This paper covers different approaches for modeling and analyzing business strategies, helps determine how to develop an optimal business strategy, and expands on why simulation modeling is the best approach to address these kinds of challenges.
Material handling processes, such as for factories and warehouses, are complex to manage and optimize. Simulation provides a way to analyze and refine material handling processes in a way that is easily understood and communicated. Learn how businesses are benefitting from material handling simulation in our white paper.
Simulation modeling helps consultancies solve real-world problems safely and efficiently. Across industries and disciplines, simulation provides insight and analysis that is easily verified, communicated, and understood.
Read on and discover why consulting practices around the world use simulation, see examples of their work, and find out how to get started.
Simulation exists because of learning, that is its origin. Tutors, students, and researchers, in all kinds of fields at institutions around the world, now benefit from simulation modeling.
In this paper, we show why simulation is used in teaching, how it assists research, and how to choose the right tool for your simulation modeling needs.
Artificial intelligence technologies like machine learning are enabling companies to leverage their data and benefit from new insights and efficiencies. The effects can already be seen in industries throughout the global economy — a trend that will only increase. This whitepaper introduces the technologies companies are using, gives practical and industrial examples, and shows how both simulation and artificial intelligence together resolve problems and make a powerful combination. You also receive access to materials for a deeper dive into AI and simulation in business — a hands-on simulation model, presentations, and videos. Get the Artificial Intelligence and Simulation in Business whitepaper and supporting materials!
In this paper, we cover the different approaches to simulation modeling and define multimethod (also called hybrid) modeling. Moving from theory to practice, we will build a multimethod simulation model example, analyze it, and find a solution to the most common issue for novice modelers: how to choose the most appropriate modeling method or combination of methods to meet your challenge and purpose.
“ORMS Today” journal, published by a global institute of operational management and analytics “INFORMS”, completed a detailed simulation software comparison of popular competitor tools for discrete event modeling. In 2017 this simulation software survey was supported by 38 developers with 45 tools. Data used in the research was kindly presented by the developers themselves. The document contains the list of competing simulation software features, such as 3D animation support, import of CAD charts, export of ready-to-use models, and more.