To read this content please select one of the options below:

Collaborative forecasting in networked manufacturing enterprises

Raul Poler (Research Centre on Production Management and Engineering, Universidad Politécnica de Valencia, Valencia, Spain)
Jorge E. Hernandez (Research Centre on Production Management and Engineering, Universidad Politécnica de Valencia, Valencia, Spain)
Josefa Mula (Research Centre on Production Management and Engineering, Universidad Politécnica de Valencia, Valencia, Spain)
Francisco C. Lario (Research Centre on Production Management and Engineering, Universidad Politécnica de Valencia, Valencia, Spain)

Journal of Manufacturing Technology Management

ISSN: 1741-038X

Article publication date: 2 May 2008

3017

Abstract

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.

Keywords

Citation

Poler, R., Hernandez, J.E., Mula, J. and Lario, F.C. (2008), "Collaborative forecasting in networked manufacturing enterprises", Journal of Manufacturing Technology Management, Vol. 19 No. 4, pp. 514-528. https://doi.org/10.1108/17410380810869941

Publisher

:

Emerald Group Publishing Limited

Copyright © 2008, Emerald Group Publishing Limited

Related articles