A Hybrid MCDM Model Combining DANP and PROMETHEE II Methods for the Assessment of Cybersecurity in Industry 4.0
07 Aug 2021-Sustainability (Multidisciplinary Digital Publishing Institute)-Vol. 13, Iss: 16, pp 8833
TL;DR: 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 was indicated.
Abstract: 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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TL;DR: In this article , a hybrid ANP (H-ANP) method is proposed to improve the ANP by combining the weights obtained from the analytic hierarchy process (AHP).
Abstract: The evaluation of government data sustainability is a multicriteria decision making problem. The analytic network process (ANP) is among the most popular methods in determining the weights of criteria, and its limitation is the un-convergence problem. This paper proposes a hybrid ANP (H-ANP) method, which aims to improve the ANP by combining the weights obtained from the analytic hierarchy process (AHP). The proposed method is proved to be convergent since the network of the H-ANP is strongly connected. According to the simulation experiments, H-ANP is more robust than ANP under different settings of parameters. It also shows a higher Kendall cor-relationship and lower MSE with respect to AHP, compared with the existing method (e.g., the averagely connected ANP method). An empirical example is also provided, which uses H-ANP to evaluate the government data sustainability of a city.
9 citations
5 citations
TL;DR: The findings show that smart contracts make the delivery processes more efficient and proof of delivery more reliable, but the methods and metrics are too complex and qualitative, limiting the smart contract’s capability to measure performance, and indicate potential transaction costs reduction by implementing a blockchain-based performance measurement.
Abstract: The growth of the enterprise blockchain research supporting supply chain management calls for investigations of their impact and mindfulness of their design, use cases, and pilots. With a blockchain design for the Proof of Delivery (PoD) process management, this paper contributes to learning about performance measurement and the transaction costs implications during the development and application of smart contracts. An experimental design science approach is applied to develop an open-source blockchain to explore ways to make the delivery processes more efficient, the proof of delivery more reliable, and the performance measurements more accurate. The theory of Transaction Costs is applied to evaluate the cost implications of the adoption of smart contracts in the management of the PoD. The findings show that smart contracts make the delivery processes more efficient and proof of delivery more reliable. Yet, the methods and metrics are too complex and qualitative, limiting the smart contract’s capability to measure performance. Our findings indicate potential transaction costs reduction by implementing a blockchain-based performance measurement. The complexities of the delivery process and proof of delivery call for pre-contractual steps to identify the processes and performance metrics to design blockchains. Smart contracts need further development and digital aids to handle qualitative inspections and proof of delivery generation during the delivery process. The blockchain requires the system’s capacity to record off-chain transactions, such as in case of disputes resolutions. The authors extended blockchain research beyond the theoretical level, designing an open-source blockchain for supply chain management within the use case, pilot design, and case study.
5 citations
TL;DR: The role of cybersecurity in the effective implementation of Industry 4.0 and the safety of multiple business process systems through cybersecurity are given and technologies used to enhance the cybersecurity process are discussed.
Abstract:
Purpose
Industry 4.0 refers to the interconnection of cyber-physical systems, which connects the physical and digital worlds by collecting digital data from physical objects/processes, and using this data to drive automation and optimisation. Digital technologies used in this revolution gather and handle massive volumes of high-velocity streams while automating field operations and supply chain activities. Cybersecurity is a complicated process that helps sort out various hacking issues of Industry 4.0. This purpose of this paper is to provide an overview on cybersecurity and its major applications for Industry 4.0.
Design/methodology/approach
The rise of Industry 4.0 technologies is changing how machines and associated information are obtained to evaluate the data contained within them. This paper undertakes a comprehensive literature-based study. Here, relevant research papers related to cybersecurity for Industry 4.0 are identified and discussed. Cybersecurity results in high-end products, with faster and better goods manufactured at a lesser cost.
Findings
Artificial intelligence, cloud computing, internet of things, robots and cybersecurity are being introduced to improve the Industry 4.0 environment. In the starting, this paper provides an overview of cybersecurity and its advantages. Then, this study discusses technologies used to enhance the cybersecurity process. Enablers, progressive features and steps for creating a cybersecurity culture for Industry 4.0 are discussed briefly. Also, the research identified the major cybersecurity applications for Industry 4.0 and discussed them. Cybersecurity is vital for better data protection in many businesses and industrial control systems. Manufacturing is getting more digitised as the sector embraces automation to a more significant level than ever before.
Originality/value
This paper states about Industry 4.0 and the safety of multiple business process systems through cybersecurity. A significant issue for Industry 4.0 devices, platforms and frameworks is undertaken by cybersecurity. Digital transformation in the Industry 4.0 era will increase industrial competitiveness and improve their capacity to make optimum decisions. Thus, this study would give an overview of the role of cybersecurity in the effective implementation of Industry 4.0.
4 citations
TL;DR: In this paper , an experimental design science approach is applied to develop an open-source blockchain to explore ways to make the delivery processes more efficient, the proof of delivery more reliable, and the performance measurements more accurate.
Abstract: The growth of the enterprise blockchain research supporting supply chain management calls for investigations of their impact and mindfulness of their design, use cases, and pilots. With a blockchain design for the Proof of Delivery (PoD) process management, this paper contributes to learning about performance measurement and the transaction costs implications during the development and application of smart contracts. An experimental design science approach is applied to develop an open-source blockchain to explore ways to make the delivery processes more efficient, the proof of delivery more reliable, and the performance measurements more accurate. The theory of Transaction Costs is applied to evaluate the cost implications of the adoption of smart contracts in the management of the PoD. The findings show that smart contracts make the delivery processes more efficient and proof of delivery more reliable. Yet, the methods and metrics are too complex and qualitative, limiting the smart contract’s capability to measure performance. Our findings indicate potential transaction costs reduction by implementing a blockchain-based performance measurement. The complexities of the delivery process and proof of delivery call for pre-contractual steps to identify the processes and performance metrics to design blockchains. Smart contracts need further development and digital aids to handle qualitative inspections and proof of delivery generation during the delivery process. The blockchain requires the system’s capacity to record off-chain transactions, such as in case of disputes resolutions. The authors extended blockchain research beyond the theoretical level, designing an open-source blockchain for supply chain management within the use case, pilot design, and case study.
3 citations
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