Resource selection ontologies in support of a recipe-based factory design methodology

Agyapong-Kodua, Kwabena; Haraszkób, Csaba; Németh, István

doi:10.1080/00207543.2014.918287

Cited by 5 publications

(3 citation statements)

References 72 publications

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“…The first half of the models presented in table 1 target mainly (semi-)offline applications and consist of formal models and ontologies to create skill structures that can be used as a shared vocabulary or for optimisation and reasoning purposes. Agyapong-Kodua, Haraszkó, and Németh (2014) for example defined a 'recipe-based' approach to design a factory facility based on the semantic skill modelling of resources and matching with product-process requirements. Recently, ontologies using Web Ontology Language (OWL) have also been considered to capture information of machines and their skills.…”

Section: (Semi-)offline Modelling Perspectivementioning

confidence: 99%

A formal skill model to enable reconfigurable assembly systems

Ginste

Cock

Alboom

et al. 2022

International Journal of Production Research

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As assembly systems move into the era of mass customisation, the complexity of design processes, (re)configurations and operations rises. Well-structured data are key in keeping this complexity manageable. Hereto, this paper presents a multidimensional formal skill model designed to deliver generic descriptions of needs and capacities with skills as the connector between products, processes and resources. The model formalises resource structures in relation to the processes they master and products they can produce. This paper discusses the case-based evaluation in a reconfigurable assembly system and highlights the added-value of a skill-based modelling approach. The presented formal model combines concepts coming from both offline and online modelling perspectives and allows for various applications and levels of detail. The resource structures embedded in the prerequisites of a skill enable matchmaking of resources for workspace design and reconfigurations. The mapping of the model to standardised ISA-95 models couples production needs to the resources allowing for more optimal production planning, control and a structured interface between enterprise and control systems. The possibility to couple states to the assembly environment allows for optimal runtime orchestration.

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Section: (Semi-)offline Modelling Perspectivementioning

confidence: 99%

A formal skill model to enable reconfigurable assembly systems

Ginste

Cock

Alboom

et al. 2022

International Journal of Production Research

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“…Compared to major companies, SMEs show a lower degree of product and service diversification (Agyapong-Kodua, Haraszk o, and N emeth 2014;Stevenson 2009). Particularly due to highly specialised expertise, this leads to a significant competitive advantage but simultaneously yields a not negligible business risk on account of strong dependencies on certain suppliers and customers.…”

Section: Rationale Of the Expert Studymentioning

confidence: 99%

Network-based factory planning for small and medium-sized enterprises

Burggräf

Dannapfel

Schneidermann

et al. 2020

Production Planning & Control

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Many industrial sectors are currently being challenged with regard to the flexibility and adaptability of their production and control processes, which can, inter alia, be attributed to macroeconomic trends such as digitisation. These trends not only shorten product lifecycles but also lead to a greater need for redesign and transformation of production systems within factories. Since this field of factory planning tends to play a subordinate role in SMEs anyway, the above-mentioned factors impede an efficient execution of corresponding projects even more. While large companies are more likely to have a factory planning department, SMEs often do not have sufficient resources to meet the aforementioned challenges through independent factory planning projects. Although network-based structures could be a realistic and practical way to meet the challenges of factory planning as they generally provide possibilities for resource and risk sharing, SMEs often manifest resentments towards network collaborations. This paper aims to validate these resentments. For this purpose, a profound expert study explores whether network cooperations could overcome companies' challenges. It derives implications towards a model that enables network cooperations in factory planning.

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“…In order to integrate various domain-specific engineering tools with an interactive platform to reduce product design lifecycle and cost, some integrated manufacturing system framework are used for facilities sharing, data transfer and designers communication. For example the Virtual Factory Framework (VFF), the Sustainable Factory Semantic Framework (SuFSeF) and The Open Group's Architecture Framework (TOGAF) are the most influential architectures for manufacturing systems integration for Product-Process-Resource (PPR) domain [7][8][9].…”

Section: A Current Framework For Integrated Manufacturingmentioning

confidence: 99%

Ontology based semantic-predictive model for reconfigurable automation systems

Zhang

Ahmad

Vera

et al. 2016

2016 IEEE 14th International Conference on Industrial Informatics (INDIN)

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Copies of full items can be used for personal research or study, educational, or not-for-profit purposes without prior permission or charge. Provided that the authors, title and full bibliographic details are credited, a hyperlink and/or URL is given for the original metadata page and the content is not changed in any way. A note on versions:The version presented here is a working paper or pre-print that may be later published elsewhere. If a published version is known of, the above WRAP url will contain details on finding it. Abstract-Due to increasing product variety and complexity, capability to support reconfiguration is a key competitiveness indicator for current automation system within large enterprises. Reconfigurable manufacturing systems could efficiently reuse existing knowledge in order to decrease the required skills and design time to launch new products. However, most of the software tools developed to support design of reconfigurable manufacturing system lack integration of product, process and resource knowledge, and the design data is not transferred from domain-specific engineering tools to a collaborative and intelligent platform to capture and reuse design knowledge. The focus of this research study is to enable integrated automation systems design to support a knowledge reuse approach to predict process and resource changes when product requirements change. The proposed methodology is based on a robust semantic-predictive model supported by ontology representations and predictive algorithms for the integration of Product, Process, Resource and Requirement (PPRR) data, so that future automation system changes can be identified at early design stages.

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Resource selection ontologies in support of a recipe-based factory design methodology

Cited by 5 publications

References 72 publications

A formal skill model to enable reconfigurable assembly systems

A formal skill model to enable reconfigurable assembly systems

Network-based factory planning for small and medium-sized enterprises

Ontology based semantic-predictive model for reconfigurable automation systems

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