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Article

Evaluation of Production of Digital Twins Based on Blockchain Technology

1
Information Systems Department, Faculty of Computers and Information Sciences, Mansoura University, Mansoura 35516, Egypt
2
Faculty of Computers and Informatics, Zagazig University, Sharqiyah 44519, Egypt
3
Department of Operations and Information Management, Aston Business School, Aston University, Birmingham B4 7ET, UK
*
Author to whom correspondence should be addressed.
Academic Editors: Qingqi Pei and Juan M. Corchado
Electronics 2022, 11(8), 1268; https://doi.org/10.3390/electronics11081268
Received: 26 February 2022 / Revised: 2 April 2022 / Accepted: 15 April 2022 / Published: 17 April 2022
(This article belongs to the Special Issue Advances in Industrial IoT, Big Data and Supply Chain)
A blockchain, as a form of distributed ledger technology, represents the unanimity of replication, synchronization, and sharing of data among various geographical sites. Blockchains have demonstrated impressive and effective applications throughout many aspects of the business. Blockchain technology can lead to the advent of the construction of Digital Twins (DTs). DTs involve the real representation of physical devices digitally as a virtual representation of both elements and dynamics prior to the building and deployment of actual devices. DT products can be built using blockchain-based technology in order to achieve sustainability. The technology of DT is one of the emerging novel technologies of Industry 4.0, along with artificial intelligence (AI) and the Internet of Things (IoT). Therefore, the present study adopts intelligent decision-making techniques to conduct a biased analysis of the drivers, barriers, and risks involved in applying blockchain technologies to the sustainable production of DTs. The proposed model illustrates the use of neutrosophic theory to handle the uncertain conditions of real-life situations and the indeterminate cases evolved in decision-makers’ judgments and perspectives. In addition, the model applies the analysis of Multi-criteria Decision Making (MCDM) methods through the use of ordered weighted averaging (OWA) and the Technique of Order Preference Similarity to the Ideal Solution (TOPSIS) to achieve optimal rankings for DT production providers based on consistent weighted decision-maker’s judgments in order to maintain and to assure sustainability. An empirical study is applied to the uncertain environment to aid decision-makers in achieving ideal decisions for DT providers with respect to various DT challenges, promoting sustainability and determining the best service providers. The Monte Carlo simulation method is used to illustrate, predict, and forecast the importance of the weights of decision-makers’ judgments as well as the direct impact on the sustainability of DT production. View Full-Text
Keywords: digital twin; blockchain technologies; sustainability; IoT; AI; industry 4.0; neutrosophic theory; OWA; TOPSIS digital twin; blockchain technologies; sustainability; IoT; AI; industry 4.0; neutrosophic theory; OWA; TOPSIS
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MDPI and ACS Style

Nabeeh, N.A.; Abdel-Basset, M.; Gamal, A.; Chang, V. Evaluation of Production of Digital Twins Based on Blockchain Technology. Electronics 2022, 11, 1268. https://doi.org/10.3390/electronics11081268

AMA Style

Nabeeh NA, Abdel-Basset M, Gamal A, Chang V. Evaluation of Production of Digital Twins Based on Blockchain Technology. Electronics. 2022; 11(8):1268. https://doi.org/10.3390/electronics11081268

Chicago/Turabian Style

Nabeeh, Nada A., Mohamed Abdel-Basset, Abduallah Gamal, and Victor Chang. 2022. "Evaluation of Production of Digital Twins Based on Blockchain Technology" Electronics 11, no. 8: 1268. https://doi.org/10.3390/electronics11081268

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