随着制造模式日益趋于网络化与社区化,订单及生产工艺充满着高度动态与不可预测性.在此背景下,传统的制造模式已然无法处理诸如紧急订单和机器故障等常见的突发异常事件.与此同时,多智能体制造系统凭借其对于异常事件处理的实时性从众多制造模式中脱颖而出,然而由于智能体封装通用性的缺乏使得多智能体制造系统很难应用于工业现场.基于此,本文提出了一种融合智能体封装、交互与决策的多智能体制造新模式.首先,建立了基于正向工序关系矩阵的多智能体接力协作模型;然后改进了传统的基于合同网协议(Contract net protocol,CNP)的协商机制,提高了智能体间的协商效率;最后,以自组织物联制造系统为例,验证了正常与扰动情形下该模式的可行性和有效性.实验结果表明,针对异常处理,本文提出的自组织物联制造模式在完工时间和关键机器负载平衡方面均优于传统集中式调度方式.“,”As the manufacturing mode focuses more on network and community,the orders and production processes are becoming highly dynamic and unpredictable. The traditional manufacturing system cannot handle those exceptional events such as rush orders and machine breakdowns. Nevertheless,the multiagent manufacturing system(MAMS) becomes a critical pattern to deal with these disturbances in a real-time way. However,due to the lack of universality, MAMS is difficult to be applied to industrial sites. A new multiagent architecture and the relay cooperation model based on a positive process relation matrix are proposed to address this paper\'s issue. An optimized contract net protocol(CNP)-based negotiation mechanism is developed to improve the efficiency of collaboration in the proposed architecture. Finally,a case study of self-organizing internet of things(IoT)manufacturing system is used to test the feasibility and effectiveness of the method. It is shown that the proposed self-organizing IoT manufacturing mode outperforms the traditional manufacturing system in terms of makespan and critical machine workload balancing under disturbances through comparison.