Monte Carlo Simulation and Critical Chains

被引：0

作者：

Tysiak, Wolfgang ^{[1
]}

机构：

[1] Univ Appl Sci Dortmund, Fac Business Adm, Emil Figge Str 44, D-44227 Dortmund, Germany

来源：

PROCEEDINGS OF THE 2017 9TH IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT DATA ACQUISITION AND ADVANCED COMPUTING SYSTEMS: TECHNOLOGY AND APPLICATIONS (IDAACS), VOL 1 | 2017年

关键词：

critical path; PERT; Monte Carlo simulation; critical chains;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In the course of the scheduling of a project we always have to face uncertainties in the planned durations of the individual activities. The most frequently used method to handle this situation, is PERT. But PERT offers some detriments like the systematic underestimation of the real risk. Therefore a further development led to the "critical field" approach, which implies the use of Monte Carlo simulation. In this contribution the mentioned critical field approach is enhanced to the well-known critical chain technique, which also takes into account the availability of resources for the individual activities.

引用

页码：471 / 474

页数：4