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Centralised Demand Information Sharing in Supply Chains

Mohammad M. Ali

ISBN 10: 3639284356 / ISBN 13: 9783639284355
Published by VDM Verlag
New Condition: New Soft cover
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284 pages. Dimensions: 8.7in. x 5.9in. x 0.6in.Many companies are embarking on strategies to share consumer sales data among the supply chain members. This is a move away from being customer centric towards being consumer centric. Various empirical studies of such supply chains show how such collaboration activities increases forecasting accuracy, thus resulting in better service levels, lower inventory costs and increased revenues. The high savings in cost justifies the implementation of formal information systems and structures to support the collaboration. This research analyses how supply chain collaborations should be conducted through a centralised demand information sharing system. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Bookseller Inventory # 9783639284355

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Bibliographic Details

Title: Centralised Demand Information Sharing in ...

Publisher: VDM Verlag

Binding: Paperback

Book Condition:New

Book Type: Paperback

About this title

Synopsis:

Many companies are embarking on strategies to share consumer sales data among the supply chain members. This is a move away from being ?customer centric' towards being ?consumer centric'. Various empirical studies of such supply chains show how such collaboration activities increases forecasting accuracy, thus resulting in better service levels, lower inventory costs and increased revenues. The high savings in cost justifies the implementation of formal information systems and structures to support the collaboration. This research analyses how supply chain collaborations should be conducted through a centralised demand information sharing system.

About the Author:

Mohammad M. Ali heads the Business and Management Department at Buckinghamshire New University. Previously he worked in the automotive industry as a Supply Chain Manager. Mohammad holds a PhD from Brunel University and is an active researcher in the area of Collaborative Forecasting in supply chains.

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