A Real-Time In-Memory Discovery Service - Leveraging Hierarchical Packaging Information in a Unique Identifier Network to Retrieve Track and Trace Information (Hardcover, 2013 ed.)

The research presented in this book discusses how to efficiently retrieve track and trace information for an item of interest that took a certain path through a complex network of manufacturers, wholesalers, retailers, and consumers. To this end, a super-ordinate system called "Discovery Service" is designed that has to handle large amounts of data, high insert-rates, and a high number of queries that are submitted to the discovery service. An example that is used throughout this book is the European pharmaceutical supply chain, which faces the challenge that more and more counterfeit medicinal products are being introduced. Between October and December 2008, more than 34 million fake drug pills were detected at customs control at the borders of the European Union. These fake drugs can put lives in danger as they were supposed to fight cancer, take effect as painkiller or antibiotics, among others. The concepts described in this book can be adopted for supply chain management use cases other than track and trace, such as recall, supply chain optimization, or supply chain analytics.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	In-Memory Data Management Research
Release date:	June 2013
First published:	2013
Authors:	Jurgen Muller
Dimensions:	235 x 155 x 12mm (L x W x T)
Format:	Hardcover
Pages:	168
Edition:	2013 ed.
ISBN-13:	978-3-642-37127-1
Categories:	Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Computing & IT > Computer communications & networking > General Books > Business & Economics > Business & management > Management of specific areas > Production & quality control management Books > Business & Economics > Business & management > Business mathematics & systems > General Promotions
LSN:	3-642-37127-2
Barcode:	9783642371271

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