Events simulation is an imitation of a real system in a computer environment. It is used to support decision making in almost all kinds of logistics and there are a lot of reasons to use it, like help in understanding the system behavior and exploit different scenarios without real effects.

The simulation that Slefty do is a discrete one which means that it is better applied to industries with separable and well-identified products that can be counted as units. There are a lot of industries that can fit, like:

·        Automotive: Simulation of assembly lines;

·        Electronics: Simulation of assembly lines;

·        Pharmaceutical: Simulation of production lines and distribution;

·        Health: Simulation of people inside hospitals and clinics;

·        Metallic and mineral products: Extraction and transformation simulation;

·        Military and Government: Simulation of people inside public buildings and material handling/ transportation;

·        Aviation: Air traffic simulation;

·        Retail: Simulation of people inside a shop;

 

There are much more fields where the simulation can be applied. In any production line where the products can be well identified, like in paper or wood industries, we can optimize and simulate. There are other industries where due to the product they have, it’s difficult to achieve good results with the simulation, like for example the oil and gas industry.

The simulation cannot be useful if it is easier to do experiences (trial and error) in reality than in a computer environment and if the company can solve the problems in an analytic way. It’s also difficult to achieve good results when you have a very complex system in real and the human behavior has a big role there.

The simulation can introduce the aleatory impact in the results of a system, avoiding the static results that managers can have when they do the calculation in an excel spreadsheet. Understand, plan and control materials, information, and People is easier to do with simulation. If it’s possible to measure, it’s possible to manage!