Process Modeling
Unlike business processes in the real world, a model can be tinkered with without betting the company.

An overlooked method by many companies for gaining a competitive edge is modeling. Modeling is the science (and art) of building a simulation of some real event, process, method, or interaction and testing that simulation to see what happens under different combinations of stimuli. In the process, limits can be explored, failure conditions can be evaluated, and bottlenecks or other problems can be identified.

Some industries apply modeling as a matter of course, especially  the chemical, petroleum, and engineering industries. However, modeling is much more widely applicable than just simulation of physical processes, such as a catalytic reaction in a refinery. In business, modeling of work flow and processes can pay off in increased efficiency and lowered costs. A supposedly simple operation such as a car wash may have hidden complexities that limit the business owner's throughput during peak periods, thus decreasing profits and potentially losing customers with long waits.

Modeling tools can range from paper flow charts to sophisticated computer simulation languages. We're prepared to apply the appropriate tool to your needs and help you improve your business. Neuralytics' simulation experience includes Monte Carlo methods and modeling using tools such as SLAM II™, SES Workbench™, and Extend™. We also apply a healthy dose of common sense to our analysis activities, because we always remember that models can only approximate the real world, not replace it.

Prediction and analysis of system performance is critical to a project's success. Neuralytics has the necessary background to effectively analyze your application, extract critical performance metrics, and present the results as recommendations, reports, or design concepts.

Please contact us and see how modeling your operations can improve productivity and reduce hidden costs.