Dairy Supply Chain System Based on Blockchain Technology

Author(s):  
Shuvam Shingh ◽  
V. Kamalvanshi ◽  
Sarthak Ghimire ◽  
Sudarshan Basyal

With the increase in the complexity of the dairy supply chain system, consumers know very less about the products produced or processed by producer or processor. Such information asymmetry present in the dairy industry has serious concern over human health, environmental sustainability, and welfare issues. In this context, we require the effective dairy supply chain system that not only fulfils the information requirement of the consumers but also increase the trust of the consumer on the dairy product they are consuming. The paper tries to present the application of Blockchain technology in the dairy sector. It focuses on the application of the Blockchain technology on improving the dairy supply chain system. This paper presents how this technology can be used in the dairy supply chain system and outlines the potential benefit of it to the different stakeholders and the whole dairy industry as a whole. This is a review article based on the secondary data and information that are obtained from various published articles.

2021 ◽  
Vol 11 (11) ◽  
pp. 4811
Author(s):  
Chung-Hong Lee ◽  
Hsin-Chang Yang ◽  
Yu-Chen Wei ◽  
Wen-Kai Hsu

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.


2020 ◽  
Vol 4 (2) ◽  
pp. 132
Author(s):  
Shaniar Tahir Mohammed ◽  
Jamal Ali Hussien

Electronic supply chain (ESC) is a network among the parties of a supply chain system, such as manufacturers, suppliers, and retailers. It recodes all the processes involved in the distribution of specific products until transported to final customers. Blockchain (BC) technology is a decentralized network that records all the transactions in real-time and is used in many areas such as cryptocurrency. In this paper, we work on an ESC system that records all the transactions based on BC technology using a drug supply chain system as a case study. The recording of the transactions consists of three main stages. First, all the parties of the ESC system are represented in the BC network as clients with unique identities. Second, all the information related to a specific drug is recorded inside the transaction and each transaction has its own signature. Finally, all the transactions of the drug from the manufacture to the patient are recorded inside a block with a unique identity for each block. These steps inside the BC are performed based on security cryptography mechanisms, such as rivest-shamir-adleman (RSA) and secure hash algorithm SHA. The results illustrate that the proposed approach protects the drugs from counterfeiting, ensures the reliability, and provides a real-time tracking system for the transactions that have occurred among ESC parties.


2021 ◽  
Vol 11 (20) ◽  
pp. 9744
Author(s):  
Jing Li ◽  
Yafei Song

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.


2013 ◽  
Vol 23 (03) ◽  
pp. 1350038 ◽  
Author(s):  
GUANHUI WANG ◽  
JUNHAI MA

Supply chain system is a complex system in which node enterprises play important roles and exert great influence. This paper proposes an output game model among multiple oligopolistic manufacturers under the circumstances of information asymmetry and analyzes the Nash equilibrium in the model. The manufacturers usually base their production decision making on the volume of order from distributors and the production decisions made by other manufacturers. They also suitably adjust the output. If the adjustment speed accelerates, chaos will be caused in the manufacturers' production decision. This paper analyzes the proposed model from a perspective of complex dynamics and discusses the impact of system parameter on the complexity of this discrete chaotic system. The measures to retain chaos among manufacturers are suggested.


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