Visual and interactive
Simulation is visual and animated, so you can easily see what’s happening in a process as time progresses.
It’s also interactive, so you can quickly adapt it in any way that you might consider changing the real process.
What is simulation?
Simulation is the process of creating a digital model of a real-world system so you can test scenarios, predict outcomes, and improve decisions without changing the real operation. Businesses use simulation to identify bottlenecks, reduce risk, and improve performance in areas such as manufacturing, healthcare, and supply chain.
How does simulation work?
Simulation works by building a model of a real system, inputting variables such as demand, processing time, or resources, and running scenarios to see how outcomes change. This allows teams to experiment safely and understand the impact of decisions before implementing them.
Using intuitive simulation software like Simul8, you can build a visual mock-up of your process, similar to creating a flowchart. By adding timings and rules around the tasks, resources and constraints that make up your system, the simulation can accurately represent your real process.
Simulation offers a powerful, evidence-based approach to decision making - by using a virtual representation to test the impact of process changes and 'what-if' scenarios, you can find an approach that delivers the best results.
Simulation can also be used alongside complementary methods such as process mining for faster, informed decision-making, or incorporated into digital twin technology for round-the-clock improvement as part of day-to-day decision making.
Watch our video overview of simulation
How simulation helps analyze real-world systems
Time-based
As simulation runs through time much quicker than real life, you can simulate days, weeks or years of a process in seconds.
This enables you to rapidly evaluate the long-term consequences of any changes and decisions you make.
'What if' scenarios
Simulation allows you to compare different configurations under the exact same circumstances.
By testing different ideas, you can choose the approach that will provide the best performance for your process.
Matches reality
Unlike other process analysis methods, simulation includes variability to reflect real life and improve accuracy.
For example, contact center calls arrive in peaks and troughs, rather than evenly throughout the day or week.
Which business processes can be simulated?
As a general rule, any system that involves a process flow with events can be simulated – so any process you can draw a flowchart of, you can simulate.
The processes you'll gain most benefit from simulating are those that involve change over time, variability and randomness.
For example, at a gas station nobody can guess exactly which time the next car will arrive, whether that customer will decide to purchase gas only, or how long they’ll take to make a purchase. Modeling complex dynamic systems like this effectively by any other method isn't possible. Many organizations combine simulation with Lean Six Sigma principles to improve quality and reduce waste.
Business challenges solved by simulation software
Common Types of Simulation
Simulation includes several modeling approaches used to analyze different kinds of systems and decisions.
Organizations choose different simulation methods depending on the system they want to understand and the level of detail they need. Discrete event simulation is often used for process flows and resource utilization, while agent-based simulation focuses on the behavior and interaction of individual people or entities. Continuous simulation helps model systems that change constantly over time, and hybrid simulation combines methods to reflect both operational detail and broader system behavior.
Discrete Event
Models a process as a sequence of steps or events over time, making it useful for workflows, queues, and resource planning.
Agent-Based
Models the behavior and interaction of individual people, vehicles, machines, or other entities within a system.
Continuous
Models systems that change continuously over time, such as the flow of liquids, energy, or materials.
Hybrid
Combines two or more simulation methods in one model to reflect both detailed process behavior and broader system dynamics.
What is digital simulation?
Digital simulation is the use of computer-based models to represent how a real-world system behaves over time. It allows teams to test changes, compare scenarios, and understand likely outcomes in a virtual environment before making decisions in the real world.
Compared with static tools such as spreadsheets or flowcharts, digital simulation can reflect variability, resource constraints, and changing conditions more realistically. That makes it especially useful for analyzing complex processes in areas such as manufacturing, healthcare, logistics, and service operations.
What are the benefits of using simulation?
From day to day decisions to future strategy, there are many great benefits of using simulation.
Simulation is less costly than real life experimentation
Experimenting in the real world carries a range of potential costs. There’s not only the capital expenditure of changing process, hiring new staff or purchasing new equipment, but also costs associated with the consequences of these decisions.
For example, if you reduce staffing, but can't then cope with the workload, you could lose customers, revenue and market share.
By thoroughly testing changes with simulation ahead of implementation, you can avoid costly mistakes. Many Simul8 users have seen return of investment in millions of dollars.
Test different ideas under the same circumstances
When testing changes in real life, it's difficult to repeat the exact circumstances so you might only get one chance to collect the results of an experiment.
This means you can’t easily test different ideas under the exact same circumstances and as a result, you might not get accurate information to base important decisions on.
With simulation software, you can test the same system again and again with different inputs, ensuring that any changes to processes have been thoroughly tested.
Determine the long-term impact of process changes
Although process changes may have an immediate impact in the short-term, how can you be sure that changes will also have the desired impact for the long-term?
For example, if you are hiring three more doctors with the aim of reducing patient waiting times over the next two years, you would normally need to wait two years to measure the success against investment.
With simulation, you can run two, 10 or even 100 years into the future in seconds. This provides insight to make confident decisions now, instead of when it could be too late to change the outcome if you have already invested valuable time and resources.
Simulation provides impartial insight to facilitate process improvement
Often the benefit of a simulation project comes not only from the end results of the project, but from the exploration between the start of the project and the point of getting answers to make a decision.
For example, if you ask 20 people at the start of a process improvement project, “what do you think would be the best way to improve the process?”, you could hear 20 different answers!
The value of visual and measurable tools like SIMUL8 is the ability to gain impartial insight that facilitates quality process improvement.
Determine the potential impact of random events
Other tools, such as spreadsheets, can effectively model a static scenario but what happens if you need to determine the potential impact of random occurrences throughout your system, like the effect of a machine breaking down on an assembly line, or staff absence in a hospital?
Without this random element, spreadsheet models can miss issues within the system entirely and appear as if nothing is wrong - even when the real-life system is displaying visible problems like blockages or queues.
Only simulation is capable of incorporating the randomness that occurs in real-world systems, so you can see the consequences of events being delayed by resources not being available when they are needed.
Utilize non-standard distributions
Most other techniques often force you to describe a situation approximately e.g. "it takes an average of five minutes to serve each customer". In real life this isn't the case.
It could take three minutes to serve the customer if they have four items and take seven minutes if they have 20 items. Approximating means that metrics like staff utilization and customer waiting times become inaccurate.
Simulation individually mimics every customer (or other type of transaction) that flows through the process, with the attributes that make them differ from other customers, including attributes that only occur because of how they flow through the process. By taking these into consideration, simulation behaves just like the real world.
Simulation guides thinking around processes
Simulation helps you to think about every aspect of a process. By mapping each part of the process to build a simulation, this can bring any inconsistencies and inefficiencies to the surface, particularly between different parts of a process that work independently.
As there is no limit to the degree that you can try innovative ways to improve processes, you can quickly come up with many more ideas to test and measure as a result.
Sometimes the simulation doesn't even have to be finished, the thinking it encourages can help to reveal the solution!
Improve stakeholder communication and build buy-in
As simulation is visual and animated, it enables you to clearly demonstrate the benefits of process improvement proposals to others.
It's more convincing than just displaying the end results, as stakeholders can see the process behind the results and changes that were made to help achieve them.
As stakeholders can easily understand the process changes, they also become more engaged and involved in the process, further increasing project buy-in.
As a result of this improved communication, simulation can speed up the evolution of thinking and a project can change direction to focus on what your organization or team really needs to know, rather than what they thought they wanted to know at the start of the project.
Simulation is so effective at communicating ideas that many companies, such as manufacturers and pharmaceutical suppliers, also use it as a sales tool to showcase the benefits of their products.
Learn more about simulation and Simul8
Take a look at our resources to discover how your organization can benefit from Simul8 simulation software.
Frequently Asked Questions
Simulation is the process of creating a digital model of a real-world system so you can test scenarios, predict outcomes, and improve decisions without changing the real operation. Businesses use simulation to identify bottlenecks, reduce risk, and improve performance in areas such as manufacturing, healthcare, and supply chain.
Simulation means modeling how a real-world system behaves so you can study it, test changes, and understand likely outcomes before making decisions in real life. It is commonly used to improve efficiency, reduce uncertainty, and support better planning.
A simulation is a virtual representation of a real system that lets you run experiments and compare different scenarios safely. It helps organizations understand performance, test ideas, and make better decisions without disrupting day-to-day operations.
Simulation works by building a model of a real system, adding variables such as demand, processing times, or available resources, and running scenarios to see how results change. This makes it possible to test ideas, identify constraints, and evaluate decisions before applying them in the real world.
Simulation is used to analyze processes, predict the impact of changes, reduce risk, and improve performance. Organizations use it in areas such as manufacturing, healthcare, logistics, and service operations to test ideas before investing time or money.
Simulation is a broad term for modeling a real-world system to test outcomes and support decisions. Discrete event simulation is one type of simulation that models processes as a sequence of events over time, making it especially useful for analyzing workflows, queues, bottlenecks, and resource use.