Management Innovations for Intelligent Supply Chains | Buch | 978-1-4666-2461-0 | www.sack.de

Buch, Englisch, 399 Seiten, Hardback, Format (B × H): 221 mm x 286 mm, Gewicht: 1179 g

Management Innovations for Intelligent Supply Chains


Erscheinungsjahr 2012
ISBN: 978-1-4666-2461-0
Verlag: Business Science Reference

Buch, Englisch, 399 Seiten, Hardback, Format (B × H): 221 mm x 286 mm, Gewicht: 1179 g

ISBN: 978-1-4666-2461-0
Verlag: Business Science Reference


The effective use of business intelligence, communication, and productivity applications for supply chain management are essential for the achievement and analysis of information sharing. <br><br><em>Management Innovations for Intelligent Supply Chains</em> provides comprehensive coverage in the latest research and developments of supply chain management. This reference collection provides research, methodologies, and frameworks of the incorporation of information systems to better support supply chain management.

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<strong>John Wang</strong> is a professor in the Department of Information & Operations Management at Montclair State University, USA. Having received a scholarship award, he came to the USA and completed his PhD in operations research from Temple University. Due to his extraordinary contributions beyond a tenured full professor, Dr. Wang has been honoured with a special range adjustment in 2006. He has published over 100 refereed papers and seven books. He has also developed several computer software programmes based on his research findings. He is the Editor-in-Chief of <em>International Journal of Applied Management Science, International Journal of Operations Research and Information Systems</em>, and <em>International Journal of Information Systems and Supply Chain Management</em>. He is the Editor of <em>Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications</em> (six-volume) and the Editor of the <em>Encyclopedia of Data Warehousing and Mining</em>, 1st (two-volume) and 2nd (four-volume). His long-term research goal is on the synergy of operations research, data mining and cybernetics.



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