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Forecasting collaboration in the European grocery sector: Observations from a case study [An article from: Journal of Operations Management]
Book Details
Author(s)J. Smaros
PublisherElsevier
ISBN / ASINB000PDYN1O
ISBN-13978B000PDYN19
AvailabilityAvailable for download now
MarketplaceUnited States 🇺🇸
Description
This digital document is a journal article from Journal of Operations Management, published by Elsevier in 2007. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
Modeling-based research provides strong support for collaborative forecasting as a means of improving supply chain efficiency. Yet, despite positive attitudes towards collaboration and several pilot implementations undertaken in the beginning of the millennium, large-scale implementations of collaborative forecasting are still scarce. This article presents the results of an exploratory case study examining four collaboration projects involving four manufacturers and one retailer operating in the European grocery sector. By analyzing the positive and negative experiences of these companies and the results of their collaboration projects, factors that have an impact on the feasibility and value of forecasting collaboration are identified. A main finding is that many collaboration models appear to build on invalid assumptions concerning retailers' forecasting needs, resources, and processes, as well as manufacturers' capabilities to benefit from the demand or forecast information made available through collaboration.
Description:
Modeling-based research provides strong support for collaborative forecasting as a means of improving supply chain efficiency. Yet, despite positive attitudes towards collaboration and several pilot implementations undertaken in the beginning of the millennium, large-scale implementations of collaborative forecasting are still scarce. This article presents the results of an exploratory case study examining four collaboration projects involving four manufacturers and one retailer operating in the European grocery sector. By analyzing the positive and negative experiences of these companies and the results of their collaboration projects, factors that have an impact on the feasibility and value of forecasting collaboration are identified. A main finding is that many collaboration models appear to build on invalid assumptions concerning retailers' forecasting needs, resources, and processes, as well as manufacturers' capabilities to benefit from the demand or forecast information made available through collaboration.
