Discrete Event Simulation

Unlock hidden insights and transform data into action with Discrete Event Simulation

DES is a computational modeling technique that involves the modeling of a series of events that occur at discrete points in time
DES is used to simulate and analyze complex systems to gain comprehensive understanding of systems and the interactions between different elements, allowing businesses to make informed decisions based on a range of scenarios

Why Use Discrete Event Simulation?

Data-driven approach: Transform complex systems into clear data driven solutions
Reduce risk: Mitigate unexpected consequences and costly mistakes before implementation
Optimize resources: Allocate resources such as manpower, materials, and equipment, to increase efficiency and cost savings.
Improve understanding: Accurately represent the real-world behavior of systems, providing valuable insights and predictions
Make informed decisions: Evaluate different design options, operational strategies, and policy decisions

Industries that Benefit from Discrete Event Simulation

Automotive
Manufacturing
Warehouse and Logistics
Healthcare
Food and Beverage
Pharmaceutical
Banking
Restaurants

Why PMI?

One-stop solution for industrial engineering & simulation needs
Global industrial exposure spread across India, USA, Mexico, Brazil, China, Thailand, and Europe.
Team of domain experts and trained professionals
Proven track record
- Successfully completed 1000+ projects

PMI Discrete Event Advantages & Benefits

Our experts don’t just build models, we build active, performing systems.

Adapt quickly to growing and fluctuating demand
Evaluate system readiness for new product introduction
Quantify impact of operational uncertainties such as downtimes
Analyze proposals for facility growth
Validate operational rules
Overcome frequent material shortages & line stoppages
Provide insights to increase ROI

Our Experts

With over 30 years of experience with simulation technology and software, PMI brings knowledge and experience to your project. We employ highly experienced team members who possess a wealth of knowledge in multiple industries. Let our qualified specialists help meet your needs!

Software & Technologies

Related Service: Industrial Engineering with Simulation Services

In industrial engineering, simulation is used to analyze and evaluate spaces in terms of performance, dimensions, throughput times, capacities, staffing requirements, and other planning parameters. The visual representation capabilities of simulation also make it possible to compare different scenarios for a space and evaluate their effectiveness.

PMI offers simulation services to a wide range of clients, including warehouses, manufacturing plants, and automotive companies. The ability to test processes and explore "what-if" scenarios before implementation can help prevent costly mistakes and aid in making informed decisions.

Industrial Engineering with Simulation Services

Frequently Asked Questions for Discrete Event Simulation

What is Discrete Event Simulation?

Discrete Event Simulation (DES) is a modeling and analysis technique used to simulate the behavior of complex systems over time. It is used to understand the relationships between inputs and outputs in a system, and to evaluate potential changes or improvements to the system.

In what situations is discrete event simulation useful?

Discrete event simulation is a powerful tool for optimizing system design, identifying bottlenecks, and evaluating the impact of changes to the system. It can be used for developing new production lines, building new production facilities, ergonomics, urban planning, robotics, in healthcare settings, and in reducing the time it takes warehouses to pick products.

What type of system can discrete-event simulation analyze?

Discrete Event Simulation can help across a variety of markets such as healthcare, manufacturing and logistics, energy response systems, and social systems.

What are the benefits of using DES for decision making?

DES provides valuable insights into system behavior, which can be used to make informed decisions about how to improve the system. It can be used to evaluate the impact of different inputs and configurations, to optimize system performance, and to identify bottlenecks or areas for improvement.

Can DES be used to predict the future of a system?

DES can be used to make predictions about the future behavior of a system based on past behavior and the relationships between inputs and outputs in the system. However, it is important to keep in mind that DES simulations are not perfect predictions of the future, but rather provide a best estimate based on available data and model assumptions.

What types of systems can be modeled using DES?

DES can be used to model a wide range of systems, including manufacturing and production systems, supply chain and logistics systems, healthcare systems, and transportation systems, among others.

What are the prerequisites for designing a DES model?

To design a DES model, it is important to have a clear understanding of the system being modeled, including its inputs, outputs, and behavior over time. It is also helpful to have data about the system, such as historical records of events and measurements, to support model design and validation.

How long does it take to build a DES model?

The time required to build a DES model can vary widely depending on the complexity of the system being modeled, the amount of data available, and the experience of the modeler. On average, it can take several weeks to several months to build a DES model, but the exact timeline can be influenced by a number of factors.

Can DES be used for real-time simulations?

. DES can be used for real-time simulations, but this depends on the complexity of the system being modeled and the computational resources available. For some systems, real-time DES simulations may not be feasible, but for others, real-time simulations can be performed with the appropriate hardware and software.

What is the accuracy of DES simulations?

The accuracy of DES simulations depends on the quality of the data used to build the model and the accuracy of the model itself. With appropriate data and careful model design and validation, DES simulations can provide very accurate results, but accuracy can be impacted by a number of factors, including model assumptions and the limitations of the data used.

How can the results of a DES simulation be used in decision making?

The results of a DES simulation can be used in a variety of ways to inform decision making. For example, they can be used to evaluate the potential impact of different inputs or configurations on system performance, to identify bottlenecks or areas for improvement, or to compare the performance of different systems or strategies.