Simulation, Optimization, Planning & Scheduling
Simulation Optimization is providing solutions to important practical problems previously beyond reach. Specifically, in applications involving risk and uncertainty, Simulation Optimization surpasses the capabilities of other optimization methods, not only in the quality of solutions, but also in their interpretability and practicality.

Traditional scenario-based approaches to optimization, such as scenario optimization and robust optimization, are effective in finding a solution that is feasible for all the scenarios considered, and minimizing the deviation of the overall solution from the optimal solution for each scenario. These approaches, however, only consider a very small subset of possible scenarios, and the size and complexity of models they can handle are very limited. Simulation gives the limitless power to try various what-if scenarios. Optimization can suggest optimal scenarios, suggesting the what-if scenarios that may yield the best results.

Simulate & Optimize

FlexSim includes a built-in experimenter tool with a fully integrated OptQuest® interface for intelligent optimization . The Experimenter allows you to quickly change mutliple sets of variables and see the results. OptQuest can intelligently suggest optimized scenarios for you. OptTek's OptQuest optimization engine combines tabu search, scatter search, integer programming, and neural networks algorithms to efficiently identify ideal scenarios according to parameters you specify. OptQuest is fully integrated into Flexsim's modeling interface and is a optional add-on to Flexsim.

Business Simulation

How could we adjust a products operations if our competitors lowered their prices? How would those changes affect other products? These are important questions, and simulation software is the perfect tool. FlexSim simulation software is ideal for simulating business operations.

Project Planning Simulation

How long is this project going to take? If we go with this provider instead of the other, then will it speed up the project? Simulation software helps answer these, and many other, questions. Accurate project planning is more likely with FlexSim simulation software. Spreadsheets don’t model variation well. FlexSim is a powerful tool for understanding project variation.

Simulation Optimization for Industrial Scheduling

Many real-world production systems are complex in nature and it is a real challenge to find an efficient scheduling method that satisfies the production requirements as well as utilizes the resources efficiently. Tools like discrete event simulation (DES) are very useful for modeling these systems and can be used to test and compare different schedules before dispatching the best schedules to the targeted systems. Simulation-based optimization (SO) can be used to search for optimal schedules efficiently without the user intervention.

Experimental Design, Simulation & Optimization

Complex production systems can be analyzed combining different approaches :

  • With Design Of Experiment (DOE) it is possible analyze the dependencies between input parameters (Factors) and output performance indicators (Responses) of a given simulation model.
  • FlexSim Experimenter is the environment that automatically prepare and runs all the simulation experiments, providing Responses for each experiment.
  • FlexSim / OptQuest can eventually refine and suggest the optimized scenarios.

The major goal of experimantal desing in simulation is to determine which Factors have the greatest effect an a Response, driving process engineers on identifying the input parameters that are most effective on the system' s performance.