SANLab-CM - The Stochastic Activity Network Laboratory for Cognitive Modeling

2009 ◽  
Author(s):  
Evan W. Patton ◽  
Wayne D. Gray ◽  
Michael J. Schoelles
Keyword(s):  
Cognitive Modeling ◽  
Activity Network ◽  
Stochastic Activity

A New Approach to Determine the Critical Path in Stochastic Activity Network

2014 ◽  
Author(s):  
Eng Ming Chu ◽  
Koan Yuh Chang ◽  
Chien Yu Lu ◽  
Chang Hung Hsu ◽  
Chien Hung Liu ◽  
...  
Keyword(s):  
Critical Path ◽  
New Approach ◽  
Activity Network ◽  
Stochastic Activity

THE MANAGEMENT OF TRANSFORMATION IN EAST GERMAN FIRMS

1996 ◽  
Vol 04 (01) ◽  
pp. 57-77 ◽  
Author(s):  
PETER WITT
Keyword(s):  
Network Analysis ◽  
East Germany ◽  
Transformation Process ◽  
Optimal Sequence ◽  
Activity Network ◽  
Large Project ◽  
East German ◽  
Time Required ◽  
Transformation Processes ◽  
Stochastic Activity

The transformation of East Germany from a socialist to a market economy has brought about the need to restructure all East German firms. Managing this transformation process is comparable to the planning and controlling of a large project in a quickly changing economic environment. The main goal for the managers of firms in transition is to ensure the survival of their companies and to reduce the time required for the restructuring processes. The purpose of this study is to assess stochastic activity network analysis as a tool for the management of transformation. Network analysis allows to identify the necessary management activities, to plan the optimal sequence of these activities, and to control ongoing transformation processes. Our experiences so far suggest that the stochastic activity network technique GERT is a well suited technique for the analysis of transformation processes. To illustrate this new application of GERT, the study presents a simulation of a GERT activity network for the transformation process of a firm. The simulation is based on more than 20 in-depth case studies conducted in East Germany.

Safe-Platoon

2019 ◽  
Vol 11 (2) ◽  
pp. 26-37
Author(s):  
Mohamed Garoui
Keyword(s):  
Failure Modes ◽  
Formal Model ◽  
Quantitative Estimation ◽  
Research Field ◽  
System Complexity ◽  
Activity Network ◽  
Open Research ◽  
Stochastic Activity

Building a safety model to make expert decisions is an approach to improve the safety of a system. The issue of safe modeling and analyzing such domain is still an open research field. Providing quantitative estimation of a system's safety is an interesting method to study system complexity. This article explores the author's current methods and proposes a new formal model for quantitative estimation based on a stochastic activity network (SAN). This model is built based on some failure modes that affect platoon vehicles.

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