SimEvents Reviews

With SimEvents you can study the effects of task timing and resource usage on the performance of distributed control systems, software and hardware architectures, and communication networks. The best part of sim events is that it simplifies the visual conceptualization of the system to be implemented, and the number of statistical analysis and plotting functions within the Matlab environment..

The user interface can for sure be more intuitive and easier for beginners to navigate.

It is a good tool for the complex simulations and iterating them across scenarios. Can get consistent results and apply them across.

Used it across automotive manufacturing industry as part of the project management team where we are working on the integration of the production control & management teams and ensuring our models are efficient and optimized. Also conducted operational research for decisions related to forecasting, capacity planning, and supply-chain management.

Easy to Use & Simplifies Simulation greatly. The best part of sim events is that it simplifies the visual conceptualization of the system to be implemented, and the number of statistical analysis and plotting functions within the Matlab environment..

It's complex for beginners to get a hang of and the interface can be made simpler in terms of navigation & ease of use.

It is a good tool for the complex simulations and iterating them across scenarios. Can get consistent results and apply them across.

Used it across automotive manufacturing industry as part of the project management team where we are working on the integration of the production control & management teams and ensuring our models are efficient and optimized. Also conducted operational research for decisions related to forecasting, capacity planning, and supply-chain management.

SimEvents provides a discrete-event simulation engine and component library for analyzing event-driven system models and optimizing performance characteristics such as latency, throughput, and packet loss. Queues, servers, switches, and other predefined blocks enable you to model routing, processing delays, and prioritization for scheduling and communication.

Your computer need at least 4GB RAM to run a typical simulation fast enough

With SimEvents you can study the effects of task timing and resource usage on the performance of distributed control systems, software and hardware architectures, and communication networks.

The best part of sim events is that it simplifies the visual conceptualization of the system to be implemented, and the number of statistical analysis and plotting functions within the Matlab environment.

It's complex for beginners to get a hang of and the interface can be made simpler in terms of navigation & ease of use.

I've used it as part of the project management team in aerospace manufacturing where we are working on the seamless integration of the production control & management teams and ensuring our models are efficient and optimized.

So If we have to iterate around 1000 iterations for different condition. If we can write a program once then 1000 iterations would be done in minutes. So thats the most liked feature in this tool

The most disliked tool its not a user friendly we have to remember all the syntaxes very well or else it will throw errors which cant be fixed that easily

So when I was working on foot step power generation system. I have to iterate for different loads so calculating result each with formulae is a waste of time so i used this tool to iterate various results by writing the code once

The best part i find is the drag and drop interface it provides for building discrete event models which can be used as input in tools like simulink

user interface is a little confusing to stat with but slowly getting hands on is not hard

Have used it in a project to create hybrid and multi domain systems which has time and event based components