Extending product lifecycle management for manufacturing knowledge sharing

Abstract

Product lifecycle management provides a framework for information sharing that promotes various types of decision-making 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.

An ontology supported risk assessment approach for the intelligent configuration of supply networks

“…These can be used as reference ontologies to be employed as building blocks to promote interoperability for much more domain specific and contextually dependant ontologies, yet enable communication between them due to the shared 'common' core concepts used to build them. Examples of core ontologies are: the Core Product Model (CPM) from the National Institution of Standards and Technology (NIST) (Foufou et al 2005), the Manufacturing Core Ontology (MCO) (Chungoora and Young 2011a;Chungoora et al 2012Chungoora et al , 2013, the Manufacturing Core Concepts Ontology (MCCO) (Usman et al 2011), the Manufacturing Information Systems (MIS) ontology (Hastilow 2013) and the UFO-S ontology (Nardi et al 2015). Domain ontologies (Guarino 1998a, b) are ontologies that are wholly context dependant and are thus very specialised for their intended representation and purpose, these apply to specific activities.…”

“…The Interoperable Manufacturing Knowledge System (IMKS) project (Chungoora and Young 2011a, b;Chungoora et al 2012Chungoora et al , 2013 set out to formally model and define through-life engineering knowledge for manufacturing knowledge sharing across different domains. The project firstly developed lightweight UML models and then a heavyweight ontology that consisted of a design domain, a manufacturing domain and a set of core concepts which Activity, data, organization, place, process, product, property and resource Sustainability manufacturing ontology to promote interoperability between products and processes these two domain models related to.…”

“…A highly recursive and interactive approach enables questions to be asked through the development work and answered where possible to advance the research and development of the ontology. The development of the reference ontology applied a top down approach for developing the levels of the reference ontology, to which the original starting point was the novel research accomplished within the Interoperable Manufacturing Knowledge Systems (IMKS) (Chungoora et al 2012) research project, the MI ontological model set out by Hastilow (2013) and the SCOR model (Supply Chain Council 2014). The Highfleet ULO (Highfleet 2014), which is based upon Ontoclean (Guarino and Weltey 2004), has been used as the foundation ontology on which the reference ontology has been built.…”

Towards Virtual Confidence - Extended Product Lifecycle Management

“…In the vision of virtual confidence PLM play a natural role as being the platform for managing both experiences based on real world findings and knowledge developed during the engineering process. This integration of information and findings from the Virtual world and the Real world is expressed by the term Extended Product Lifecycle Management as shown in figure 2 [9]. …”

Design resource management for virtual prototyping in product collaborative design

“…Barbosa et al 15 presented a collaborative design environment with design history, CAD data model, and virtual prototyping. Chungoora et al 16 proposed ontology-based knowledge management. Xue et al 17 proposed object-oriented design database 18 representations and introduced an evolutionary design database model to describe design requirements and design results at different design stages.…”