by shared resources. Despite the constraints associated with the technical and organizational dimensions of industrial sectors, as well as with the complexity of supply chain dynamics, several key levers for expanding the adoption of MaaS are discussed throughout this paper.

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Publication Details

Journal
Procedia CIRP
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procir.2025.02.144
Citations
1
Primary Topic
Scheduling and Optimization Algorithms
Type
article
Field-Weighted Citation Impact
1.24

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Ontology-based matchmaking and scheduling for Manufacturing as a Service

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Ontology-based matchmaking and scheduling for Manufacturing as a Service

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article en
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Abstract

The pressure to develop a resilient value chain is currently a significant challenge due to a wide range of influences and disruptive factors. In achieving resilience, Manufacturing as a Service (MaaS) is a new approach with the potential to increase the responsiveness, flexibility, and scalability of manufacturing industries. The manufacturing services offered must match the specific requirements of the companies requesting them. Based on the analysis of the current state of knowledge, a three-stage ontology-based matchmaking approach is proposed to support human decision-makers in satisfying on-demand needs through the use of shared manufacturing resources offered as services. The capability of the proposed approach to semantically connect MaaS users is demonstrated for a MaaS scheduling service, which coordinates the execution of a set of on-demand manufacturing jobs by shared resources. Despite the constraints associated with the technical and organizational dimensions of industrial sectors, as well as with the complexity of supply chain dynamics, several key levers for expanding the adoption of MaaS are discussed throughout this paper.

Procedia CIRPVol. 134
Universidad de Santiago de Chile (CL), Centre National de la Recherche Scientifique (FR), Fraunhofer Institute for Industrial Engineering (DE), Laboratoire des Sciences du Numérique de Nantes (FR), IMT Atlantique (FR), Nantes Université (FR)
HORIZON EUROPE Digital, Industry and Space
Openalex Percentile: Top 18%
Scheduling and Optimization Algorithms
1.24
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