An increased need for collaborative research, together with continuing advances in communication technology and computer hardware, has facilitated the development of distributed s...
Simulations often depend heavily on random numbers, yet the impact of random number generators is recognized seldom. The generation of random numbers for simulations is not trivia...
Roland Ewald, Johannes Rossel, Jan Himmelspach, Ad...
Modeling and simulation frameworks for use in different application domains, throughout the complete development process, and in different hardware environments need to be highly ...
Jan Himmelspach, Roland Ewald, Adelinde M. Uhrmach...
Modeling and simulation of biochemical systems are important tasks because they can provide insights into complicated systems where traditional experimentation is expensive or imp...
Simulation modeling methodology research and simulation analysis methodology research have evolved into two nearly separate fields. In this paper, ways are shown how simulation mi...
This paper provides a brief literature review of the current applications of simulation in Australia. The paper identifies areas that use simulation modeling and dynamic tools for...
Most discrete event simulation frameworks are able to output simulation runs as a trace. The Network Simulator 2 (NS2) is a prominent example that does so to decouple generation o...
A simulation was commissioned to understand the interactions that constrain the capacity of a steel plant. The aim was for this to become a reusable tool that could evaluate the e...
Optimization and design of production and service operations has been a cornerstone of simulation applications for many years. Recently there has been increasing interest in excel...
Despite that simulation possesses an establish background and offers tremendous promise for designing and analyzing complex production systems, manufacturing industry has been les...