Improving Traceability in Food Processing and Distribution describes key components of traceability systems and how food manufacturers can manage them effectively.

Part 1 of the book reviews the role of traceability systems not only in ensuring food safety but in optimizing business performance.

Part 2 looks at ways of building traceability systems.

Part 3 reviews key traceability technologies such as DNA markers, electronic tagging of farm animals, ways of storing and transmitting traceability data, and the range of data carrier technologies.

Contents

Part 1: Traceability, Safety and Quality

Developing traceability systems across the food supply chain: an overview

• Accommodating multi-functional traceability requirements
• Item-specific data capture
• The EAN.UCC coding system
• Data carrier technologies
• Linking item-attendant data and database information
• The FOODTRACE project

Using traceability systems to optimise business performance

• he FoodPrint approach
• Key concepts in traceability
• Traceability in food chains
• Factors affecting traceability systems
• The FoodPrint model for developing traceability systems
• Phases in the development of a traceability system
• Case studies

Optimising supply chains using traceability systems

• The benefits of quality-oriented tracking and tracing systems
• Demand and supply chain management
• Product loss and out-of-stock levels
• Causes of product loss and out-of-stock
• Measures to control product loss and out-of-stock

Part 2: Building Traceability Systems

Modelling food supply chains for tracking and traceability

• Developing a process model
• Creating a tracking and tracing model
• Process and product issues in modelling

Dealing with bottlenecks in traceability systems

• Case-study: forest fruit quark
• The process of identifying bottlenecks in traceability systems
• Four types of bottleneck
• Analysing and resolving bottlenecks

Including process information in traceability

• Benefits for the industry and the consumer
• Using process information to improve quality
• Methods for collecting and storing information
• Statistical methods for data analysis

Traceability of analytical measurements

• The role of analytical measurements in evaluating product quality
• Problems in tracing and comparing analytical measurements
• Improving comparability of analytical measurements

Part 3: Traceability Technologies

DNA markers for animal and plant traceability

• The role of DNA markers in traceability systems
• DNA variation at the species and subspecies level
• Traceability below the species level

Electronic identification and traceability of farm animals

• Problems in tagging and traceability of cattle using electronic identification (EID)
• The technical basis for animal identification by radio frequency (RFID)
• EID equipment for animal identification on farms and at slaughterhouses
• Using DNA profiling in the electronic identification of animals
• Data management

Storing and transmitting traceability data across the food supply chain

• Product identification data carrier technology
• Condition and quality measuring data carrier technology
• Data collection and processing
• Practical applications of data carrier technology

The range of data carrier technologies for food traceability

• Linear barcode systems and EAN.UCC adopted symbologies
• EAN.UCC numbering system
• Two-dimensional coding
• Chip-based data carrier technologies and radio frequency identification
• The electronic product code (EPC) system

Index

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