VFF: Virtual Factory Framework

Sacco, Marco; Pedrazzoli, Paolo; Terkaj, Walter

doi:10.1109/ice.2010.7477041

Cited by 26 publications

(12 citation statements)

References 12 publications

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“…This was also in line with a rich manufacturing research stream dealing with the role and benefits of ontologies for production systems [36][37][38]. The semantic Virtual Factory Data Model (VFDM) has been developed [35], which establishes a coherent and extensible standard for the common representation of the factory entities, such as buildings, processes, products and resources, giving in this way a holistic view of the production environment [34]. The DT goes beyond the VF to include a real time synchronization with the physical system, thanks to which the user or the autonomous system can take the right decision about the actual and the future production, based on a wide range of available information.…”

Section: [19] 2012mentioning

confidence: 79%

“…Research on the DT in manufacturing is an evolution of the already ongoing research stream about Virtual Factories (VF). These are defined as the digitalization of the plant integrated with the real system coming in help to the production during all the lifecycle of each asset [34]. In fact, information generated at design phase of a production system is not exploited during the operational phases, even though they could be highly valuable.…”

Section: [19] 2012mentioning

confidence: 99%

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A Review of the Roles of Digital Twin in CPS-Based Production Systems

Negri

Fumagalli

Macchi

2019

Value Based and Intelligent Asset Management

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The Digital Twin (DT) is one of the main concepts associated to the Industry 4.0 wave. This term is more and more used in industry and research initiatives; however, the scientific literature does not provide a unique definition of this concept. The paper aims at analyzing the definitions of the DT concept in scientific literature, retracing it from the initial conceptualization in the aerospace field, to the most recent interpretations in the manufacturing domain and more specifically in Industry 4.0 and smart manufacturing research. DT provides virtual representations of systems along their lifecycle. Optimizations and decisions making would then rely on the same data that are updated in real-time with the physical system, through synchronization enabled by sensors. The paper also proposes the definition of DT for Industry 4.0 manufacturing, elaborated by the European H2020 project MAYA, as a contribution to the research discussion about DT concept.

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Section: [19] 2012mentioning

confidence: 79%

Section: [19] 2012mentioning

confidence: 99%

A Review of the Roles of Digital Twin in CPS-Based Production Systems

Negri

Fumagalli

Macchi

2019

Value Based and Intelligent Asset Management

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“…A study [31] demonstrated virtual manufacturing is a concept that consists of several different software tools and technologies, containing VR and simulation, to support product introduction processes. Sacco, Pedrazzoli, and Terkaj [32] introduced an integrated VF framework concept to synchronize VF with a real factory. Furthermore, the multi-resolution aspect of VF models of real manufacturing systems was presented by Jain et al [33].…”

Section: Virtual Factorymentioning

confidence: 99%

Demonstration and evaluation of a digital twin-based virtual factory

Yildiz

Møller

Bilberg

2021

Int J Adv Manuf Technol

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Smart manufacturing, tailored by the 4th industrial revolution and forces like innovation, competition, and changing demands, lies behind the concurrent evolution (also known as co-evolution) of products, processes and production systems. Manufacturing companies need to adapt to ever-changing environments by simultaneously reforming and regenerating their product, process, and system models as well as goals and strategies to stay competitive. However, the ever-increasing complexity and ever-shortening lifecycles of product, process and system domains challenge manufacturing organization’s conventional approaches to analysing and formalizing models and processes as well as management, maintenance and simulation of product and system life cycles. The digital twin-based virtual factory (VF) concept, as an integrated simulation model of a factory including its subsystems, is promising for supporting manufacturing organizations in adapting to dynamic and complex environments. In this paper, we present the demonstration and evaluation of previously introduced digital twin-based VF concept to support modelling, simulation and evaluation of complex manufacturing systems while employing multi-user collaborative virtual reality (VR) learning/training scenarios. The concept is demonstrated and evaluated using two different wind turbine manufacturing cases, including a wind blade manufacturing plant and a nacelle assembly line. Thirteen industry experts who have diverse backgrounds and expertise were interviewed after their participation in a demonstration. We present the experts’ discussions and arguments to evaluate the DT-based VF concept based on four dimensions, namely, dynamic, open, cognitive, and holistic systems. The semi-structured conversational interview results show that the DT-based VF stands out by having the potential to support concurrent engineering by virtual collaboration. Moreover, DT-based VF is promising for decreasing physical builds and saving time by virtual prototyping (VP).

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“…This idea emphasizes some features such as agility, scalability, and so forth. It considers four main elements for the implementation: reference model, virtual factory manager, functional modules and integration of knowledge [14]. Thanks to the possibility of providing a tangible virtual 3D environment, the widespread domain of VTs, i.e., VR, not only supports the simulation attribute but also discovers some critical issues of the new ideas before the implementation phase.…”

Section: Role Of Virtual Technologymentioning

confidence: 99%

An Introduction of the Role of Virtual Technologies and Digital Twin in Industry 4.0

Azarian

Solvang

et al. 2020

Lecture Notes in Electrical Engineering

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It is inevitable that technological improvements have affected human's life in any aspect to a large extent. Automation, artificial intelligence, robotics, etc., are some advances contributed to the fourth industrial revolution: Industry 4.0. Despite there are still many arguments, Internet of Things (IoT) and Cyber Physical Systems (CPS) have been widely acknowledged as the main fundaments of Industry 4.0. This paper introduces the concept of CPS by providing an explicit framework that unifies the existing theories in this regard. Nine exquisite technologies attributed to Industry 4.0 are investigated, among which virtual technology (VT) and digital twin (DT) are considered as two of the core criteria and are thus focused on in this paper. However, for providing an acceptable level of integration and intelligence, noticeable gap between the virtual world and the real factory is still a significant challenge. Holistic approaches addressing this issue suggest VTs and DT have the potential to form the fundaments for more improvements in terms of both interoperability and consciousness. Furthermore, they may pave the way for achieving the highest level of CPS and Industry 4.0.

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VFF: Virtual Factory Framework

Cited by 26 publications

References 12 publications

A Review of the Roles of Digital Twin in CPS-Based Production Systems

A Review of the Roles of Digital Twin in CPS-Based Production Systems

Demonstration and evaluation of a digital twin-based virtual factory

An Introduction of the Role of Virtual Technologies and Digital Twin in Industry 4.0

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