Research on Decision-making Scheduling Model of Distributed Multi-agent Collaborative Group in Supply Chain Based on Multi-agent System

Abstract

This paper studies the distributed multi-agent collaboration mode of multi-agent system in the supply chain and the multi-task matching agent scheduling strategy. The supply chain is a typical multi-agent distributed decision system, Multi-agent system solves complex multi-objective optimization problems. This paper establishes a distributed decision model of supply chain based on multi-agent system, and considers that a single algorithm is difficult to solve complex optimization problems. We introduce a global coordination agent, which is responsible for global monitoring of all principal agents and their running status in MAS. Diagnosing and processing the allocation of task resources, introducing EDF algorithm and RMS algorithm into the strategy. The combination of the two algorithms makes the efficiency of the background management platform of the system relatively improved and optimized, and the supply chain as a whole tends to be optimal. This paper analyzes and describes the distributed decision model of supply chain based on multi-agent system based on multi-agent system and blackboard model. The distributed multi-task decision-making scheduling model in supply chain is given. Finally, the model is analyzed and evaluated.