An IoT based industry 4.0 architecture for integration of design and manufacturing systems

Anbalagan, Arivazhagan; Moreno‐García, Carlos Francisco

doi:10.1016/j.matpr.2020.11.196

Cited by 11 publications

(4 citation statements)

References 17 publications

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“…For example, when COVID-19 patients need ventilators immediately, a quick manufacturing setup and process simulation should be required. The problem can be fixed in the current context by using digital twining if an ongoing feedback system is implemented using RFID-based CAD integration technology (Anbalagan and Moreno-Garcia, 2021). Several studies claimed that integrated AMT reduces 20 to 30% of supply chain costs (e.g.…”

Section: Mediating Role Of Advanced Manufacturing Technology Between ...mentioning

confidence: 99%

“…Industry 4.0-enabling technologies, such as information technology (IT) (Chugh et al , 2016) and advanced manufacturing technology (AMT) (Bai and Sarkis, 2017; Pozzi et al , 2021), integrate information and incline toward the automated process of control systems (Shahzad et al , 2020; Bai and Sarkis, 2017). Those technologies demonstrate the aptitude to acquire and access data to develop new insights (Anbalagan and Moreno-Garcia, 2021). To communicate and analyze information in the GSCC practices, firms need to embrace IT and AMT to overcome the deficiencies.…”

Section: Introductionmentioning

confidence: 99%

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Embracing green supply chain collaboration through technologies: the bridging role of advanced manufacturing technology

Akhtar

Huo

Wang

2023

JBIM

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Purpose The implementation of green collaboration has evolved from the interfirm level to the supply chain level, which requires more participation in information and manufacturing technologies. Despite many efforts to green supply chain collaboration (GSCC), the research on how to enhance it from a technological perspective remains unclear. Thus, this study aims to address this gap by exploring how to enhance green supplier, internal and customer collaboration through using information technology (IT) and advanced manufacturing technology (AMT), which further accelerates environmental and economic performance. Design/methodology/approach This study was conducted based on survey data collected from 213 manufacturing firms from different industries. The direct effects of the conceptual model were tested using the method of structural equation modeling (SEM), whereas the bootstrapping method tested the mediation effects of AMT between IT and GSCC. Findings The results show that green supplier collaboration (GSC) is significantly associated with environmental performance, while green customer collaboration (GCC) is positively related to economic performance. Green internal collaboration not only enhances green supplier and customer collaboration but also boosts environmental and economic performance. IT directly improves green internal collaboration but is negatively related to GSC and insignificantly related to GCC. However, AMT not only enhances green internal, supplier and customer collaboration but also mediates the relationship between IT and green supplier and customer collaboration. Originality/value This study offers comprehensive and novel insights into GSCC from a technological perspective, giving rise to meaningful contributions to green practices for both scholars and practitioners.

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Section: Mediating Role Of Advanced Manufacturing Technology Between ...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Embracing green supply chain collaboration through technologies: the bridging role of advanced manufacturing technology

Akhtar

Huo

Wang

2023

JBIM

View full text Add to dashboard Cite

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“…Based on the applications of smart industrial deployment and design, industry 4.0 focuses on human-to-machine communication, improved automation, and machine-to-machine communication. Thus, the challenges in smart network security should be identified by industry 4.0 [4]. The foundation of industry 4.0 is Cyber-Physical Systems (CPSs) and its advancement was expected by 2025.…”

Section: Introductionmentioning

confidence: 99%

HFTDAO: Hybrid Fuzzy-based Tasmanian Devil Arithmetic Optimization for Trust worthy Data Communication in the WSN

TF,

et al. 2024

Preprint

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Wireless sensor networks (WSN) play a significant role in various applications as a communication framework in the field of the Internet of things (IoT). Secure data communication over unsteady wireless connections becomes the main concern in WSN. In order to assure reliable and secure data delivery, numerous research works use authentication-based opportunistic routing protocols. However, it is identified that opportunistic routing protocols are more susceptible to cyber security attacks; particularly, Denial of service (DoS) attacks which causes network failures by disrupting the normal operation of the wireless network. Therefore, in this paper, we propose a novel trust-based routing protocol to safeguard the network from DoS attacks by providing better reliability and authenticity to the wireless channels. The proposed hybrid fuzzy-based Tasmanian devil arithmetic optimization (HFTDAO) algorithm analyzes the historic data information of wireless links and selects the optimal routing channel based on link trust. The novelty of the HFTDAO algorithm is, it utilizes the exploration ability of the Tasmanian devil algorithm and the exploitation ability of arithmetic optimization to enhance the searching ability of the algorithm; the exploring behavior is mechanically shifted among them by means of the tendency factor. In contrast to existing routing protocols, the proposed trust-based opportunistic routing protocol enhances the effectiveness of data delivery. The utilization of mutual authentication algorithm avoids invalid or unreliable data communication directed by DoS attacks and thus provides better data integrity. Also, the verification scheme performed before data delivery speeds up the isolation process of the DoS attack. The efficiency of the proposed model is compared with the existing techniques in terms of different performance metrics such as using different performance measures including PDR (Packet Delivery Ratio), the number of verifications, end-to-end latency, and control packet overhead. When compared to other approaches, the proposed HFTDAO algorithm has a very high throughput value, DoS attack identification rate, and packet delivery ratio.

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“…They identified the same set of technologies. In their view, the components of the fourth industrial revolution cover nine areas: Industrial Internet of Things [11][12][13], Cybersecurity [14][15][16], Autonomous robots [17], Additive Manufacturing [18,19], Optimization & Simulation [20,21], Horizontal and Vertical System Integration [22,23], Cloud Computing [24,25], Big Data Analysis [26,27] and Augmented Reality [28,29]. Each of the above nine Industry 4.0 areas can contribute to sustainable manufacturing.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid MCDM Model Combining DANP and PROMETHEE II Methods for the Assessment of Cybersecurity in Industry 4.0

Torbacki

2021

Sustainability

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IT technologies related to Industry 4.0 facilitate the implementation of the framework for sustainable manufacturing. At the same time, Industry 4.0 integrates IT processes and systems of production companies with IT solutions of cooperating companies that support a complete manufactured product life cycle. Thus, the implementation of sustainable manufacturing implies a rapid increase in interfaces between IT solutions of cooperating companies. This, in turn, raises concerns about security among manufacturing company executives. The lack of a recognized methodology supporting the decision-making process of choosing the right methods and means of cybersecurity is, in effect, a significant barrier to the development of sustainable manufacturing. As a result, the propagation of technologies in Industry 4.0 and the implementation of the sustainable manufacturing framework in companies are slowing down significantly. The main novelty of this article, addressing the above deficiencies, is the creation, using the combined DEMATEL and ANP (DANP) and PROMETHEE II methods, of a ranking of the proposed three groups of measures, seven dimensions and twenty criteria to be implemented in companies to ensure cybersecurity in Industry 4.0 and facilitate the implementation of the sustainable production principles. The contribution of Industry 4.0 components and the proposed cybersecurity scheme to achieve the Sustainable Development goals, reducing the carbon footprint of companies and introducing circular economy elements was also indicated. Using DANP and PROMETHEE II, it can be concluded that: (i) the major criterion of cybersecurity in companies is validation and maintaining electronic signatures and seals; (ii) the most crucial area of cybersecurity is network security; (iii) the most significant group of measures in this regard are technological measures.

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An IoT based industry 4.0 architecture for integration of design and manufacturing systems

Cited by 11 publications

References 17 publications

Embracing green supply chain collaboration through technologies: the bridging role of advanced manufacturing technology

Embracing green supply chain collaboration through technologies: the bridging role of advanced manufacturing technology

HFTDAO: Hybrid Fuzzy-based Tasmanian Devil Arithmetic Optimization for Trust worthy Data Communication in the WSN

A Hybrid MCDM Model Combining DANP and PROMETHEE II Methods for the Assessment of Cybersecurity in Industry 4.0

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