A Real-Time In-Memory Discovery Service: Leveraging Hierarchical Packaging Information in a Unique Identifier Network to Retrieve Track and Trace Information: In-Memory Data Management Research
Autor Jürgen Mülleren Limba Engleză Paperback – 19 iun 2015
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.
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Specificații
ISBN-13: 9783642437670
ISBN-10: 3642437672
Pagini: 192
Ilustrații: XXIV, 168 p.
Dimensiuni: 155 x 235 x 10 mm
Greutate: 0.28 kg
Ediția:2013
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria In-Memory Data Management Research
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3642437672
Pagini: 192
Ilustrații: XXIV, 168 p.
Dimensiuni: 155 x 235 x 10 mm
Greutate: 0.28 kg
Ediția:2013
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria In-Memory Data Management Research
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
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.
Notă biografică
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.
Textul de pe ultima copertă
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.
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.
Caracteristici
Presents latest academic research results in In-Memory Data Management adoptable for multiple challenges Numerous illustrations and tables give a good introduction into the topic Includes valuable tips on In-Memory Data Management for track and trace applications