Description
The global demand and trade for fruits and vegetables is increasing at national and international levels. The fresh fruits and vegetables supply chain are highly vulnerable to contamination and can be easily spoiled due to their perishable nature. Due to increases in fresh fruit and vegetable trade shipment volume between countries, the fresh food supply chain area is the highly susceptible and frequently prone to food contamination. The inability of firms in the fresh food business to have a good supply chain visibility and tracking system is one of the prominent reasons for food safety failure. Therefore, in order to avoid food safety risk and to supply safe food to consumers, the firms need to have an efficient traceability system in their supply chain. Most of the research in the food supply chain area suggests the implementation of a highly efficient tracking system called RFID (Radio frequency identification) technology to firms in the food industry. The medium scale firms in the fresh food supply chain business are skeptical about implementing the RFID technology equipped traceability system due to its high cost of investment and low margins on fresh food sales. This research developed two methods to measure the probability of food safety risk in food supply chain. These methods use the information gain from RFID traceability systems as a tool to measure the amount of risk in the fresh food supply chain. The stochastic optimization model is applied in this study to determine the risk premium by investing in RFID technology over the electronic barcode traceability system. The results show that there is a reduction in buyer (Type II error) and seller risk (Type I error) for RFID technology employed traceability system compared to electronic barcode system. It is found from stochastic optimization results that there is a positive risk premium by investing in RFID traceability system over the current systems and suggests the implementation of RFID traceability system for complex medium scale fresh produce imports to reduce the food safety risks. This research encourages the food industries and government agencies to evaluate alternatives to update supply chain system with RFID technology.
Details
Title
- Economic analysis of implementing electronic traceability system for fresh produce importers
Contributors
- Janke, Deepak Kumar (Author)
- Nganje, William (Thesis advisor)
- Schmitz, Troy (Committee member)
- Thor, Eric (Committee member)
- Arizona State University (Publisher)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2011
Subjects
- Agriculture
- Agriculture economics
- Economic Analysis
- Food industry and trade--Economic aspects--Mathematical models.
- Food industry and trade
- Food industry and trade--Safety measures--Mathematical models.
- Food industry and trade
- Food supply--Economic aspects--Mathematical models.
- Food supply
- Food supply--Safety measures--Mathematical models.
- Food supply
- Farm produce--Economic aspects--Mathematical models.
- Farm produce
- Farm produce--Safety measures--Mathematical models.
- Farm produce
- Food--Quality--Economic aspects--Mathematical models.
- Food
Resource Type
Collections this item is in
Note
- Vita
- thesisPartial requirement for: M.S., Arizona State University, 2011
- bibliographyIncludes bibliographical references (p. 75-78)
- Field of study: Agribusiness
Citation and reuse
Statement of Responsibility
by Deepak Kumar Janke