Leveraging Digital Twins for Assisted Learning of Flexible Manufacturing Systems

David, Joe; Lobov, Andrei; Lanz, Minna

doi:10.1109/indin.2018.8472083

Cited by 34 publications

(20 citation statements)

References 11 publications

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“…The production line is that of a Flexible Manufacturing System (FMS), the specifics of which are introduced in an earlier work (David, Lobov, & Lanz, 2018). The system consists of components typical of an FM system such as machining centers, loading and material stations, washing machines, crane and its associated storage.…”

Section: Methodsmentioning

confidence: 99%

A unified ontology namespace for enterprise integration - a digital twin case study

David¹,

Martikkala²,

Lobov³

et al. 2019

Instrumentation Engineering, Electronics and Telecommunications

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In order to be able to scale business enterprises and digitally transform them, we need to be able to readily integrate business data. Traditional systems have business data travelling through different layers of the automation stack vertically. This study presents an architecture that employs a unified ontology namespace for integration of business data. Such an architecture is thought to enhance transparency and visibility easing integrations. A use-case exploiting such an architecture with webservices is presented to convey the ease at which different applications, such as a digital twin, can be "plugged in" to realize further business potential of enterprises.

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Section: Methodsmentioning

confidence: 99%

A unified ontology namespace for enterprise integration - a digital twin case study

David¹,

Martikkala²,

Lobov³

et al. 2019

Instrumentation Engineering, Electronics and Telecommunications

Self Cite

View full text Add to dashboard Cite

show abstract

“…Regarding the assessment of autonomous and decentralized decision-making, which is required in CPS [29], [30], it is hard to model these with the proper interactions with other system components and with the correct routing (decided upon by the autonomous object) [3], [12]. However, based on experiences on importing sensor data from a lab environment into the virtual environment, comparing the routes and interaction with the first simulations, and then modify and manipulate these data in the DT (by using game mechanics), a better system understanding can be achieved [31].…”

Section: Related Work 21 Technology Integration Challengesmentioning

confidence: 99%

Digital twin testbed and practical applications in production logistics with real-time location data

Hauge¹,

Zafarzadeh²,

Jeong³

et al. 2021

Int J Ind Eng Manag

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Nowadays, digital twins exist everywhere in various fields. However, an analysis of existing applications in manufacturing and logistics revealed that many entirely apply the concept. To identify when a complete implementation of the concept is beneficial, we analyse the need and the implications within production logistics. This study also presents an architecture supporting integrating a digital twin into production logistics and a corresponding application scenario. Based on this, we have derived practical applications. Each application is applied to different situations, and actual benefits can overcome the limitations of the previous studies.

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“…Regarding the assessment of autonomous and decentralized decision-making, which is required in cyber-physical systems [22,24] it is hard to model these with the right interactions with other system components and with the right routing (decided upon by the autonomous object) [2,21]. However based on experiences on importing sensor data from a labenvironment into the virtual environment, comparing the routes and interaction with the first simulations, and then modify and manipulate these data in the digital twin (by using game mechanics), a better system understanding can be achieved [25].…”

Section: Needs and Requirements On A Digital Twin For Planning Prmentioning

confidence: 99%

“…978-1-7281-7037-4/20/$31.00 ©2020 IEEE Digital twin as a concept was established more than a decade ago, but several definitions exist [14]. Digital twin can mirror or simulate complex scenarios very close to the reality [13,14,24,25]. Besides providing an opportunity to be used as a learning and awareness-increasing tool in which operators, or management can use virtual reality (VR) tools to experience the real working conditions with high precision [26], the digital twin can support the introduction of new technologies and installations within the existing physical environment [23,27].…”

Section: Needs and Requirements On A Digital Twin For Planning Prmentioning

confidence: 99%

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Employing digital twins within production logistics

Hauge¹,

Zafarzadeh

Jeong

et al. 2020

2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)

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Digitalisation and automation of existing processes are key competitive factors for industry. Still, logistic operations often comprise manual effort, because the movement of goods and material places stringent requirements on the interactions between different systems, human-computer/robot-interaction as well as on changes in the operative processes. In general, the introduction and uptake of new enabling technologies, like the IoT, in complex systems evolved over decades, are challenging. The experience has shown that it is hard to assess all restrictions and interactions between new and old components before any new equipment or infrastructure is implemented and put in operation. This paper presents and discusses the usage of digital twins for supporting the decision-making processes in two different areas: Workstation design and logistics operation analysis. The results are based on tests and experiments carried out in a production logistics test-bed that includes physical devices, an IoT-infrastructure and simulation software. The digital twin is realised in a combination of using Unity and the simulation software IPS. The primary results show that there is no one-size fit all in terms of granularity of the underlying simulation model as well as for the reduction of reality in the digital twin, but the results also indicate that a context-aware digital twin supports the decision-making within a given scope.

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Leveraging Digital Twins for Assisted Learning of Flexible Manufacturing Systems

Cited by 34 publications

References 11 publications

A unified ontology namespace for enterprise integration - a digital twin case study

A unified ontology namespace for enterprise integration - a digital twin case study

Digital twin testbed and practical applications in production logistics with real-time location data

Employing digital twins within production logistics

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