Centralised Demand Information Sharing in Supply Chains: A Consumer Centric Approach

Mohammad Ali

Research output: Book/ReportBook

Abstract

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.
Original languageEnglish
Place of PublicationGermany
PublisherVDM Verlag
Number of pages260
ISBN (Print)978-3-639-28435-5
Publication statusPublished - 25 Feb 2011

Keywords

  • Supply Chain Management
  • ARIMA Methodology
  • consumer centric approach
  • forecasting methods
  • demand information sharing
  • forecast information charing
  • inventory forecasting
  • bullwhip effect
  • downstream demand inference
  • value of sharing information
  • Single exponential smoothing
  • Simple Moving Averages

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