Design of Smart Factory Web Services  Based on the Industrial Internet of Things

Jung, Jieun; Song, Byunghun; Watson, Kym; Usländer, Thomas

doi:10.24251/hicss.2017.716

Cited by 20 publications

(16 citation statements)

References 9 publications

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“…Based on previous work (Huang et al , 2010; Schleipen et al , 2015; Wu et al , 2015; Jung et al , 2017), we compare the security features and capabilities of a typical OPC UA architecture with our blockchain-based architecture in Table I. The added value of our blockchain-based implementation is that it allows for greater transparency and auditing of all processes for the customer, whereas access by external parties to machines and devices of a factory is typically restricted.…”

Section: Discussionmentioning

confidence: 99%

Trustworthy data-driven networked production for customer-centric plants

Preuveneers

Joosen

Ilie‐Zudor

2017

IMDS

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Purpose: Industry 4.0 envisions a future of networked production where interconnected machines and busi-5 ness processes running in the cloud will communicate with one another to optimize production and enable more efficient and sustainable individualized/mass manufacturing. However, the openness and process transparency of networked production in hyperconnected manufacturing enterprises pose severe cyber-security threats and information security challenges that need to be dealt with. 10Design/methodology/approach: This paper presents a distributed trust model and middleware for collaborative and decentralized access control to guarantee data transparency, integrity, authenticity, and authorization of dataflow-oriented Industry 4.0 processes. Findings:The results of a performance study indicate that private blockchains are capable of securing 15IoT-enabled dataflow-oriented networked production processes across the trust boundaries of the Industry 4.0 manufacturing enterprise.Originality/value: This paper contributes a decentralized identity and relationship management for users, sensors, actuators, gateways and cloud services to support processes that cross the trust boundaries of the 20 manufacturing enterprise, while offering protection against malicious adversaries gaining unauthorized access to systems, services and information.

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Section: Discussionmentioning

confidence: 99%

Trustworthy data-driven networked production for customer-centric plants

Preuveneers

Joosen

Ilie‐Zudor

2017

IMDS

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“…Various researchers defined IIoT as the combination of Internet of thing (IoT), machines, people, computers, doing various manufacturing operation using advance data analyzing techniques for converting traditional business approach to full automation and redefining all concept [8]. The IIoT facilitate companies to use sensors, software's and other technology to collect data from various physical source and use them to manage the operation and provide value services [9]. Various definitions of IIoT areas: The use of IoT engineering which includes smart objects in the cyber Field for the benefits of industries.…”

Section: -1-industrial Internet Of Thingsmentioning

confidence: 99%

Integration of Next Generation IIoT with Blockchain for the Development of Smart Industries

et al. 2020

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In modern era, a wide range of smart industries is being focus on automation-based applications. Various technologies are rapidly implementing in Industrial Internet of Things (IIoT) for manufacturing sectors that helping to achieve advanced schedule production framework and on time delivery of products. The integration of IIoT platforms with the blockchain are challenging service in manufacturing system. The primary objective of this article is to characterize various issues and challenges that are implementing IIoT and blockchain in industries. The proposed work is an integration of IIoT and blockchain in industrial processes for solving the security issues in real-time. Also, identifying various enablers of blockchain and issues of IIoT from smart industries manufacturing using a survey tool is formed in the form of questionnaire. Based on these responses Decision Making Trial and Evaluation Laboratory (DEMATEL) technique has been implemented for categorizing these challenges into cause and effect. In this paper, we introduce the general layout with their key issues and challenges of IIoT and blockchain that signifies the safety requirements to design the IIoT and blockchain. Further, we describe how IIoT can be integrated to the blockchain for smart Industrial applications. Finally, various recommendations are the proposed to upcoming IIoT and blockchain developments. The proposed work will be highly beneficial for the smart industries to develop a next generation IIoT and blockchain based framework.

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“…This section clearly sets out the Industry 4.0 principles faced by industry today. The different problems that need improvement and integration that are facing manufacturers include the multitude of systems, the diversity of specific machinery for each task, the lack of communication between them all, Enterprise Resource Planning (ERP) managed maintenance, the absence of a Manufacturing Execution System (MES) in all the machines, and the concept that the geographical location of a factory should not affect its integration in the system [ 15 ], among others.…”

Section: Current Industry 40 Requirementsmentioning

confidence: 99%

Practical Use of Robot Manipulators as Intelligent Manufacturing Systems

Blanco

Abu‐Dakka

Abderrahim

2018

Sensors

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This paper presents features and advanced settings for a robot manipulator controller in a fully interconnected intelligent manufacturing system. Every system is made up of different agents. As also occurs in the Internet of Things and smart cities, the big issue here is to ensure not only that implementation is key, but also that there is better common understanding among the main players. The commitment of all agents is still required to translate that understanding into practice in Industry 4.0. Mutual interactions such as machine-to-machine and man-to-machine are solved in real time with cyber physical capabilities. This paper explores intelligent manufacturing through the context of industrial robot manipulators within a Smart Factory. An online communication algorithm with proven intelligent manufacturing abilities is proposed to solve real-time interactions. The algorithm is developed to manage and control all robot parameters in real-time. The proposed tool in conjunction with the intelligent manufacturing core incorporates data from the robot manipulators into the industrial big data to manage the factory. The novelty is a communication tool that implements the Industry 4.0 standards to allow communications among the required entities in the complete system. It is achieved by the developed tool and implemented in a real robot and simulation

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Design of Smart Factory Web Services Based on the Industrial Internet of Things

Abstract: The Industrial Internet of Things (IIoT)

Cited by 20 publications

References 9 publications

Trustworthy data-driven networked production for customer-centric plants

Trustworthy data-driven networked production for customer-centric plants

Integration of Next Generation IIoT with Blockchain for the Development of Smart Industries

Practical Use of Robot Manipulators as Intelligent Manufacturing Systems

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