Virtual Engineering Factory: Creating Experience Base for Industry 4.0

Shafiq, Syed Imran; Sanín, Cesar; Szczerbicki, Edward; Toro, Carlos

doi:10.1080/01969722.2016.1128762

Cited by 81 publications

(37 citation statements)

References 22 publications

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“…With regards to the development of Operator 4.0-based automation systems, attention has to be paid to the design principles of Industry 4.0 solutions, which are decentralization, virtualization, reconfiguration and adaptability [45][46][47]. How these principles should be applied during the development process is presented in Table 2.…”

Section: Virtual Operatormentioning

confidence: 99%

Enabling Technologies for Operator 4.0: A Survey

et al. 2018

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The fast development of smart sensors and wearable devices has provided the opportunity to develop intelligent operator workspaces. The resultant Human-Cyber-Physical Systems (H-CPS) integrate the operators into flexible and multi-purpose manufacturing processes. The primary enabling factor of the resultant Operator 4.0 paradigm is the integration of advanced sensor and actuator technologies and communications solutions. This work provides an extensive overview of these technologies and highlights that the design of future workplaces should be based on the concept of intelligent space.

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Section: Virtual Operatormentioning

confidence: 99%

Enabling Technologies for Operator 4.0: A Survey

et al. 2018

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“…It uses shape-related information of an object and experiential knowledge (formal decisions made) for decision-making. In a similar context, Shafiq et al [24] and Shafiq et al [25] coined two more concepts, namely Virtual Engineering Process (VEP) and Virtual Engineering Factory (VEF) for decision-making in process planning and factory optimization, respectively. Ahmed et al [26] and Ahmed et al [27] added that virtual abstractions of object, process, and factory associated with SOEKS and DDNA help smart knowledge management, which functionalizes the requirements of Industry 4.0.…”

Section: Literature Reviewmentioning

confidence: 99%

Machining Phenomenon Twin Construction for Industry 4.0: A Case of Surface Roughness

Ghosh

Ullah

Kubo

et al. 2020

JMMP

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Industry 4.0 requires phenomenon twins to functionalize the relevant systems (e.g., cyber-physical systems). A phenomenon twin means a computable virtual abstraction of a real phenomenon. In order to systematize the construction process of a phenomenon twin, this study proposes a system defined as the phenomenon twin construction system. It consists of three components, namely the input, processing, and output components. Among these components, the processing component is the most critical one that digitally models, simulates, and validates a given phenomenon extracting information from the input component. What kind of modeling, simulation, and validation approaches should be used while constructing the processing component for a given phenomenon is a research question. This study answers this question using the case of surface roughness-a complex phenomenon associated with all material removal processes. Accordingly, this study shows that for modeling the surface roughness of a machined surface, the approach called semantic modeling is more effective than the conventional approach called the Markov chain. It is also found that to validate whether or not a simulated surface roughness resembles the expected roughness, the outcomes of the possibility distribution-based computing and DNA-based computing are more effective than the outcomes of a conventional computing wherein the arithmetic mean height of surface roughness is calculated. Thus, apart from the conventional computing approaches, the leading edge computational intelligence-based approaches can digitize manufacturing processes more effectively.understanding, predicting, decision-making, and adapting [2,[4][5][6][7]. To achieve the above-mentioned requirements, Industry 4.0 requires some knowledge-centric embedded systems such as the Internet of Things (IoT), the Industrial Internet of Things (IIoT), and Cyber-Physical Systems (CPS) [8][9][10][11][12]. Consider CPS. These systems are nothing but ever-growing knowledge-based systems that ensure a seamless merger between the physical and cyber worlds [6,10,13,14]. The physical world refers to the manufacturing enablers (e.g., machines, tools, sensors, physical networks among computing devices, actuators, robots, computers, and the like). These are needed to perform the manufacturing activities in the real world. These enablers are linked with each other by the Internet-based infrastructures (e.g., IoT). On the other hand, the cyber world refers to the computational entities (e.g., data analytics, knowledge-based systems, algorithms, decision-making systems, and the like) and cloud-based data storage systems (e.g., historical data, information, big data, and the like). In order to materialize the CPS, the IoT-based enablers, cloud-based data storage systems, and manufacturing knowledge-bases interact with each other whenever needed; this scenario is shown in Figure 1. As seen in Figure 1, the Industry 4.0-based CPS contains Digital Twins (DTs), among others. By definition, a DT means a computable virtual ab...

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“…The smart factory is regarded as a kind of intelligent factories which is the major goals of Industry 4.0 [32]. Multi-agents simulation used in manufacturers resource planning [3], and value-added integration either horizontally or vertically or mixed style in the manufacturing process becomes one trend [34] [35]. Value creation modules from the material procurement to the logistics expanded and implemented horizontally, whereas the vertical procedure integrates product, equipment, and operators.…”

Section: Smart Factorymentioning

confidence: 99%

The SURUGA Gateway: An Advanced CPS Equipping Smart Factory

Jin

Nakatsuka

Matsukawa

2019

iscm

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Cyber-physical system (CPS) is one core concept of Industry 4.0. A cyber space has mirror information of physical space and activities in the physical space are synchronized with activities in cyber space. SURUGA Gateway is a CPS, running in a Japanese robot component producer. Innovation process (design) and operation (manufacturing) process is integrated together on the SURUGA Gateway, enabling high quality, short leadtime, low cost, and high flexibility. Various decisions were made in the cyber space, then executed in physical space automatically. Materials input to manufacturing process according to production plan which created by modified ERP (enterprise resource planning) system, fabricated according to optimized routing and scheduling. All NC (numerical control) machines and MC (machining center) were connected and integrated on a centralized platform using Ethercat protocol and interface, and serial electronic signal control for old machines. The KAMISHIBAI (VPS: virtual production system) is embedded in the SURUGA Gateway, providing online training to assembly operators. Innovation process drives operation process, while know-how to improve efficiency and quality in operation process is feedback to the innovation process. The integration of innovation process and operation process, specifically the integration of design, material flow, machine flow and human resource is most successful point of the SURUGA Gateway. SURUGA Gateway successfully reduced leadtime by 80% and recognized as best practice in Hannover Messe and G20 business conference.

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Virtual Engineering Factory: Creating Experience Base for Industry 4.0

Cited by 81 publications

References 22 publications

Enabling Technologies for Operator 4.0: A Survey

Enabling Technologies for Operator 4.0: A Survey

Machining Phenomenon Twin Construction for Industry 4.0: A Case of Surface Roughness

The SURUGA Gateway: An Advanced CPS Equipping Smart Factory

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