Collaborative forecasting in networked manufacturing enterprises

Raul Poler, Jorge E. Hernandez, Josefa Mula, Francisco C. Lario

Research output: Contribution to journalArticlepeer-review

46 Scopus citations


Purpose - This paper seeks to propose an overall model of collaborative forecasting for networked manufacturing enterprises. Design/methodology/approach - Contributions by several authors to collaborative forecasting have been analysed from different viewpoints. A collaborative-forecasting model for networked manufacturing enterprises has been proposed and validated by means of a simulation study. Findings - This model significantly reduces the inventory levels of the whole network and improves customer service. Research limitations/implications - Simulation experiments were done with the enterprise network herein described. Future research will include the simulation of more complex enterprise network scenarios with different characteristics. Practical implications - The model can be implemented node-to-node, since not all the companies in the network have to participate, thus facilitating implementation and propagation throughout the network. Originality/value - The paper proposes a new structured planning and forecasting collaboration model for networked manufacturing enterprises.

Original languageEnglish
Pages (from-to)514-528
Number of pages15
JournalJournal of Manufacturing Technology Management
Issue number4
StatePublished - 2008
Externally publishedYes


  • Demand forecasting
  • Manufacturing industries
  • Networking
  • Simulation


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