复杂系统基于显性动态因子的流程模型优化

Optimization of Process Models for Complex Systems Based on Explicit Dynamic Factors

针对复杂系统的工程流程日益复杂,多业务节点的逻辑与物理层面的耦合性愈发密集,动态损耗对时效性整体影响愈发明显的问题,提出了一种新的基于复杂系统工程应用时效性动态显性化模型,贴近实际工程应用场景,考虑了流程执行过程中的不确定因素,并进行分类显性化。与传统静态模型相比,动态优化模型增加了对复杂系统工程实际应用过程中时效性影响因子的动态多元化和定性约束化,动态描述系统工程时效性在实际工程应用中的典型特点和运用状态,提高系统工程在实际应用中的正反馈特性。仿真结果说明,上述方法有效可行,为系统流程执行展现了客观实际的流程时效性影响因子,为系统设计人员合理化分析、规划系统流程提供了较好的辅助优化手段。上述模型设计已获相应专利,并投入实际复杂系统工程运用。

A new dynamic explicit model based on the timeliness of complex system engineering applications is proposed to address the increasingly complex engineering processes,the increasingly dense coupling between logical and physical levels of multiple business nodes,and the increasingly obvious impact of dynamic losses on overall timeliness.This model is close to practical engineering application scenarios,considers uncertain factors in the process execution,and classifies them for explicit representation.Compared with traditional static models,the dynamic optimization models increase the dynamic diversification and qualitative constraint of the timeliness impact factors in the practical application process of complex system engineering,dynamically describe the typical characteristics and application status of system engineering failure in practical engineering applications,and improve the positive feedback characteristics of system engineering in practical applications.The simulation results demonstrate the feasibility and effectiveness of the method which demonstrates objective and practical process timeliness factors for the system process execution,and provides a good auxiliary optimization method for system designers to rationalize analysis and plan system processes.The model design has been granted corresponding patents and has been applied in practical complex system engineering.