Intuitive Development to Examine Collaborative IoT Supply Chain System Underlying Privacy and Security Levels and Perspective Powering through Proactive Blockchain

Undoubtedly, the supply chain management (SCM) system is an important part of many organizations worldwide; over time, the technologies used to manage a supply chain ecosystem have, therefore, a great impact on businesses’ effectiveness. Among others, numerous developments have been made that targeted to have robust supply chain systems to efficiently manage the growing demands of various supplies, considering the underlying requirements and main challenges such as scalability, specifically privacy and security, of various business networks. Internet of things (IoT) comes with a solution to manage a complex, scalable supply chain system, but to provide and attain enough security during information exchange, along with keeping the privacy of its users, is the great inherent challenge of IoT. To fulfill these limitations, this study designs and models a scaled IoT-based supply chain (IoT-SC) system, comprising several operations and participants, and deploys mechanisms to leverage the security, mainly confidentially, integrity, authentication (CIA), and a digital signature scheme to leverage potentially secured non-repudiation security service for the worst-case scenario, and to leverage privacy to keep users sensitive personal and location information protected against adversarial entities to the IoT-SC system. Indeed, a scaled IoT-SC system certainly opens new challenges to manage privacy and security while communicating. Therefore, in the IoT-SC system, each transaction writes from edge computing nodes to the IoT-SC controller is thoroughly examined to ensure the proposed solutions in bi-directional communication, and their robustness against adversarial behaviors. Future research works, employing blockchain and its integrations, are detailed as paces to accelerate the privacy and security of the IoT-SC system, for example, migrating IoT-centric computing to an immutable, decentralized platform.

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Enabling Blockchain Based SCM Systems with a Real Time Event Monitoring Function for Preemptive Risk Management

Applied Sciences ◽

10.3390/app11114811 ◽

2021 ◽

Vol 11 (11) ◽

pp. 4811

Author(s):

Chung-Hong Lee ◽

Hsin-Chang Yang ◽

Yu-Chen Wei ◽

Wen-Kai Hsu

Keyword(s):

Supply Chain ◽

Real Time ◽

Data Privacy ◽

Early Stage ◽

Event Monitoring ◽

Privacy And Security ◽

Supply Chain System ◽

Chain System ◽

Blockchain Technology ◽

Demand Fluctuations

The risk of supply chain disruption is usually related to daily disturbances in supply chain operations (e.g., demand fluctuations) and some emergency risks, such as earthquakes and epidemic outbreaks. During a crisis, companies need agility to quickly find new suppliers and open auxiliary sales channels to meet customer needs and remain competitive. However, identifying “event” is one of the most difficult challenges of current decision support systems. If the system encounters an emergency, it is usually unable to promptly notify users of the warning to avoid risks. A sensible solution is to incorporate the real-time event-monitoring system into SCM (i.e., supply chain management) in order to share emergency information in the early stage for preemptive management in the supply chain. On the other hand, in order to process confidential supply chain data with other members, the SCM infrastructure requires secure data sharing. The blockchain-based SCM system can improve the transparency of traceability to ensure that the supply chain system provides high-quality products and protects data privacy and security. The view is taken; therefore, in this work, we combined a method of real-time event detection using collected Twitter data and blockchain technology for event monitoring to improve the visibility of the supply chain system and take preemptive measures for risk avoidance. The experiments show some interesting results and potentials for future work in the field of the agile supply chain.

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Design of Supply Chain System Based on Blockchain Technology

Applied Sciences ◽

10.3390/app11209744 ◽

2021 ◽

Vol 11 (20) ◽

pp. 9744

Author(s):

Jing Li ◽

Yafei Song

Keyword(s):

Supply Chain ◽

Information Exchange ◽

Supply Chain System ◽

Chain System ◽

Blockchain Technology ◽

Basic Functions ◽

Security And Reliability ◽

Information Chain ◽

System Information ◽

The Stability

As the interaction between companies becomes more and more complex, the problems of asymmetric information, weak traceability, and low collaboration efficiency in the traditional centralized supply chain are becoming increasingly prominent. To solve these problems, this paper designs a supply chain system based on blockchain. With the help of trade chain and information chain platforms, an overall framework of the supply chain system is constructed. By formulating platform interaction rules, the system information exchange format is standardized to ensure the stability and efficiency of system interaction. Smart contracts are used to manage supply chain system transactions and information interactions to achieve efficient and convenient information sharing, ensuring the security and reliability of supply chain information. The comprehensive performance of the system is evaluated through experiments. Experimental results indicate that while the system realizes the basic functions of the supply chain, it can promote the sharing of information between participants and improve its efficiency.

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Intelligent Supply Chain Information System Based on Internet of Things Technology under Asymmetric Information

Symmetry ◽

10.3390/sym11050656 ◽

2019 ◽

Vol 11 (5) ◽

pp. 656

Author(s):

Yunshan Zhou ◽

Xiangjun Xu

Keyword(s):

Information System ◽

Supply Chain ◽

Asymmetric Information ◽

Internet Of Things ◽

Information Exchange ◽

Interference Signal ◽

Supply Chain System ◽

Maximum Information ◽

Chain System ◽

Internet Of Things Technology

The hardware and software designed in the traditional supply chain system lack cooperation in the transmission process, have low efficiency, and lead to a large amount of information distortion.In response to this problem, this paper proposes an intelligent supply chain information system based on the Internet of Things technology. The research focuses on the hardware and software of the system. The hardware part consists of the embedded processor CS89712, Flash7861 memory, Ethernet, touch screen, and LCD (Liquid Crystal Display). The software system is based on asymmetric information theory design and is divided into signal acquisition, input signal detection, interference signal processing, and power signal output. The experimental results show that it is compared with the traditional supply chain information system. The designed system seamlessly integrates the hardware and software components to achieve maximum information supply in the shortest amount of time. The power supply capacity is four times that of the traditional system, and the node coverage is high. When the number of data nodes is 120, the traditional supply chain system is basically unable to supply, but the supply accuracy of the intelligent supply chain is still as high as 48%. The research in this paper has certain guiding significance for intelligent technology development, supply chain system design, and enterprise information exchange.

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Negotiation Model in a Multi-Agent Supply Chain System for the Crisis Management

13th IFAC Symposium on Information Control Problems in Manufacturing ◽

10.3182/20090603-3-ru-2001.00169 ◽

2009 ◽

Author(s):

Zgaya, Hayfa

Keyword(s):

Supply Chain ◽

Crisis Management ◽

Supply Chain System ◽

Negotiation Model ◽

Chain System ◽

Multi Agent

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A Model of Waste Price in a Symbiotic Supply Chain Based on Stackelberg Algorithm

Sustainability ◽

10.3390/su13041740 ◽

2021 ◽

Vol 13 (4) ◽

pp. 1740

Author(s):

Cheng Che ◽

Xiaoguang Zhang ◽

Yi Chen ◽

Liangyan Zhao ◽

Zhihong Zhang

Keyword(s):

Sensitivity Analysis ◽

Supply Chain ◽

Comparative Analysis ◽

Power Structure ◽

Income Level ◽

Power Structures ◽

Optimal Price ◽

Supply Chain System ◽

Chain System ◽

Revenue Model

By establishing a two-level symbiotic supply chain system consisting of one supplier and one manufacturer, we use Stackelberg method to analyze the optimal price and revenue model of supplier and manufacturer in the symbiotic supply chain under two power structures in which the supplier and manufacturer are dominant respectively, and analyze the influence of the degree of symbiosis and power structure on the model. Through comparative analysis, we find that: There is a relationship between the income level and the degree of symbiosis in the symbiotic supply chain. The change of power structure will affect the relative benefits of suppliers and manufacturers in the symbiotic supply chain. The manufacturer’s expected unit product revenue will affect the supply chain revenue when the manufacturer is dominant. Finally, the sensitivity analysis of relevant parameters is carried out through an example analysis, and the validity of the conclusion is verified. This paper has a guiding significance for the behavior of enterprises in the cogeneration supply chain.

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