A multiagent-based system to support the decentralized collaborative decision-making process in the automobile supply chain sector

Information technology has become a strong modeling 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 nodes will be able to carry out to support its process in a collaborative manner: for example, the planning and decision-making process. Therefore, this paper presents a novel collaborative planning model in supply chain networks that considers a multiagent system modeling approach to support the decision-making process from a decentralized perspective. The hypothesis presented herein involves collaborating in the information exchange process while the decision-making process will improve by increasing, for instance, the profit rate level until a certain collaboration level.