scholarly journals Design of Supply Chain System Based on Blockchain Technology

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.

scholarly journals Dynamic Complexities in a Supply Chain System with Lateral Transshipments

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Yongchang Wei ◽  
Fangyu Chen ◽  
Feng Xiong
Keyword(s):  
Supply Chain ◽  
Customer Service ◽  
State Space Model ◽  
Bullwhip Effect ◽  
Performance Measurements ◽  
Supply Chain System ◽  
Chain System ◽  
Customer Service Level ◽  
Lateral Transshipment ◽  
The Stability

The horizontal interaction between retailers, coupled with replenishment rules and time delays, makes the dynamics in supply chain systems highly complicated. This paper aims to explore the impacts of lateral transshipments on the stability, bullwhip effect, and other performance measurements in the context of a two-tiered supply chain system composed of one supplier and two retailers. In particular, we developed a unified discrete-time state space model to address two different scenarios of placing orders. Analytical stability results are derived, through which we found that inappropriate lateral transshipment policies readily destabilize the supply chain system. Moreover, the lead time of lateral transshipments further complicates the stability problem. Theoretical results are validated through simulation experiments and the influences of system parameters on performance measures are investigated numerically. Numerical simulations show that lateral transshipments help improve the customer service level for both retailers. It is also interesting to observe that the demand of the two retailers can be satisfied even if only one retailer places orders from the upstream supplier.

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

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.

Dairy Supply Chain System Based on Blockchain Technology

2020 ◽  
pp. 13-19
Author(s):  
Shuvam Shingh ◽  
V. Kamalvanshi ◽  
Sarthak Ghimire ◽  
Sudarshan Basyal
Keyword(s):  
Supply Chain ◽  
Information Asymmetry ◽  
Environmental Sustainability ◽  
Dairy Product ◽  
Dairy Industry ◽  
Secondary Data ◽  
Review Article ◽  
Supply Chain System ◽  
Chain System ◽  
Blockchain Technology

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.

scholarly journals A Traceable and Reliable Electronic Supply Chain System Based on Blockchain Technology

2020 ◽  
Vol 4 (2) ◽  
pp. 132
Author(s):  
Shaniar Tahir Mohammed ◽  
Jamal Ali Hussien
Keyword(s):  
Supply Chain ◽  
Real Time ◽  
Tracking System ◽  
Supply Chain System ◽  
Chain System ◽  
Blockchain Technology ◽  
Hash Algorithm ◽  
Unique Identity ◽  
Secure Hash Algorithm ◽  
Drug Supply Chain

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.

scholarly journals The Stability and Complexity Analysis of a Low-Carbon Supply Chain Considering Fairness Concern Behavior and Sales Service

2019 ◽  
Vol 16 (15) ◽  
pp. 2711 ◽  
Author(s):  
Qiuxiang Li ◽  
Xingli Chen ◽  
Yimin Huang
Keyword(s):  
Supply Chain ◽  
Stable State ◽  
Stable Range ◽  
Direct Channel ◽  
Low Carbon ◽  
Supply Chain System ◽  
Chain System ◽  
Dual Channel ◽  
The Stability ◽  
Fairness Concern

This paper studies a low-carbon dual-channel supply chain in which a manufacturer sells products through the direct channel and traditional channel, and a retailer sells products through the traditional channel. The manufacturer considers carbon emission reduction and has fairness concern behavior. The retailer provides sales service in the traditional channel and considers fairness concern behavior. The objective of this paper is to analyze the effects of different parameter values on the price stability and utility of the supply chain system emphatically using 2D bifurcation diagram, parameter plot basin, the basins of attraction, chaos attractor and sensitivity to the initial value, etc. The results find that the retailer’s fairness concern behavior shrinks the stability of the supply chain system more than that of the manufacturer’s fairness concern behavior. The system stability region decreases with the increase of carbon emission reduction level and the retailer’s fairness concern. The customers’ preference for the direct channel decreases the stable range of the direct channel, while it enlarges the stable range of the traditional channel. The supply chain system enters into chaos through flip bifurcation with the increase of price adjustment speed. In a stable state, the manufacture improving customer’s preference for the direct channel and the retailer choosing the appropriate fairness concern level can achieve the maximum utility separately. In a chaotic state, the average utilities of the manufacturer and retailer all decline, while that of the retailer declines even more. By selecting appropriate control parameter, the low-carbon dual-channel supply chain system can return to a stable state from chaos again. The research of this paper is of great significance to price decisions of participants and supply chain operation management.

scholarly journals The Entropy Complexity of an Asymmetric Dual-Channel Supply Chain with Probabilistic Selling

Entropy ◽  
2018 ◽  
Vol 20 (7) ◽  
pp. 543 ◽  
Author(s):  
Yimin Huang ◽  
Qiuxiang Li
Keyword(s):  
Supply Chain ◽  
Stable State ◽  
Channel Structure ◽  
Flip Bifurcation ◽  
Supply Chain System ◽  
Chain System ◽  
Dual Channel ◽  
Decision Variables ◽  
The Stability ◽  
Dual Channel Supply Chain

Considering consumers’ attitudes to risks for probabilistic products and probabilistic selling, this paper develops a dynamic Stackelberg game model of the supply chain considering the asymmetric dual-channel structure. Based on entropy theory and dynamic theory, we analyze and simulate the influences of decision variables and parameters on the stability and entropy of asymmetric dual-channel supply chain systems using bifurcation, entropy diagram, the parameter plot basin, attractor, etc. The results show that decision variables and parameters have great impacts on the stability of asymmetric dual-channel supply chains; the supply chain system will enter chaos through flip bifurcation or Neimark–Sacker bifurcation with the increase of the system entropy, and thus the system is more complex and falls into a chaotic state, with its entropy increased. The stability of the system can become robust with the increase of the probability that product a becomes a probabilistic product, and it weakens with the increase of the risk preference of customers for probabilistic products and the relative bargaining power of the retailer. A manufacturer using the direct selling channel may obtain greater profit than one using traditional selling channels. Using the method of parameter adjustment and feedback control, the entropy of the supply chain system will decline, and the supply chain system will fall into a stable state. Therefore, in the actual market of probabilistic selling, the manufacturers and retailers should pay attention to the parameters and adjustment speed of prices and ensure the stability of the game process and the orderliness of the dual-channel supply chain.

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