Forecasting collaboration in the European grocery sector: Observations from a case study
通过分析欧洲杂货行业四个制造商与一个零售商的合作项目，发现许多合作模型基于对零售商预测需求、资源和流程的错误假设，限制了大规模实施。
Abstract 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.