基于最优生产技术的业务过程资源动态随机优化配置

Dynamical stochastic resource allocation optimization for business process based on optimized production technology

目前在不确定环境下,采用事先定义方式的静态优化配置方法缺乏柔性,难以适应实际业务过程中的动态性与不确定性,而采用共享队列和负载均衡的动态资源配置策略,又缺乏对资源配置的全局优化,不能保证过程执行的整体性能最优。为此,首先采用独立的资源队列和随机概率统计理论,建立了用于资源随机优化配置的业务过程分析模型,然后提出了基于最优生产技术思想的业务过程资源动态随机优化配置的方法,最后以应用实例及仿真实验验证了所提资源配置方法的有效性和优越性。

The exsisting resource static allocation optimization methods with schema were lack of flexibility and adaptability to the dynamics and uncertainties of the real business process execution, and dynamical resource allocation policies with shared queue or load balance had little room for global optimization, so traditional resource allocation methods/policies couldn＇t guarantee global performance optimization of business process execution under uncertain environments. Therefore, a new method was proposed. In this method, a business process analysis model for dynamical stochastic resource allocation optimization was built with individual resource queue and stochastic probability theory. Then, the dynamical stochastic resource allocation optimization method based on Optimized Production Technology （OPT） was presented. Finally, the effectiveness and advantage of this method were verified by an example and simulation experiment.