scholarly journals Food Supply Chain Management and Food Safety: South & East-Asia Scenario

2008 ◽  
Vol 17 (4) ◽  
pp. 131-136 ◽  
Author(s):  
Athapol Noomhorm ◽  
Imran Ahmad
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Food Safety ◽  
East Asia ◽  
Food Supply ◽  
South East Asia ◽  
Food Supply Chain ◽  
Chain Management

Food Supply Chain Traceability by Using Blockchain Technology

2020 ◽  
Vol 17 (6) ◽  
pp. 2630-2636
Author(s):  
Anupam Sharma ◽  
Deepika Jhamb ◽  
Amit Mittal
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Food Safety ◽  
Food Supply ◽  
New Technology ◽  
Food Supply Chain ◽  
Chain Management ◽  
Blockchain Technology ◽  
Long Run ◽  
Agriculture Industry

In the digitized world, everything and products are being designed and used with the help of advanced technologies. The Agriculture industry is not an exception; Walmart has started tackling food safety by using blockchain technology in the supply chain. As agriculture is one of the most influential sectors for the world economy and has also a great impact on the livelihood of the people. As the agriculture industry is growing globally, it is difficult to keep an eye on the information of the whole food supply chain management. So be able to increase the transparency, food safety and customer satisfaction digitalization of food is the need of the hour. In context to Indian economy very little research has been done in the area of addressing farmer’s problem by using blockchain technology. This research will help in addressing the major issues of traceability, transparency and quality and trust in food supply chain management and the hybridisation of agriculture field by using blockchain technology. This new technology has led to new products and new methods to organise the supply chain in an efficient way and analyze the blockchain framework for the traceability of products. This study aims to find out the challenges and issues faced by the farmers in the food supply chain and to propose the relevant efficient and transparent solutions that will benefit farmers as well as customers in the long run.

scholarly journals An Efficient Bayes Classifiers Algorithm for Traceability of Food Supply Chain Management using Internet of Things

2019 ◽  
Vol 9 (1) ◽  
pp. 2995-3005
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Food Safety ◽  
Internet Of Things ◽  
Food Supply ◽  
Food Industry ◽  
Insufficient Information ◽  
Food Supply Chain ◽  
Chain Management

The conventional Food Supply Chain Management (FSCM) faces a variety of provocation such as ambiguity, security, cost, complication and quality concerns. To resolve these issues, supply chain must be precise. A challenging assignment in today’s food industry is distributing the high quality of foods throughout the supply chain management. In this paper, proposes an efficient Bayes Classifiers Algorithm which integrated with FSCM using Internet of Things (IoT) to allow tracking, tracing and managing the entire process of food supply chain such as supplier, exporter and customers. The objective of this paper is to determine the food safety and to optimize chronological data produced to analyze the effective possibility of future assump- tions. It also aims to foods carrying from the manufacturers to the customers with help of IoT technologies to bond the producer to the customer with delivery of high class of food products. IoT based Food Supply Chain Traceability is utilized t o data transaction effectively with indeterminate, uncertain and insufficient information. So the proposed efficient Bayes Classifiers Algorithm will be capable to overcome all provocation of conventional supply chain and afford secure background and food safety for FSCM process using IoT technology.

Impact of modern Retail over Food Supply Chain Management

2012 ◽  
Vol 3 (1) ◽  
pp. 45-47
Author(s):  
N.Arunfred N.Arunfred ◽  
◽  
Dr.D.Kinslin Dr.D.Kinslin
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Food Supply ◽  
Food Supply Chain ◽  
Chain Management

scholarly journals Two-Stage Production System Pondering upon Corporate Social Responsibility in Food Supply Chain: A Case Study

2021 ◽  
Vol 11 (3) ◽  
pp. 1088
Author(s):  
Ten-Suz Chen ◽  
Yung-Fu Huang ◽  
Ming-Wei Weng ◽  
Manh-Hoang Do
Keyword(s):  
Corporate Social Responsibility ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Social Responsibility ◽  
Food Supply ◽  
Production System ◽  
Food Supply Chain ◽  
Two Stage ◽  
Chain Management ◽  
Corporate Social

Corporate social responsibility (CSR) has witnessed remarkable attention in academic studies as well as being widely conducted in different industries globally. This specific case was chosen as one of the biggest dairy companies that may be represented for Vietnam dairy supply chain management. This research aims to integrate CSR initiatives into food supply chain management to clarify the optimal replenishment policy, paying close attention to the relationship between midstream manufacturers and final customers. The classical economic production quantity model has been employed, relying on the two-stage assembly production system. The three parameters that contribute to the total profit formulation that have been considered consist of the social charity amount for per unit selling, the unit wholesale price of the manufacturer, and the return rate of used goods from the customer. The study has stressed that there is a significant impact from implementing CSR initiatives on the enterprise’s inventory policy that leads to enhance the firm’s financial performance.

A reliable decision support system for fresh food supply chain management

2017 ◽  
Vol 56 (4) ◽  
pp. 1458-1485 ◽  
Author(s):  
Gabriella Dellino ◽  
Teresa Laudadio ◽  
Renato Mari ◽  
Nicola Mastronardi ◽  
Carlo Meloni
Keyword(s):  
Supply Chain ◽  
Decision Support ◽  
Supply Chain Management ◽  
Decision Support System ◽  
Support System ◽  
Food Supply ◽  
Food Supply Chain ◽  
Chain Management ◽  
Fresh Food

scholarly journals A Knowledge Network and Mobilisation Framework for Lean Supply Chain Decisions in Agri-Food Industry

2017 ◽  
Vol 9 (4) ◽  
pp. 37-48 ◽  
Author(s):  
Huilan Chen ◽  
Shaofeng Liu ◽  
Festus Oderanti
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Food Supply ◽  
Current Knowledge ◽  
Knowledge Networks ◽  
Knowledge Network ◽  
Food Supply Chain ◽  
Topic Area ◽  
Chain Management ◽  
Lean Supply Chain

Making the right decisions for food supply chain is extremely important towards achieving sustainability in agricultural businesses. This paper explores that knowledge sharing to support food supply chain decisions to achieve lean performance (i.e. to reduce/eliminate non-value-adding activities, or “waste” in lean term). The focus of the paper is on defining new knowledge networks and mobilisation approaches to address the network and community nature of current supply chains. Based on critical analysis of the state-of-the-art in the topic area, a knowledge network and mobilisation framework for lean supply chain management has been developed. The framework has then been evaluated using a case study from the food supply chain. Analytic Hierarchy Process (AHP) has been used to incorporate expert's view on the defined knowledge networks and mobilisation approaches with respect to their contribution to achieving various lean performance objectives. The results from the work have a number of implications for current knowledge management and supply chain management in theory and in practice.

Sign in / Sign up

Export Citation Format

Share Document