Simulation Modeling is a proven method that provides substantial benefits when seeking to improve and optimize complex probabilistic systems. Specifically applied to interdependent processes in both serial and parallel arrangements, simulation modeling can provide insights about how physical systems will ultimately perform at steady state. It also provides a platform to bench-test scenarios to achieve the most cost-effective means to achieve targeted performance and service levels.
Data Mining & Machine Learning have been instrumental in understanding how historical performance can be utilized to find optimal solutions across a variety of industries. Data mining can be used to extrapolate historical stimulus and response outcomes to provide predictions of future performance under a variety of input conditions. Machine learning can be applied to allow powerful computing horsepower to seek out patterns and causal relationships automatically with millions of interactive learning algorithms.
Digital Twins and Modern Dashboarding technologies bring together the enormous computational resources into a user-accessible, cognitively consumable presentation layer that can be used by professionals at varying levels of technical abilities, from highly trained engineers to executives seeking to better learn and understand the complexities of modern production technologies. Simulation Dynamics has built several examples that are in active use today with our global client base.
SDI has built deep expertise in .NET programming in both C# and F# to develop specific client-use software tools for the desktop and cloud deployment. We have a long history of creating applications from our work that deliver long-term functional value to the clients we serve. Several of our applications have been actively used for more than a decade by tens of thousands of global users. These applications are not only delivered and tested, but they remain active and evolve as business needs and use cases expand in the future. This sets us apart from many consulting companies who deliver a project or an analysis - SDI delivers long-term value and partnership.
Decision Support System (DSSs) bring data and analytics to life and presents the information in a consumable interface to support business professionals to make informed judgments and decide on the best courses of action to achieve optimal outcomes. Decision support systems provide more informed decision-making, timely problem-solving, and improved efficiency in dealing with issues in systems operations, business planning, and general management. SDI brings the skills to employ probabilistic analysis that generates high value to the massive amounts of data in our client's systems.
Consumable Data Models (CDMs) are a concept SDI has developed in conjunction with our clients to bridge the gap between the raw data layer and an end-user consumption of analytical datasets that are purpose built to drive specific business insights. Several foundational tenets are critical to a CDM including simple data access and usability ensuring that historical data remains in tact to ensure consistency of data elements and computations over time. CDM users aren't required to have deep knowledge of database design or complex SQL skills. CDMs combine SDI's technical talent with our deep industry and subject matter expertise.