Virtual Factory Manager for semantic data handling

Ghielmini, Giorgio; Pedrazzoli, Paolo; Rovere, Diego; Terkaj, Walter; Boër, Claudio R.; Maso, Giovanni Dal; Milella, Ferdinando; Sacco, Marco

doi:10.1016/j.cirpj.2013.08.001

Cited by 14 publications

(11 citation statements)

References 5 publications

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“…The Virtual Factory Framework (VFF) is a framework that provides a collaborative virtualized environment, which facilitates the sharing of factory resources, manufacturing information and knowledge and supports the factory planning phases, ranging from the requirements definition up to factory dismantling [7,25]. The approach of VFF is based on the four following pillars:…”

Section: Virtual Factory Frameworkmentioning

confidence: 99%

“…Moreover, 40% of the required information is identified through personally stored information [6]. During the design stage, a set of multidisciplinary tools that make challenging knowledge storage and extraction due to existence of various data formats are used [7]. A large number of actors belonging to different departments of a company and sharing different technical background and expertise are involved in the design of a manufacturing system.…”

mentioning

confidence: 99%

See 1 more Smart Citation

On knowledge reuse for manufacturing systems design and planning: A semantic technology approach

Efthymiou

Σίψας

Mourtzis

et al. 2015

CIRP Journal of Manufacturing Science and Technology

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Section: Virtual Factory Frameworkmentioning

confidence: 99%

mentioning

confidence: 99%

On knowledge reuse for manufacturing systems design and planning: A semantic technology approach

Efthymiou

Σίψας

Mourtzis

et al. 2015

CIRP Journal of Manufacturing Science and Technology

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“…3); ii) configuring the binary symmetric adjacency matrix [12] C(G) with [C(G)] a,b = c a,b , null elements along the main diagonal and Pr[c a,b = 1] = P S . Probability P S = P S (C j ) depends on class C j and it is given by model (9).…”

Section: Graph Theoretic Design Of Cloud-based Sensor Networkmentioning

confidence: 99%

“…Industry-standard design procedures for wireless cloud network optimization must be therefore able to certify the reliability and safety of radio links under harsh conditions. Moreover, these procedures must be supported by various industrial planning tools [9] (CAD, CAE, CAM) in order to achieve a seamless planning, design and operation environment, regardless of the wireless/wired communication technology employed. Developing consistent design methodologies for (possibly heterogeneous) industrial wireless networks is also becoming mandatory as supporting tool for the technology suppliers/vendors during every phase of system set-up, precommissioning, integration, and post-layout testing.…”

Section: Introductionmentioning

confidence: 99%

Wireless Cloud Networks for the Factory of Things: Connectivity Modeling and Layout Design

Savazzi

Rampa

Spagnolini

2014

IEEE Internet Things J.

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Large-scale adoption of dense cloud-based wireless network technologies in industrial plants is mandatorily paired with the development of methods and tools for connectivity prediction and deployment validation. Layout design procedures must be able to certify the quality (or reliability) of network information flow in industrial scenarios characterized by harsh propagation environments. In addition, these must account for possibly coexisting heterogeneous radio access technologies as part of the internet of things (IoT) paradigm, easily allow postlayout validation steps, and be integrated by industry standard CAD-based planning systems. The goal of the paper is to set the fundamentals for comprehensive industry-standard methods and procedures supporting plant designer during wireless coverage prediction, virtual network deployment and post-layout verification. The proposed methods carry out the prediction of radio signal coverage considering typical industrial environments characterized by highly dense building blockage. They also provide a design framework to properly deploy the wireless infrastructure in interference-limited radio access scenarios. In addition, the model can be effectively used to certify the quality of machine type communication by considering also imperfect descriptions of the network layout. The design procedures are corroborated by experimental measurements in an oil refinery site (modelled by 3D CAD) using industry standard ISA IEC 62734 devices operating at 2.4GHz. A graph-theoretic approach to node deployment is discussed by focusing on practical case studies, and also by looking at fundamental connectivity properties for random deployments.

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“…the software application that manages and provides access to the shared repository containing data structured according to the VFDM. A prototype implementation of VFM as web-service is presented in [18].…”

Section: The Virtual Factory Frameworkmentioning

confidence: 99%

Semantic Virtual Factory supporting interoperable modelling and evaluation of production systems

2013

Self Cite

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Modelling, simulation and evaluation of manufacturing systems are relevant activities that may strongly impact on the competitiveness of production enterprises both during the design and the operational phases. This paper addresses the application of a semantic data model for virtual factories to support the design and the performance evaluation of manufacturing systems, while exploiting the interoperability between various Digital Enterprise Technology tools. The paper shows how a shared ontology-based framework can be used to generate consistent 3D virtual environments and discrete event simulation models, demonstrating this way how the proposed solution can provide an interoperable backbone for heterogeneous software tools.

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Virtual Factory Manager for semantic data handling

Cited by 14 publications

References 5 publications

On knowledge reuse for manufacturing systems design and planning: A semantic technology approach

On knowledge reuse for manufacturing systems design and planning: A semantic technology approach

Wireless Cloud Networks for the Factory of Things: Connectivity Modeling and Layout Design

Semantic Virtual Factory supporting interoperable modelling and evaluation of production systems

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