Design of Supply-chain Pedigree Interactive Dynamic Explore (SPIDER) for food safety and implementation of Hazard Analysis and Critical Control Points (HACCPs)

Authors:
Lixing Wang;Jacky S. L. Ting;W. H. Ip
Affiliations:
Dept. of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong;Dept. of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong;Dept. of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong
Venue:
Computers and Electronics in Agriculture
Year:
2013

Citing 7
Cited 1

Case-based reasoning: foundational issues, methodological variations, and system approaches

AI Communications
Who Joins the Platform? The Case of the RFID Business Ecosystem

HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences - Volume 08
RFID Sourcebook

RFID Sourcebook
Decision support methodology using rule-based reasoning coupled to non-parametric measurement for industrial wastewater network management

Environmental Modelling & Software
Spatial temperature profiling by semi-passive RFID loggers for perishable food transportation

Computers and Electronics in Agriculture
An active product state tracking architecture in logistics sensor networks

Computers in Industry
Design and development of a mobile EPC-RFID-based self-validation system (MESS) for product authentication

Computers in Industry

Supply chain product visibility: Methods, systems and impacts

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

Food safety has attracted considerable public concern and press attention in recent years. Hazard Analysis and Critical Control Points (HACCPs) is a systematic approach to food product safety as a means of prevention rather than finished product inspection. It has been internationally recognized and accepted as the system for effective food safety management. In this study, a system called Supply-chain Pedigree Interactive Dynamic Explore (SPIDER) is proposed as a platform for the public and governments to explore the information in each part of the food chain and provide easy implementation of HACCP into the food industry. SPIDER is a secure and global platform to verify, inspect and investigate food effectively and efficiently. In this system, some artificial intelligent techniques, Case-based Reasoning, Rule-based Reasoning, Fuzzy logical and Neural Network are used for automatic updating, to analyze data and to manage data. Finally, a simulated case is also studied to show the operation and the results of the system.