Inference of reference-data models for tracking and tracing | Improving development, standardisation and integration of information systems

Cornelis Adrianus van Dorp

ISBN 10: 3838365119 / ISBN 13: 9783838365114

Published by LAP LAMBERT Academic Publishing, 2010

About this Item

Inference of reference-data models for tracking and tracing | Improving development, standardisation and integration of information systems | Cornelis Adrianus van Dorp | Taschenbuch | 228 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838365114 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 101072360

Bibliographic Details

• Title: Inference of reference-data models for tracking and tracing | Improving development, standardisation and integration of information systems
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2010
• Language: English
• ISBN 10: 3838365119
• ISBN 13: 9783838365114
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 15D millimeters 220 millimeters width by 150 millimeters height by 15 millimeters depth
• Weight: 358 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.