Developing manufacturing ontologies for knowledge reuse in distributed manufacturing environment

Lin, Lanfen; Zhang, W.Y.; Lou, Yichao; Chu, Changyong; Cai, Meifeng

doi:10.1080/00207540903349021

Cited by 67 publications

(39 citation statements)

References 13 publications

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“…Many authors have addressed this issue in the past and even more in recent years. However, higher capability to handle these problems has become available thanks to the development of information technology tools and especially with Object Orientation (OO) concepts and related technologies (see [9][10][11][12][13]). To this concern, starting from the '90s, ontologies have been proposed for describing manufacturing systems (see [14][15][16][17][18].…”

Section: The Role Of Ontologiesmentioning

confidence: 99%

Role of Ontologies for CPS Implementation in Manufacturing

Garetti¹,

Fumagalli²,

Negri³

2015

Management and Production Engineering Review

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Accepted: 9 January 2015Cyber Physical Systems are an evolution of embedded systems featuring a tight combination of collaborating computational elements that control physical entities. CPSs promise a great potential of innovation in many areas including manufacturing and production. This is because we obtain a very powerful, flexible, modular infrastructure allowing easy (re) configurability and fast ramp-up of manufacturing applications by building a manufacturing system with modular mechatronic components (for machining, transportation and storage) and embedded intelligence, by integrating them into a system, through a network connection. However, when building such kind of architectures, the way to supply the needed domain knowledge to real manufacturing applications arises as a problem to solve. In fact, a CPS based architecture for manufacturing is made of smart but independent manufacturing components without any knowledge of the role they have to play together in the real world of manufacturing applications. Ontologies can supply such kind of knowledge, playing a very important role in CPS for manufacturing. The paper deals with this intriguing theme, also presenting an implementation of this approach in a research project for the open automation of manufacturing systems, in which the power of CPS is complemented by the support of an ontology of the manufacturing domain.

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Section: The Role Of Ontologiesmentioning

confidence: 99%

Role of Ontologies for CPS Implementation in Manufacturing

Garetti¹,

Fumagalli²,

Negri³

2015

Management and Production Engineering Review

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show abstract

“…researchers and industry experts) has developed increased interest in the creation and maintenance of engineering ontologies to support the management of knowledge within engineering activities (Kitamura and Mizoguchi 2007;Dadzie et al 2008;Hawker 2010;Lin et al 2010). An ontology, as defined in literature (Kitamura and Mizoguchi 2007;Chungoora and Young 2010), is a formal specification of a shared conceptualisation of a domain of interest to a group of users.…”

Section: Introductionmentioning

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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“…Currently, in the domain of design and manufacturing engineering, there is a great deal of interest in knowledge management and the integration of people and systems, and ontologies are being used to develop these areas (Lin et al 2011). …”

Section: State Of the Artmentioning

confidence: 99%

“…In recent years, to facilitate collaboration and integration in distributed environments companies have been increasingly using ontologies that allow the integration of knowledge and semantic interoperability (Poli, Healy, and Kameas 2010;Lin et al 2011). Along these lines, both the more general proposals for explicit foundational ontologies and those defined for the different domains of product development can be found (Cheung et al 2006;Baxter et al 2007).…”

mentioning

confidence: 99%

Knowledge representation for product and processes development planning in collaborative environments

Solano

Rosado

Romero

2013

International Journal of Computer Integrated Manufacturing

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Efficiency in the management of integrated product and processes development is a basic requisite to guarantee competitiveness and success for manufacturing companies. This means that operational management of activities, and human and material resources is extremely important, especially in virtual OKP (One-of-aKind Production) systems, and must cover related aspects of their capabilities and social character as well as assignment criteria. In this context, and to facilitate collaborative resources management, an ontology focused on resources and capabilities is proposed in this work. This ontology supports the necessary knowledge for generic and collaborative process planning, providing a shared common semantic for all the members of the virtual company. This work differs from other proposed ontologies in the area of process planning in that the resources considered are all those elements that participate in the execution of the different activity types involved in this wide and complex process. The ontology directly covers the shared, social nature of the resources, the agentive behavior of many of them and a characterization of their capabilities, thus providing specific solutions to the needs of the Collaborative Integrated Development of Products, Processes and Resources (CIDP 2 R) process.

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Developing manufacturing ontologies for knowledge reuse in distributed manufacturing environment

Cited by 67 publications

References 13 publications

Role of Ontologies for CPS Implementation in Manufacturing

Role of Ontologies for CPS Implementation in Manufacturing

A framework for developing engineering design ontologies within the aerospace industry

Knowledge representation for product and processes development planning in collaborative environments

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