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Modelling Collaborative Forecasting in Decentralized Supply Chain Networks with a Multiagent System

Information technology has become a strong modelling approach to support the complexities involved in a process. One example of this technology is the multiagent system which, from a decentralized supply chain configuration perspective, supports the information sharing processes that any of its node will be able to carry out to support its process in a collaborative manner, for example, the forecasting process. Therefore, this paper presents a novel collaborative forecasting model in supply chain networks by considering a multiagent system modelling approach. The hypothesis presented herein is that by collaborating in the information exchange process, less errors are made in the forecasting process.