Simudyne’s expertise is in the use of a consultative, systems thinking approach to facilitate the characterization of complex problems. These systems and interactions are then modeled using a combination of non-linear mathematics, a multi-discipline simulation platform and advanced visualization tools that combine geospatial data with simulation outputs. Our clients use our technologies and services to better understand the interactions in complex, interrelated systems and the robustness of positive interventions across a wide range of emerging future scenarios.

Development Methodology

The need for methodology to control the simulation development process emerged immediately with the first few major assignments. It was not, and is not, an effort to control the creative process of the developer, but to align that process with the expectations of the client, a client who is used to doing business a certain way as it relates to controlling software projects. The fact that a good methodology is all about collecting and using the best practices of the discipline to make development more efficient and effective is a beneficial, but secondary, objective.

All of us involved in the growth of Simudyne believe in the future of simulation. If not as a paradigm shift in the way we see human systems of all sorts that will lead to a revolution in the way we understand and manage our way in the world, then at least as the latest generation of modelling techniques, more efficient and effective than the last.

If we are right, then as it relates to their application in business, over the next few years we will increase our knowledge of how to create these simulations, refine the capabilities and sophistication of the simulations and what they can tell us, and move out of the research and development structure of our past experimental efforts and into the world of standard business systems, in which embracing the concepts and utilizing the capabilities of simulations will have become the standard, not the exception.

Along the way the size and complexity of the projects that create the simulations will increase with the size and complexity of the objectives of the modeling, and we will find ourselves (indeed, we already find ourselves) facing a problem of structure and organization that is the precise parallel of the issues that have always faced computer application development projects, namely, how to manage and control the systems development life cycle (SDLC).

Please contact us to request a copy of our white paper on Simudyne’s simulation development methodology. We share our thoughts in the hope that such an effort will contribute to the ongoing dialogue on the issue amongst the clients and members of Simudyne. That dialogue will hopefully lead to a heightened awareness and understanding of the fundamentals of large scale simulation development projects, and, perhaps more importantly, of the standards and practices already in place in global corporations on the subject that, if we are lucky, we will have to deal with as the capabilities and popularity of the discipline gradually work their way into the “best practices” of critical decision makers in business.