Design of Fundamental Ontology for Manufacturing Product Lifecycle Applications

Kiritsis, Dimitris; Kadiri, Soumaya El; Perdikakis, Apostolos; Milicic, Ana; Αλεξάνδρου, Δ.; Pardalis, Konstantinos V.

doi:10.1007/978-3-642-40352-1_47

Cited by 8 publications

(1 citation statement)

References 11 publications

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“…Though engineering ontologies has been developed as proposed in the literature, its application has been limited. It has been identified that majority of the developed ontologies in industry have been applied to broad businesses and do not possess the same level of granularity and detail often required for mechanical design (Kim, Manley, and Yang 2006;Sanya, Shehab, and Roy 2010;Kirisis et al 2013). The scope of this research is to develop an ontology-based framework that is tailored to engineering design activities and encourages modularity in ontology design.…”

Section: Related Work and Research Scopementioning

confidence: 99%

A framework for developing engineering design ontologies within the aerospace industry

Sanya

Shehab

2014

International Journal of Production Research

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This paper presents a framework for developing engineering design ontologies within the aerospace industry. The aim of this approach is to strengthen the modularity and reuse of engineering design ontologies to support knowledge management initiatives within the aerospace industry. Successful development and effective utilisation of engineering ontologies strongly depends on the method/framework used to develop them. Ensuring modularity in ontology design is essential for engineering design activities due to the complexity of knowledge that is required to be brought together to support the product design decision-making process. The proposed approach adopts best practices from previous ontology development methods, but focuses on encouraging modular architectural ontology design. The framework is comprised of three phases namely: (1) Ontology design and development; (2) Ontology validation and (3) Implementation of ontology structure. A qualitative research methodology is employed which is composed of four phases. The first phase defines the capture of knowledge required for the framework development, followed by the ontology framework development, iterative refinement of engineering ontologies and ontology validation through case studies and experts' opinion. The ontology-based framework is applied in the combustor and casing aerospace engineering domain. The modular ontologies developed as a result of applying the framework and are used in a case study to restructure and improve the accessibility of information on a product design information-sharing platform. Additionally, domain experts within the aerospace industry validated the strengths, benefits and limitations of the framework. Due to the modular nature of the developed ontologies, they were also employed to support other project initiatives within the case study company such as rolebased computing (RBC), IT modernisation activity and knowledge management implementation across the sponsoring organisation. The major benefit of this approach is in the reduction of man-hours required for maintaining engineering design ontologies. Furthermore, this approach strengthens reuse of ontology knowledge and encourages modularity in the design and development of engineering ontologies.

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Section: Related Work and Research Scopementioning

confidence: 99%

A framework for developing engineering design ontologies within the aerospace industry

Sanya

Shehab

2014

International Journal of Production Research

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Using Ontology and Semantic Web Tools to Improve New Product Development Process. Towards State of Arts

Zahri

Sekkat

El-Hassani

et al. 2022

Lecture Notes on Data Engineering and Communications Technologies

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Coupling predictive scheduling and reactive control in manufacturing hybrid control architectures: state of the art and future challenges

et al. 2015

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International audienceNowadays, industrials are seeking for models and methods that are not only able to provide efficient overall production performance, but also for reactive systems facing a growing set of unpredicted events. One important research activity in that field focuses on holonic/multi-agent control systems that couple predictive/proactive and reactive mechanisms into agents/holons. Meanwhile, not enough attention is paid to the optimization of this coupling. The aim of this paper is to depict the main research challenges that are to be addressed before expecting a large industrial dissemination. Relying on an extensive review of the state of the art, three main challenges are highlighted: the estimation of the future performances of the system in reactive mode, the design of efficient switching strategies between predictive and reactive modes and the design of efficient synchronization mechanisms to switch back to predictive mode. indicator of the production system, discrete-event observer, flexible manufacturing system

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Design of Fundamental Ontology for Manufacturing Product Lifecycle Applications

Cited by 8 publications

References 11 publications

A framework for developing engineering design ontologies within the aerospace industry

A framework for developing engineering design ontologies within the aerospace industry

Using Ontology and Semantic Web Tools to Improve New Product Development Process. Towards State of Arts

Coupling predictive scheduling and reactive control in manufacturing hybrid control architectures: state of the art and future challenges

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