End-to-end industrial IoT platform for Quality 4.0 applications

Christou, Ioannis T.; Kefalakis, Nikos; Soldatos, John; Despotopoulou, Angela-Maria

doi:10.1016/j.compind.2021.103591

Cited by 74 publications

(38 citation statements)

References 20 publications

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“…In the times of Industry 4.0, there is a conception Quality 4.0-which means the use of an Industry 4.0 technological solution in the area of quality [77]. The implementation of Quality 4.0 and quality improvements in much research, like in our paper, is one of the most important elements of proper Industry 4.0 implementation [78].…”

Section: Discussionmentioning

confidence: 86%

Influence of Industry 4.0 Projects on Business Operations: Literature and Empirical Pilot Studies Based on Case Studies in Poland

Gajdzik

Wolniak

2022

Journal of Open Innovation: Technology, Market, and Complexity

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For the past decade, Industry 4.0 has become the basis for building competitive advantage for business operations. The key technologies of Industry 4.0 are implemented in enterprises of various industries. This paper focuses on presenting the results of research on the influence of the Industry 4.0 concept on the operations of enterprises that are implementing smart manufacturing (SM) projects. The paper analyses the following areas of influence of projects on the enterprises’ operations: productivity, agility and speed, quality, competitiveness and enterprise value, profitability, staff reduction, delivery improvements, vertical and horizontal integration, resource savings, reduction of operating costs, technology adaptability and quality of machine operations. The paper belongs to the research paper category. The research tool was a questionnaire. The research was carried out in the segment of steel enterprises in Poland. The results of the presented research belong to pilot research of a segment of steel industry in Poland. The main conclusion of the study is that implementation of Industry 4.0 in the Polish steel sector had a positive influence on many factors strictly connected with the innovativeness of the company. Especially, the implementation of this conception in the steel sector leads to an increase in the quality of the product and the possibility to achieve a good level of customization of the product. Those factors are very important for the steel sector potential to succeed on the competitive market. The individual SM projects that were evaluated were a form of case study. The participants of the research were employees in managerial positions and operating technological installations in steel sector enterprises. In the opinion of the surveyed (79 people), depending on the type and scope of changes implemented in the company in the direction of Industry 4.0, decision-makers expect a higher quality of processes and products, the ability to meet customer requirements—the direction of the personalization of products and services, agility and flexibility of performed operations with the use of smart technology and accuracy and precision of performance higher than in the case of manual human activities.

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Section: Discussionmentioning

confidence: 86%

Influence of Industry 4.0 Projects on Business Operations: Literature and Empirical Pilot Studies Based on Case Studies in Poland

Gajdzik

Wolniak

2022

Journal of Open Innovation: Technology, Market, and Complexity

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“…CPS realizes a closed-loop system of state perception, real-time analysis, scientific decision-making and precise execution, which helps to solve the problem caused by complexity and uncertainty in the manufacturing process and improve resource allocation efficiency. Christou et al (2022) proposed an end-to-end platform architecture for quality management and predictive maintenance. Song et al (2021) proposed a behavioral model-driven approach for CPS life cycle support modeling and validated the effectiveness of the approach through a laboratory case study.…”

Section: Literature Reviewmentioning

confidence: 99%

A knowledge-based real-time scheduling system for steam turbine assembly under CPS environment

Wang

Hu²,

Zhang³

2022

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Purpose Steam turbine final assembly is a dynamic process, in which various interference events occur frequently. Currently, data transmission relies on oral presentation, while scheduling depends on the manual experience of managers. This mode has low information transmission efficiency and is difficult to timely respond to emergencies. Besides, it is difficult to consider various factors when manually adjusting the plan, which reduces assembly efficiency. The purpose of this paper is to propose a knowledge-based real-time scheduling system under cyber-physical system (CPS) environment which can improve the assembly efficiency of steam turbines. Design/methodology/approach First, an Internet of Things based CPS framework is proposed to achieve real-time monitoring of turbine assembly and improve the efficiency of information transmission. Second, a knowledge-based real-time scheduling system consisting of three modules is designed to replace manual experience for steam turbine assembly scheduling. Findings Experiments show that the scheduling results of the knowledge-based scheduling system outperform heuristic algorithms based on priority rules. Compared with manual scheduling, the delay time is reduced by 43.9%. Originality/value A knowledge-based real-time scheduling system under CPS environment is proposed to improve the assembly efficiency of steam turbines. This paper provides a reference paradigm for the application of the knowledge-based system and CPS in the assembly control of labor-intensive engineering-to-order products.

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“…In the field of power stations, the power station can save 1% of fuel through IIoT, and the power station can save $66 billion in operating costs [ 10 , 11 ]. Therefore, IIoT is gaining popularity in oil and gas, energy production, coal mining, chemical plants, automobile production, logistics processes, pharmaceutical plants, ship handling, and aviation operations [ 12 , 13 , 14 ].…”

Section: Introductionmentioning

confidence: 99%

WSNEAP: An Efficient Authentication Protocol for IIoT-Oriented Wireless Sensor Networks

Zhang

et al. 2022

Sensors

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With the development of the Industrial Internet of Things (IIoT), industrial wireless sensors need to upload the collected private data to the cloud servers, resulting in a large amount of private data being exposed on the Internet. Private data are vulnerable to hacking. Many complex wireless-sensor-authentication protocols have been proposed. In this paper, we proposed an efficient authentication protocol for IIoT-oriented wireless sensor networks. The protocol introduces the PUF chip, and uses the Bloom filter to save and query the challenge–response pairs generated by the PUF chip. It ensures the security of the physical layer of the device and reduces the computing cost and communication cost of the wireless sensor side. The protocol introduces a pre-authentication mechanism to achieve continuous authentication between the gateway and the cloud server. The overall computational cost of the protocol is reduced. Formal security analysis and informal security analysis proved that our proposed protocol has more security features. We implemented various security primitives using the MIRACL cryptographic library and GMP large number library. Our proposed protocol was compared in-depth with related work. Detailed experiments show that our proposed protocol significantly reduces the computational cost and communication cost on the wireless sensor side and the overall computational cost of the protocol.

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End-to-end industrial IoT platform for Quality 4.0 applications

Cited by 74 publications

References 20 publications

Influence of Industry 4.0 Projects on Business Operations: Literature and Empirical Pilot Studies Based on Case Studies in Poland

Influence of Industry 4.0 Projects on Business Operations: Literature and Empirical Pilot Studies Based on Case Studies in Poland

A knowledge-based real-time scheduling system for steam turbine assembly under CPS environment

WSNEAP: An Efficient Authentication Protocol for IIoT-Oriented Wireless Sensor Networks

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