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This paper proposes a multi-agent framework for intelligence decision support system that targets improved decision making, parallels human problem solving processes, and supports the major phases of decision making. Agents are organized by their roles according to different phases of problem solving. They interact with the user, the environment, and each other, to improve the decision making process. The specific purpose is to make DSS a more popular consultant to todaypsilas decision makers by identifying the shortcomings of the traditional approaches, studying their root causes, and developing concepts and methods to address them.The application results got the conclusion that intelligence decision support system for manufacturing management can improve management efficiency of distributed manufacturing enterprises.