Inference of Reference-Data Models for Tracking and Tracing (Paperback)


Advanced information systems for the enterprise and the supply chain can help to ensure the integrity and the safety of food products. Problems caused by poor design and bad communication of information systems, must be avoided both on the level of the enterprise and the supply chain. Reference-data modelling is a method that supports the development, standardisation and integration of information systems in enterprises and supply chains. In this book, the advantages of the method reference-data modelling and specific designs of tracking and tracing, are presented. The publication consists of conducted scientific research into the way in which Information and Communication Technology (ICT) can positively contribute to the improvement of food safety. The book can assist in improving the control over the food production chain in general, and over food anomalies in particular.

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Product Description

Advanced information systems for the enterprise and the supply chain can help to ensure the integrity and the safety of food products. Problems caused by poor design and bad communication of information systems, must be avoided both on the level of the enterprise and the supply chain. Reference-data modelling is a method that supports the development, standardisation and integration of information systems in enterprises and supply chains. In this book, the advantages of the method reference-data modelling and specific designs of tracking and tracing, are presented. The publication consists of conducted scientific research into the way in which Information and Communication Technology (ICT) can positively contribute to the improvement of food safety. The book can assist in improving the control over the food production chain in general, and over food anomalies in particular.

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Product Details

General

Imprint

Lap Lambert Academic Publishing

Country of origin

Germany

Release date

June 2010

Availability

Expected to ship within 10 - 15 working days

First published

June 2010

Authors

Dimensions

229 x 152 x 13mm (L x W x T)

Format

Paperback - Trade

Pages

228

ISBN-13

978-3-8383-6511-4

Barcode

9783838365114

Categories

LSN

3-8383-6511-9



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