In a world where data reigns supreme, the ability to rapidly convert raw insights into actionable strategies sets leading businesses apart. Consultants in simulation modeling now have the tools to develop sophisticated, data-driven frameworks without being held back by the limitations of traditional coding.
By embracing low-code solutions, you can accelerate your business process, enabling faster, smarter, and more collaborative decision-making.
Contents:
- Data-driven framework developed with simulation modeling
- The AnyLogic advantage in a data-driven world
- Real-world success: the Novelis story
- Transformative insights for simulation consultants
- Conclusion
Embracing a data-driven framework developed with simulation modeling
The traditional approach to simulation modeling often meant dealing with intricate codebases and extensive manual programming. However, there are options to build data-driven frameworks with low-code solutions and open new possibilities.
Low-code solutions transform the way you can build and deploy data-driven simulation models. Here are four ways in which your development can benefit from such solutions.
Accelerated development with low-code
Instead of investing countless hours in traditional coding, low-code solutions empower you to build simulation models easily using intuitive, drag-and-drop interfaces. This means you can focus on leveraging data insights rather than wrestling with complex code.
Enhanced flexibility and agility
A robust data-driven framework ensures your simulation models remain flexible and responsive to real-time data inputs. Low-code solutions allow rapid adjustments and iterations, crucial when operational environments or market dynamics shift unexpectedly.
Streamlined collaboration
With low-code solutions, team members both with and without technical backgrounds can collaborate effortlessly. The visual modeling tools transform raw data into precise, interactive simulations that empower all stakeholders to contribute and make informed decisions—no specialized training in traditional coding is necessary.
Cost efficiency and faster ROI
Leveraging a low-code environment to build data-driven simulation models reduces development time and the associated costs. This approach enables you to deliver high-impact results more rapidly, ensuring a quicker return on investment for the clients.
The AnyLogic advantage in a data-driven world
AnyLogic stands at the intersection of innovation and practicality, combining the best of traditional coding flexibility with the simplicity of low-code development. Here's why AnyLogic is the preferred choice for consultants striving to implement powerful data-driven frameworks.
1. Seamless integration of methods
AnyLogic supports multiple simulation paradigms—from discrete event to agent-based and system dynamics modeling—all in one environment. This multimethod modeling capability means you can create tailored, data-driven frameworks that address specific business challenges.
For more insights into multimethod modeling business implementation, check out the white paper.
2. Low code, full functionality
AnyLogic's intuitive interface allows for low-code model development, enabling you to leverage extensive data without the complexity of traditional coding. Yet, for those scenarios where fine-tuning is necessary, AnyLogic supports custom code integration, offering the best of both worlds.
3. Data integration and visualization
In a data-driven framework, visualization is key. AnyLogic helps you build sophisticated models quickly and provides cutting-edge analytical tools that convert complex data into clear, actionable insights. This capability enhances communication with stakeholders and proves confidence in the simulation outcomes.
Real-world success: the Novelis story
At the AnyLogic Conference 2024, Novelis, a global leader in aluminum rolling and recycling, presented a success story. They tried to move away from the traditional coding approach by adopting a low-code, data-driven framework with AnyLogic.
By the end of 2026, Novelis will complete a new plant. Because of the limited visibility of the non-existent factory, all planning was done using Excel models. But these models couldn't fully handle the complex details.
Novelis needed a more flexible way to plan how aluminum coils move through different steps on the floor. Traditional coding methods were too difficult to use and didn’t meet the needs for a user-friendly solution.
So, Novelis chose AnyLogic because it allows Java customization, has a fluid library, and can export models as standalone apps. Using these features, the team built a data-driven model that shows how the factory works in real-time.
By integrating their own custom library, they could shift to a drag-and-drop approach for communication within AnyLogic, making the process faster and more intuitive.
For a closer look at how Novelis built the model and the methods they used, take a look at the video below.
Transformative insights for simulation consultants
The shift from traditional coding to low-code solutions presents a unique opportunity for simulation consultants to transform how simulations are developed and delivered. Embracing this modern methodology means:
- Faster insights: deliver real-time data-driven simulations that provide immediate value.
- Enhanced collaboration: enable multidisciplinary teams to contribute directly to model development.
- Greater adaptability: swiftly adjust models to reflect new data or emerging trends.
- Cost savings: reduce development cycles and resource investments by bypassing time-intensive traditional coding.
From traditional coding to low-code solutions in simulation modeling
The convergence of a data-driven framework with low-code solutions offers a new path for simulation modeling. By moving away from the constraints of traditional coding, you can unlock unprecedented agility, collaboration, and efficiency in your projects.
Software like AnyLogic exemplifies this evolution, empowering consultants to build robust, data-informed simulations that drive effective business strategies.
If you are looking for other innovative techniques on how a consultant might benefit from simulation modeling, refer to our white paper.
