Collaborative Tactical Planning in Multi-level Supply Chains Supported by Multiagent Systems

Abstract

Abstract. In the supply chain modeling context, the agent-based model aims to represent not only each node, but also the information sharing process among these nodes. Despite the complexity of the configuration, the agent-based model can be applied straightforwardly to support the collaborative planning process. This allows the parties to achieve common goals effectively. Thus by sharing accurate, action-based information, collaboration among the nodes will emerge to improve the decision-making process in supply chain planning processes. Therefore, this paper presents a novel collaborative planning model in multilevel supply chains that considers a multiagent system modeling approach to carry out the iterative negotiation processes which will support the decisionmaking process from a decentralized perspective.

Supply Chain Information Collaborative Simulation Model Integrating Multi-Agent and System Dynamics

“…The multi-agent system can intelligently assign tasks to each agent subsystem and integrate the services of each agent [19], so as to comprehensively simulate the operation process of a supply chain, obtain more practical and accurate fitting results and provide decision-making basis for supply chain management. Therefore, this paper proposes a more suitable model to study supply chain information collaboration by combining system dynamics and multi-agent system.…”

Reporting on Internationalization of Operations, GLOBOP: Design and Management of Global Supply Chains

“…This project will use simulation to do what-if analyses to improve the developed analytical models and algorithms. Finally, the applications of the multiagent systems of [31][32][33] for validating the proposed models are highlighted.…”