Innovation and disruption create growth but also uncertainty. Traditional analysis struggles to support bold strategic decisions, especially in emerging markets. Learn how simulation modeling can help develop and test business strategies, offering a practical approach to navigating complexity and shaping the future.
Material handling processes in factories and warehouses are often complex to manage and optimize. Simulation provides a clear and effective approach to analyze and improve these operations, making them easier to understand and communicate. Discover how businesses are gaining value from material handling simulation in our white paper.
Simulation modeling enables consultants to solve real-world challenges safely and efficiently. Across industries and disciplines, it delivers insights and analysis that are easy to verify, communicate, and understand. Read on to discover why consulting practices worldwide rely on simulation, explore real-world examples, and learn how to get started.
Rising competition is driving businesses to adopt digital twins—but what are they, why are they needed, and how are they developed? To understand their benefits, it's essential to explore the possibilities they offer. This paper examines the key characteristics and construction of digital twins, the challenges involved in creating effective ones, and illustrates their value through real-world examples.
Simulation exists because of the need to learn; that is its origin. Today, tutors, students, and researchers across disciplines and institutions worldwide benefit from simulation modeling. This paper explains why simulation is valuable in education, how it supports research, and how to choose the right tool for your simulation modeling needs.
Artificial intelligence technologies, such as machine learning, are enabling companies to make better use of data, driving smarter decisions and more streamlined operations. Their impact is already visible across industries—and growing. This white paper introduces key AI tools, shares practical examples, and demonstrates how combining AI with simulation solves complex problems.
This paper explores various approaches to simulation modeling and defines multimethod (or hybrid) modeling. Moving from theory to practice, we build a multimethod simulation model, analyze it, and address one of the most common challenges for novice modelers: choosing the most suitable modeling method or combination of methods to meet a specific goal.
The ORMS Today journal, published by the global analytics institute INFORMS, conducted a detailed comparison of leading discrete-event simulation tools. In 2017, 38 developers contributed data on 45 tools for the survey. The report highlights key features across platforms, including 3D animation, CAD import, model export, and more.