TY  - JOUR
AB  - 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.
VL  - 19
IS  - 4
SN  - 1741-038X
DO  - 10.1108/17410380810869941
UR  - https://doi.org/10.1108/17410380810869941
AU  - Poler Raul
AU  - Hernandez Jorge E.
AU  - Mula Josefa
AU  - Lario Francisco C.
PY  - 2008
Y1  - 2008/01/01
TI  - Collaborative forecasting in networked manufacturing enterprises
T2  - Journal of Manufacturing Technology Management
PB  - Emerald Group Publishing Limited
SP  - 514
EP  - 528
Y2  - 2024/09/21
ER  -