Fr. 69.00

A Real-Time In-Memory Discovery Service - Leveraging Hierarchical Packaging Information in a Unique Identifier Network to Retrieve Track and Trace Information

English · Hardback

Shipping usually within 2 to 3 weeks (title will be printed to order)

Description

Read more

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.

List of contents

Introduction and Motivation.- Underlying Technologies and Related Works.- A Hierarchical-Packaging-aware Discovery Service.- A Recursive Search Algorithm.- A Filter Algorithm to Extract the Relevant Read Events.- System Design and Implementation Considerations.- Evaluation.- Conclusion and Future Work.

About the author

Jürgen Müller studied business-oriented computer science in Göttingen, Germany. During his studies, he learned Mandarin and spent half a year at Tongji University in Shanghai, China. In 2007 he joined the research group of Professor Hasso Plattner at the Hasso Plattner Institute in Potsdam, Germany. Since 2007, he is as well collaborating with SAP AG in the area of strategic projects. He serves as Senior Researcher and Chair Representative at the research chair of Professor Hasso Plattner. In addition to that, he is Executive Director of the MIT Forum for Supply Chain Innovation.

Summary

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.

Product details

Authors Jürgen Müller
Publisher Springer, Berlin
 
Languages English
Product format Hardback
Released 30.06.2013
 
EAN 9783642371271
ISBN 978-3-642-37127-1
No. of pages 168
Dimensions 163 mm x 241 mm x 16 mm
Weight 436 g
Illustrations XXIV, 168 p.
Series In-Memory Data Management Research
In-Memory Data Management Research
Subject Social sciences, law, business > Business > General, dictionaries

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.