Data Analytics and Visualisation in Logistics and Supply Chains
Kogan Page Ltd (Verlag)
978-0-7494-7877-3 (ISBN)
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An introduction to the visualisation and analysis of data in logistics and the supply chain, with an emphasis on statistics and data mining. Technology is also examined and case studies look in detail at Big Data, knowledge management, and visualization. Finally, the future of the area is considered.
Across the supply chain information is now gathered and monitored in real time. To maximise the potential of such data logisticians must to be able to analyse, explore and visualise their data, better allowing them to build leaner, more agile and more reflexive supply chains.
Suitable for students, as well as practitioners, this book gives a clear practical guide to the key concepts and uses of data within logistics.
Dr Ross Clement, Senior Lecturer of Interactive and Media Technologies at De Montfort University, with a special interest in the application of computational, including Artificial Intelligence, techniques to media. Dr Parminder Singh Kang, Research Fellow, School of Engineering and Sustainable Development, De Montfort University. A member of IMechE, IET and ASME, with research interests in evolutionary algorithms, combinatorial optimization, simulation modelling, as well as the application of these techniques in industrial/service process improvement and operations optimization. Dr Alistair Duffy, Professor of Electromagnetics, School of Engineering and Sustainable Development at De Montfort University. An IEEE EMC Society Distinguished Lecturer in 2008 and 2009, Associate Editor for the IEEE Transactions on EMC, Editor-in-Chief of the Transactions of the IWCS, Editor-in-Chief of the ACES Newsletter.
| Verlagsort | London |
|---|---|
| Sprache | englisch |
| Maße | 162 x 240 mm |
| Gewicht | 785 g |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik | |
| Wirtschaft ► Betriebswirtschaft / Management ► Marketing / Vertrieb | |
| ISBN-10 | 0-7494-7877-2 / 0749478772 |
| ISBN-13 | 978-0-7494-7877-3 / 9780749478773 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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