摘要
为了更有效地分析应急物流救援系统的性能,在分析Petri网特性及主要功能的基础上,以大型自然灾害或突发事件为背景,引入随机Petri网建模方法建立应急系统模型,进行性能分析。首先根据应急物流救援系统流程图构建Petri网模型,对模型的可达性、活性、安全性进行分析以验证模型的有效性;然后利用马尔可夫随机过程与其同构的特性构建系统的马尔可夫链,建立线性方程,引入算例,通过主要性能指标的定量分析反映系统问题;最后针对系统问题提出建议。该模型能够形象地描述出流程发生的先后次序和异步并发关系,其成熟的性能分析方法能够有效发掘影响系统运作效率的关键环节,为分析系统流程提供了可行的方法,所提建议为优化应急物流救援系统提供了参考。
In order to more effectively analyze the performance of logistics emergency rescue system, based on analyzing the characteristics and main functions of the Petri net and its advantage of describing asynchronous concurrent random image system, this paper introduces stochastic Petri net modeling method to establish emergency system model on the basis of serious natural disasters or emergencies, and analyzes the performance.Firstly, according to the emergency rescue system of logistics flow chart, the Petri net model is built, and through the analysis of accessibility, activity and safety, the validity of the model is verified;Secondly, the Markov chain is constructed using the characteristics of isostructuralism with the Markov stochastic process, the linear equations is established, and a numerical example is introduced, reflecting the problems of the system through the quantitative analysis of main performance indexes.Finally, some suggestions are put forward about the problems.On the one hand, this modeling can vividly describe the sequential and asynchronous concurrent relationships between the processes;on the other hand, its mature performance analysis method can effectively explore the key links which have significant impacts on the operational efficiency of the system.The system analysis theory provides a feasible method for the analysis of system flow, and the proposal provides a theoretical basis for the optimization of the entire emergency logistics rescue system.
出处
《河北科技大学学报》
CAS
2017年第3期269-277,共9页
Journal of Hebei University of Science and Technology
基金
国家自然科学基金(71301044)
河北省教育厅科研项目(2017029
2014027)
关键词
物流系统管理
系统建模
应急物流
PETRI网
马尔可夫链
性能分析
logistics systems management
system modeling
emergency rescue logistics
Petri nets
Markov chain
performance analysis