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An Ontology-based Engineering methodology applied to aerospace Reconfigurable Manufacturing Systems design

Author

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  • Rebeca Arista
  • Fernando Mas
  • Domingo Morales-Palma
  • Carpoforo Vallellano

Abstract

Reconfigurable Manufacturing Systems (RMS) have gained attention in the aerospace industry in the past years, as post-pandemic context shows drastic production capacity changes and new environmental regulations to which it must adapt quicker than before to maintain competitiveness. Nevertheless, current RMS design methods have not thoroughly considered this industry specificities, nor industrial resources requirements in the current concurrent design practice. These limitations have been identified in several recent research works. Ontology-based Engineering (OBE) systems can stand overly complex collaborative design processes involving multidisciplinary stakeholders and various digital tools, integrating different levels of decision. Models for Manufacturing (MfM) is an OBE methodology aiming to enable industrial design and decision-making in manufacturing by preserving the company knowledge in ontology models, usable as knowledge base to generate and integrate the aircraft and manufacturing systems design. This paper presents an MfM application for RMS design in aerospace, introducing innovative design concepts that allow implementing RMS in a collaborative engineering process of an aerospace product. An implementation is shown designing the RMS of a model aircraft family to illustrate the concepts introduced and considerations are given to transfer this knowledge base into an OBE system to support complex real-life applications.

Suggested Citation

  • Rebeca Arista & Fernando Mas & Domingo Morales-Palma & Carpoforo Vallellano, 2024. "An Ontology-based Engineering methodology applied to aerospace Reconfigurable Manufacturing Systems design," International Journal of Production Research, Taylor & Francis Journals, vol. 62(6), pages 2286-2304, March.
  • Handle: RePEc:taf:tprsxx:v:62:y:2024:i:6:p:2286-2304
    DOI: 10.1080/00207543.2023.2217296
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