公司供应链管理问题敏感性分析与优化——基于系统动力学和Vensim

E. Kasperska, E. Mateja-Losa, Rafał Marjasz
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引用次数: 9

摘要

本文的目的是介绍公司物流问题的优化和仿真研究工作的新成果。为了解决Forrester在供应链模型中描述的具体管理问题,应用了系统动力学(SD)方法和Vensim仿真语言。Forrester (Forrester, 1961)提出的“顾客-生产者-就业系统”的历史模型尚未从“自动”测试的角度进行敏感性分析的检验。优化实验也没有进行。这是令人惊讶的,因为这个模型是古老而广为人知的。Vensim语言提供的机会允许我们执行这样的分析。可视化被称为“置信界限”,用来显示选定变量在一段时间内的行为。应用蒙特卡罗方法从有界域内采样一组数字(指定每个搜索参数的分布)。本文作者在此范围内进行了大量实验。本文介绍了他们的研究结果,并给出了一些结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sensitivity Analysis and Optimization for Selected Supply Chain Management Issues in the Company – Using System Dynamics and Vensim
The aim of our paper is to present the new results of research work on optimization and simulation for some logistic problems in the company. The System Dynamics (SD) method and the Vensim simulation language are applied in order to solve specific managerial problems described by Forrester in the model of supply chain. The historical model of Customer-Producer-Employment System by Forrester (Forrester, 1961) has not been examined with the sensitivity analysis, from the “automatic” testing perspective. Optimization experiments have not been conducted, either. It is surprising, since the model is old and widely known. The opportunities offered by the Vensim language allow us to perform such analysis. The visualization called “confidence bounds“ is used, to show the behaviour of chosen variables over a period of time. The Monte-Carlo method is applied for sampling a set of numbers from within bounded domains (distribution for each searching parameters is specified). The authors of this paper conducted numerous experiments in this scope. This paper presents their results and offers some conclusions formulated at the end.
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