分布决策环境下生产-分销协同计划研究

针对分布决策环境下因信息不对称使得供应链协同计划求解困难及难以达到全局最优的问题，本文利用多层规划理论和方法构建一个供应链生产-分销协同计划模型，采用模糊交互式协商和遗传算法的优化求解方法对协同计划模型进行求解。该方法求解的结果是一组满足约束条件的满意解，各节点企业根据自身偏好和约束信息决定是否接受该满意解，或者修正各自目标满意度隶属函数重新求解。决策过程具有一定的柔性。最后通过算例给出供应链生产-分销协同计划满意解的求解过程，对文中所建立的模型和算法进行了有效地说明和验证。求解结果说明该模型和协商方法能够有效地解决非对称信息条件下供应链生产-分销协同计划的求解和冲突问题。

Research on Production-Distribution Collaborative Planning for Distributed Decision Environment

In the production-distribution system with distributed decision environment, because of the ambiguous information among enterprises,the supply chain production-distribution collaborative planning process often leads to conflicts. These conflicts are not conducive to the optimal solution.At present, the supply chain production distribution collaborative planning under asymmetric information conditions has become hot problem. The multi-level supply chain production distribution collaborative planning based on negotiation mode is studied in this paper under the non-symmetric information. A satisfactory solution method for solving collaborative planning is designed based on the theory of multi level programming planning and interactive negotiation. The supply chain collaborative planning collaborative planning problem can be seen as a multi level programming problem. The concept of collaborative planning satisfactory solution is described and the negotiation algorithm is designed for solving the satisfactory solution. The validation of the model and the process are illustrated by using an simulation example. The results show that the model and the negotiation approach could effectively solve the conflict problem caused by asymmetric information in the process of supply chain production distribution collaborative planning. This research is helpful to extend the production distribution collaborative planning to the general supply chain structure, and it can also improve the collaborative efficiency and management level in supply chain under asymmetric information conditions.