GRACE ontology inteGrating pRocess and quAlity Control

Leitão, Paulo; Rodrigues, Nélson; Turrin, Claudio; Pagani, Arnaldo; Petrali, Pierluigi

doi:10.1109/iecon.2012.6389189

Cited by 16 publications

(4 citation statements)

References 25 publications

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“…The feasibility of using such a model to develop application ontologies has been verified by previous studies. The aforementioned MPFQ model was used to create the GRACE Ontology (Leitão et al, 2012) aiming to optimize discrete manufacturing processes. In a previous study (Zheng et al, 2020a), the proposed RMPFQ model was adopted to support the development of an application ontology for knowledge management of aircraft assembly system design.…”

Section: Rmpfq For Ontology Developmentmentioning

confidence: 99%

RMPFQ: A Quality-Oriented Knowledge Modelling Method for Manufacturing Systems Towards Cognitive Digital Twins

Zheng

Petrali

et al. 2022

Front. Manuf. Technol.

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Digital Twin is one of the fundamental enabling technologies for Industry 4.0 as it allows the convergence between a physical system and its digital representation. A proper modelling method is the prerequisite for successful digital twin implementation. The manufacturing process determines critically the quality of the manufactured products. The influential elements need to be systematically organized when modelling a manufacturing process. This paper proposes a semantic modelling method named RMPFQ (Resource, Material, Process, Function/Feature, Quality) aiming to interlink the main influential factors related to product quality during manufacturing processes. The proposed RMPFQ model is formalized with an application ontology following the IOF-Core middle-level and BFO top-level ontologies. Based on this ontology, a semantic-driven digital twin architecture is designed and mapped to the recently proposed Cognitive Digital Twin concept. A correlation matrix is designed to quantify the relationships among RMPFQ elements thus to facilitate the industrial applications. A case study based on the assembly process of a washing machine is conducted to demonstrate the implementation procedures of the proposed RMPFQ method.

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Section: Rmpfq For Ontology Developmentmentioning

confidence: 99%

RMPFQ: A Quality-Oriented Knowledge Modelling Method for Manufacturing Systems Towards Cognitive Digital Twins

Zheng

Petrali

et al. 2022

Front. Manuf. Technol.

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“…To reuse other ontology in assembly system, GRACE system use the Java Agent Development Framework (JADE) to extract information and map data with ontology [13]. Although this solution solved information mapping issues, all generation classes and rules are created by hard coding.…”

Section: B Ontology Technologymentioning

confidence: 99%

Automatic Data Representation Analysis for Reconfigurable Systems Integration

Zhang

Ahmad

Vera

et al. 2018

2018 IEEE 16th International Conference on Industrial Informatics (INDIN)

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“…While in Paper [12], authors report on the design of ontology within a multi-agent system integrating process and quality control for washing machine production lines. The designed ontology, a set of individuals combine to constitute a knowledge base.…”

Section: Related Workmentioning

confidence: 99%

An ontology modeling and application for an assembly line of manufacturing system

Xue

Wang

Cheng

et al. 2017

IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society

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The increasing new product variants force the manufacturing enterprise to take a short time in adjusting the automatic assembly line rapidly but it seems a challenging task. Realizing integration of information technology and manufacturing technology is the very essence of new manufacturing schema. This paper introduces an ontology-based modeling and application method to test the feasibility of manufacturing system. This work uses the SPARQL query and update technology to reflect the accurate entities' state and obtain device information. The predefined rules are used to build the corresponding rule repository according to the practical product process and knowledge base. A reasoning engine is utilized to infer facts about the assembling environment from the formalized knowledge model and decide whether the current environment can support the given assembling requirements. The result shows the ontology technology is useful for the assembly line of manufacturing system.

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GRACE ontology inteGrating pRocess and quAlity Control

Cited by 16 publications

References 25 publications

RMPFQ: A Quality-Oriented Knowledge Modelling Method for Manufacturing Systems Towards Cognitive Digital Twins

RMPFQ: A Quality-Oriented Knowledge Modelling Method for Manufacturing Systems Towards Cognitive Digital Twins

Automatic Data Representation Analysis for Reconfigurable Systems Integration

An ontology modeling and application for an assembly line of manufacturing system

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