scholarly journals Blockchain-Based Traceability for Anti-Counterfeit in Cross-Border E-Commerce Transactions

2021 ◽  
Vol 13 (19) ◽  
pp. 11057
Author(s):  
Heongu Lee ◽  
Changhak Yeon
Keyword(s):  
Supply Chain ◽  
Environmental Sustainability ◽  
Product Information ◽  
Supply And Demand ◽  
Economic Losses ◽  
Information Uncertainty ◽  
Mobile Platforms ◽  
Counterfeit Goods ◽  
Traceability System ◽  
Cross Border

Cross-border e-commerce, involving international product transactions via online and mobile platforms, is growing at a dramatic rate around the globe. One of the main concerns of brand firms is preventing counterfeit products from being sold under their names on e-commerce platforms. Counterfeit goods not only create economic losses to both the supply and demand sides, but also undermine efforts to improve sustainability. Proliferating counterfeits harm the brands of supply firms and trust in selling e-commerce platforms. In addition, they discourage participants in the supply chain from investing in social and environmental sustainability. If end-customers have access to detailed and comprehensive product information with a traceability system that can help overcome information uncertainty and asymmetry, losses can be prevented. The result of the pilot test has shown that securely shared in-depth product information among supply chain stakeholders from the supply side to end-customers can help prevent counterfeit goods from proliferating further by enabling consumers to determine the authenticity of products and report forgeries before paying.

scholarly journals Research on the Information Tracing Model for Cross-border E-commerce Products based on Blockchain

2021 ◽  
Vol 235 ◽  
pp. 03018
Author(s):  
Zheng Hua ◽  
Keran Be ◽  
Qinwen Shi
Keyword(s):  
Supply Chain ◽  
Information Asymmetry ◽  
Product Information ◽  
Asymmetry Information ◽  
Cross Border ◽  
Smart Contract ◽  
Regulatory Cost ◽  
Fast Development ◽  
Effective Role ◽  
Information Tracing

Information asymmetry, information island, high regulatory cost, etc., emerge from the fast development of cross-border e-commerce in China, for which the blockchain, with its capabilities in information sharing, information traceability, smart contract, and so on, can play an effective role in product information tracing. Based on blockchain, this paper builds the product information tracing model using information chains of two different degrees of openness. The model includes the three major bodies of cross-border e-commerce—the supply chain alliance, the consumers and the regulatory departments, so as to produce information tracing, ensure information authenticity and integrity, and be applicable to all kinds of e-commerce platforms.

scholarly journals Adoption of internet of things among Malaysian halal agro-food SMEs and its challenges

Food Research ◽  
2020 ◽  
Vol 4 (S1) ◽  
pp. 256-265
Author(s):  
H. Ahmad Tarmizi ◽  
N.H. Kamarulzaman ◽  
A. Abd Rahman ◽  
R. Atan
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Food Industry ◽  
New Technologies ◽  
Product Information ◽  
Small And Medium Enterprises ◽  
Pearson Correlation ◽  
Descriptive Analysis ◽  
Traceability System ◽  
Halal Food

Safeguarding the high quality of halal food products is a new realm to explore with the advent of new technologies. The efficiency of food industry management has boosted the applicability of product traceability system with the aid of the internet of things (IoT). Traceability system with the use of IoT has facilitated food industry players in managing their product information along the supply chain. As one of the halal food industry key players, halal agro-food small and medium enterprises (SMEs) are reportedly yet to embrace the adoption of IoT. With IoT, halal agro-food SMEs supply chain has undoubtedly provided a trusted platform. However, halal related issues and scandals in the market are recurring persistently. Besides, the emergence of IoT in the agriculture sector requires active involvement by halal agro-food SMEs. Thus, the objective of this study was to investigate the adoption of IoT among Malaysian halal agro-food SMEs and its challenges. A self-administered questionnaire was employed to gather data from selected 158 halal agro-food SMEs. Descriptive analysis, mean score analysis, and Pearson correlation analysis were carried out to analyze the data. The results showed a lack of IoT adoption among halal agro-food SMEs in managing their business activities. The SMEs were also found to be low tech-savvy users of IoT in managing their halal products. Therefore, a vast improvement is needed in implementing IoT among Malaysian halal agro-food SMEs.

scholarly journals Monitoring of beef cold chain to ensure quality, safety, and halal using RFID: A review

2021 ◽  
Vol 924 (1) ◽  
pp. 012001
Author(s):  
B E Syahputri ◽  
S Sucipto
Keyword(s):  
Supply Chain ◽  
Radio Frequency Identification ◽  
Product Information ◽  
Meat Products ◽  
Cold Chain ◽  
Rfid Technology ◽  
Beef Quality ◽  
Traceability System ◽  
Unpleasant Odor ◽  
Frequency Identification

Abstract The traceability application by the industry to ensure products along the supply chain include quality, safe and halal. Traceability is an essential part of the cold chain system for meat and meat products. The cold chain of beef, including a slaughterhouse, distribution, and retail, needs to be monitored. The decline in the beef quality is marked by sensory changes such as color, unpleasant odor, and mucus formation triggered by bacterial growth. Beef quality is easily damaged during distribution due to the complexity and length of the cold chain. Consumers also pay attention to the halalness of beef in the supply chain. The implementation of Radio Frequency Identification (RFID) can monitor changes in quality and halalness of beef when distribution utilizes various sensor and product information tags. RFID requires a transponder to store and retrieve data remotely, an antenna for transponders, and a reader. This article reviews the RFID traceability system, the cold supply chain for beef, and RFID development to maintain beef quality, safety, and halalness. RFID technology helps producers and consumers to get quality, safe, and halal beef information in real-time.

High world sugar prices: is Asia’s production cycle to blame?

2010 ◽  
pp. 169-173
Author(s):  
Martin Todd
Keyword(s):  
Supply Chain ◽  
Supply And Demand ◽  
Production Cycle ◽  
Low Levels ◽  
High Level ◽  
High World

The current high world sugar prices reflect a major imbalance between global supply and demand, which has reduced stocks to very low levels. Although it remains to be seen whether prices will rise much above current values, it is clear that the supply chain will remain stretched throughout 2010 and this will help to maintain prices at a high level.

scholarly journals A Multi-Echelon Network Design in a Dual-Channel Reverse Supply Chain Considering Consumer Preference

2021 ◽  
Vol 18 (9) ◽  
pp. 4760
Author(s):  
Peng Li ◽  
Di Wu
Keyword(s):  
Supply Chain ◽  
Network Design ◽  
Environmental Sustainability ◽  
Rapid Development ◽  
Consumer Preference ◽  
Service Level ◽  
Mixed Integer ◽  
Reverse Supply Chain ◽  
Related Factors ◽  
Dual Channel

The rapid development of e-commerce technologies has encouraged collection centers to adopt online recycling channels in addition to their existing traditional (offline) recycling channels, such the idea of coexisting traditional and online recycling channels evolved a new concept of a dual-channel reverse supply chain (DRSC). The adoption of DRSC will make the system lose stability and fall into the trap of complexity. Further the consumer-related factors, such as consumer preference, service level, have also severely affected the system efficiency of DRSC. Therefore, it is necessary to help DRSCs to design their networks for maintaining competitiveness and profitability. This paper focuses on the issues of quantitative modelling for the network design of a general multi-echelon, dual-objective DRSC system. By incorporating consumer preference for the online recycling channel into the system, we investigate a mixed integer linear programming (MILP) model to design the DRSC network with uncertainty and the model is solved using the ε-constraint method to derive optimal Pareto solutions. Numerical results show that there exist positive correlations between consumer preference and total collective quantity, online recycling price and the system profits. The proposed model and solution method could assist recyclers in pricing and service decisions to achieve a balance solution for economic and environmental sustainability.

Traceability system using IoT and forecasting model for food supply chain

2020 ◽  
Author(s):  
Ganjar Alfian ◽  
Muhammad Syafrudin ◽  
Norma Latif Fitriyani ◽  
Jongtae Rhee ◽  
Muhammad Rifqi Ma'arif ◽  
...  
Keyword(s):  
Supply Chain ◽  
Food Supply ◽  
Forecasting Model ◽  
Food Supply Chain ◽  
Traceability System

scholarly journals The Implementation of CSA Model in Aquaculture Management in Poland

2021 ◽  
Vol 13 (3) ◽  
pp. 1242
Author(s):  
Magdalena Raftowicz ◽  
Magdalena Kalisiak-Mędelska ◽  
Mirosław Struś
Keyword(s):  
Supply Chain ◽  
Supply And Demand ◽  
Profit Maximization ◽  
Source Material ◽  
Agricultural Products ◽  
Alternative Form ◽  
Community Supported Agriculture ◽  
Direct Sales ◽  
Key Stakeholders ◽  
Aquaculture Management

Community Supported Agriculture (CSA) is an alternative form of distributing agricultural products, including fish, consistent with the model of food supply chain shortening. It extends beyond the traditional model of profit maximization and aims at strengthening local interactions with food consumers. The purpose of this article is to assess the feasibility of implementing the CSA model in the Polish carp market, representing the dominant aquaculture product. The research focused on the potential identified on the supply and demand sides of the carp market. The source material was collected through a pilot two-track empirical study conducted in 2019 in the Barycz Valley, where the largest complex of carp breeding ponds is located in Poland, and in Europe. We propose that the following CSA model of direct sales can become a source of specific benefits in the economic, social, and environmental dimensions for the key stakeholders of the supply chain, (i.e., carp producers and consumers). The research results show that in the case of carp production in Poland, CSA may turn out a desirable support for the sale of fish in the future; however, the existing conditions are not yet fully favourable for its development.

scholarly journals Mathematical model of the feedback between global supply chain disruption and COVID-19 dynamics

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xingyu Li ◽  
Amin Ghadami ◽  
John M. Drake ◽  
Pejman Rohani ◽  
Bogdan I. Epureanu
Keyword(s):  
Mathematical Model ◽  
Supply Chain ◽  
Care Delivery ◽  
Global Supply Chain ◽  
Economic Losses ◽  
Chain Model ◽  
Supply Chain Disruption ◽  
Disease Networks ◽  
Resource Allocation Strategy ◽  
The Impact

AbstractThe pandemic of COVID-19 has become one of the greatest threats to human health, causing severe disruptions in the global supply chain, and compromising health care delivery worldwide. Although government authorities sought to contain the spread of SARS-CoV-2, by restricting travel and in-person activities, failure to deploy time-sensitive strategies in ramping-up of critical resource production exacerbated the outbreak. Here, we developed a mathematical model to analyze the effects of the interaction between supply chain disruption and infectious disease dynamics using coupled production and disease networks built on global data. Analysis of the supply chain model suggests that time-sensitive containment strategies could be created to balance objectives in pandemic control and economic losses, leading to a spatiotemporal separation of infection peaks that alleviates the societal impact of the disease. A lean resource allocation strategy can reduce the impact of supply chain shortages from 11.91 to 1.11% in North America. Our model highlights the importance of cross-sectoral coordination and region-wise collaboration to optimally contain a pandemic and provides a framework that could advance the containment and model-based decision making for future pandemics.

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