Online Content

1. Mohapatra, Pratap K.J. with Rahul Kumar Roy, "System Dynamics Models for Markov Processes"

Type:
Document
Date Created:
1991
Collection:
System Dynamic Society Records
Collecting Area:
University Archives
Collection ID:
ua435
Parent Record(s):
23d738ba88f8333bc39725f9cb5bd0b8, 51aed0dc79e37960f64cad2ef0f9a82a, and d1cfc0fcedb4f6334f34d1ca11dcf292
Thumbnail Path Ss:
/downloads/5q47s652z?file=thumbnail
System Modified Dtsi:
2020-01-02T18:47:26Z
Description:
Markov models and System Dynamics models are apparently applicable to two completely different kinds of problems. However, structurally, they can be proved to be equivalent to each other. This paper establishes this equivalence. Critical observation have been made with regard to similarity and aparent differences between the two methodologies. The paper has also proposed a procedure for converting Markov models into system dynamics models. Examples have been drawn for the Birth-Death process, M/M/1 Queue, Poisson Process and Yule Process to illustrate the method. It has been shown that such a framework makes the model for stochastic processes much more transparent and enables the system analyst to understand the behaviour better.