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实现ＣＡＰＰ和ＰＰＣ功能集成是从根本上解决生产计划与工艺整体优化的途径．根据ＣＡＰＰ和ＰＰＣ多级并行分布式集成体系结构，研究了支持ＣＡＰＰ和ＰＰＣ功能集成的决策模型与算法，建立ＣＡＰＰ和ＰＰＣ的集成决策目标以及在该统一目标下的多层集成单元递阶决策的模型，设计有效支持该决策模型的工艺技术分析算法和瓶颈处理算法．该模型和算法强调相关决策活动并行完成与将工艺计划和生产（作业）计划作为一个整体进行优化的原则．仿真实验结果表明，模型和算法是正确可行的．
The realization of CAPP and PPC functional integration is a fundamental solution to the overall optimization of production planning and process. According to the CAPP and PPC multi-level parallel distributed integration architecture, the decision model and algorithm that support the integration of CAPP and PPC functions are studied, and the integrated decision-making goal of CAPP and PPC and the hierarchical decision-making of multi-level integrated unit under the unified goal Model, a process technology analysis algorithm and a bottleneck algorithm that effectively supports the decision model are designed. The model and algorithm emphasize the principle that related decision-making activities are completed in parallel with the optimization of the process planning and production (work) plans as a whole. Simulation results show that the model and algorithm are correct and feasible.