Opportunities For Use of Block Chain Technology in Medicine Using VIKOR Method

This paper critically analyzes the potential applications of block chain technology and smart contracts in supply chain management, focusing on their relevance to achieving sustainability objectives at both local and global levels. It highlights the influence of governmental policies, societal demands, and consumer pressures on supply chain sustainability. The discussion prompts further exploration into how a distributed ledger, facilitated by block chain technology, could offer solutions. Specifically, it proposes leveraging a block chain platform to digitally register transactions within the supply chain, thereby establishing a comprehensive database system. The decentralization of transactions occurs within the database of the supply chain, enhancing transparency, reliability, traceability, and efficiency in management. This innovative block chain-powered supply chain management system promotes environmental protection, social equality, and administrative efficiency. Its stability and performance in various fields make block chain technology a focal point of this article, emphasizing its role as a decentralized data base Supply Chain Management Systems involve the sharing of information among organizations to support analysis and planning activities. The asymmetry between institutions arises due to the lack of real data, which can disrupt the planning process. With the recent disruption in various industrial sectors, including the emergence of block chain technology, our research focuses on exploring issues in supply chains and implementing solutions using block chain technology to verify their application at every stage. A generalized framework concerning trust in relation to the creation and characteristics of decentralization has been thoroughly analyzed. This framework involves utilizing interval 2-tuple linguistic variables, comprising two linguistic terms and corresponding real numbers, to address personnel selection issues and effectively manage linguistic information in decision-making processes. The proposed Interval 2-Tuple Linguistics of the VIKOR Method offers a flexible and accurate approach. To illustrate its applicability and effectiveness, a numerical example involving tertiary care hospital staff is provided. This chapter emphasizes the value of intervals and discusses the integration of the VIKOR method with MCTM for problem-solving purposes. Initially, we prioritize the range by establishing the Neutron Sophia number, marking a departure. In this promotional procedure, we employ both the Analytical Hierarchy Process (AHP) technique and the VIKOR index for elimination. These methodologies serve distinct purposes; while AHP is geared towards determining magnitude through priority weighting, VIKOR excels in alternative ranking. Big Data Analytics is got the first rank whereas is the Cloud Computing is having the Lowest rank.

Publication Details

Journal
Journal on Electronic and Automation Engineering
Published
2025-10-28
DOI
https://doi.org/10.46632/jeae/4/3/5
Primary Topic
Biomedical and Engineering Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Opportunities For Use of Block Chain Technology in Medicine Using VIKOR Method

Journal on Electronic and Automation Engineering
Biomedical and Engineering Education
article

Opportunities For Use of Block Chain Technology in Medicine Using VIKOR Method

article en

Abstract

This paper critically analyzes the potential applications of block chain technology and smart contracts in supply chain management, focusing on their relevance to achieving sustainability objectives at both local and global levels. It highlights the influence of governmental policies, societal demands, and consumer pressures on supply chain sustainability. The discussion prompts further exploration into how a distributed ledger, facilitated by block chain technology, could offer solutions. Specifically, it proposes leveraging a block chain platform to digitally register transactions within the supply chain, thereby establishing a comprehensive database system. The decentralization of transactions occurs within the database of the supply chain, enhancing transparency, reliability, traceability, and efficiency in management. This innovative block chain-powered supply chain management system promotes environmental protection, social equality, and administrative efficiency. Its stability and performance in various fields make block chain technology a focal point of this article, emphasizing its role as a decentralized data base Supply Chain Management Systems involve the sharing of information among organizations to support analysis and planning activities. The asymmetry between institutions arises due to the lack of real data, which can disrupt the planning process. With the recent disruption in various industrial sectors, including the emergence of block chain technology, our research focuses on exploring issues in supply chains and implementing solutions using block chain technology to verify their application at every stage. A generalized framework concerning trust in relation to the creation and characteristics of decentralization has been thoroughly analyzed. This framework involves utilizing interval 2-tuple linguistic variables, comprising two linguistic terms and corresponding real numbers, to address personnel selection issues and effectively manage linguistic information in decision-making processes. The proposed Interval 2-Tuple Linguistics of the VIKOR Method offers a flexible and accurate approach. To illustrate its applicability and effectiveness, a numerical example involving tertiary care hospital staff is provided. This chapter emphasizes the value of intervals and discusses the integration of the VIKOR method with MCTM for problem-solving purposes. Initially, we prioritize the range by establishing the Neutron Sophia number, marking a departure. In this promotional procedure, we employ both the Analytical Hierarchy Process (AHP) technique and the VIKOR index for elimination. These methodologies serve distinct purposes; while AHP is geared towards determining magnitude through priority weighting, VIKOR excels in alternative ranking. Big Data Analytics is got the first rank whereas is the Cloud Computing is having the Lowest rank.

Journal on Electronic and Automation EngineeringVol. 4(3, September 2025)
Openalex Percentile: Top 70%
Biomedical and Engineering Education
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