Efficient management of product lifecycle information through a semantic platform

Abstract

Products generate a large amount of information during their lifecycle. Small and medium enterprises often lack an efficient management of such an amount of information. Several tools of product lifecycle management have been developed in the last years to address this issue, but they are rarely exploited by companies, especially SMEs. The aim of our work is to present a semantic platform to integrate data along the whole product lifecycle to allow semantic search and knowledge reuse. The integration of data is realised with a reference PLM ontology, containing the main concepts and relations to describe a PLM. This ontology has a modular structure, so that it can be easily extended to describe concrete product lifecycles. An example of a real application of the semantic platform in an industrial case is reported.

Changing Information Management in Product-Service System PLM: Customer-Oriented Strategy

“…Step 2 has mostly been achieved by defining the common ontology and forcing the use of globally defined attributes [16,17]. Regarding steps 2 and 3, some tools for the current business organization have been implemented.…”

Towards an ontology to capture human attributes in human-robot collaboration

“…The Suggested Upper Merged Ontology (SUMO) is another commonly reused upper ontology (Niles and Pease, 2001). Manufacturing process (MPRO) ontology is built using aspects of the SUMO ontology as its foundation, focusing on classes and properties specific to manufacturing processes, such as assembly processes (Bruno, 2015). The Core Ontology for Robotics and Automation (CORA) is also designed using SUMO as a foundation and is the IEEE standard for this area (Prestes et al, 2013).…”

A Knowledge-Based System for Collecting and Integrating Production Information

“…Previous works addressed the issue of structuring and formalising product-related knowledge [6][7][8][9], while several international research projects addressed the development of industrial knowledge sharing systems (e.g., amePLM [10], ICP4Life [11], Know4car [12], Manutelligence [13]). The importance of collaboration between design and manufacturing is highlighted in several papers [14,15].…”