2134/11487
Nitishal Chungoora
Nitishal
Chungoora
A. George Gunendran
A. George
Gunendran
Robert I.M. Young
Robert I.M.
Young
Zahid Usman
Zahid
Usman
Najam A. Anjum
Najam A.
Anjum
Claire Palmer
Claire
Palmer
Jennifer Harding
Jennifer
Harding
Keith Case
Keith
Case
Anne-Francoise Cutting-Decelle
Anne-Francoise
Cutting-Decelle
Extending product lifecycle management for manufacturing knowledge sharing
Loughborough University
2013
Ontologies
Interoperable systems
Knowledge sharing
Design and manufacture
Product lifecycle management
Mechanical Engineering not elsewhere classified
Mechanical Engineering
2013-01-17 15:13:17
Journal contribution
https://repository.lboro.ac.uk/articles/journal_contribution/Extending_product_lifecycle_management_for_manufacturing_knowledge_sharing/9567176
Product lifecycle management provides a framework for information sharing that promotes various types of decisionmaking
procedures. For product lifecycle management to advance towards knowledge-driven decision support, then this
demands more than simply exchanging information. There is, therefore, a need to formally capture best practice
through-life engineering knowledge that can be fed back across the product lifecycle. This article investigates the interoperable
manufacturing knowledge systems concept. Interoperable manufacturing knowledge systems use an expressive
ontological approach that drives the improved configuration of product lifecycle management systems for manufacturing
knowledge sharing. An ontology of relevant core product lifecycle concepts is identified from which viewpoint-specific
domains, such as design and manufacture, can be formalised. Essential ontology-based mechanisms are accommodated
to support the verification and sharing of manufacturing knowledge across domains. The work has been experimentally
assessed using an aerospace compressor disc design and manufacture example. While it has been demonstrated that the
approach supports the representation of disparate design and manufacture perspectives as well as manufacturing knowledge
feedback in a timely manner, areas for improvement have also been identified for future work.