The increasing use of discrete simulation in modelling large and complex systems brings new challenges. One such challenge is the need to devise ways of developing modular approac...
This paper presents an implementation methodology appropriate for providing a broad range of proven, classical Operations Research methods and techniques to the simulation modeler...
With modern simulation packages, the modeler can choose almost any standard statistical distribution for generating input random variables. The question arises as to how sensitive...
This paper addresses the issues related to the decision processes of manufacturing system simulation. The manufacturing system is perceived in terms of intelligent entities capabl...
Simulation and modeling is becoming one of the standard approaches to understand complex biochemical processes. Therefore, there is a big need for software tools that allow access...
Stefan Hoops, Sven Sahle, Ralph Gauges, Christine ...