Simulation Models

A company integrates a system of linked activities to achieve one or more economic goals. These goals can be set by using varying degrees of technical analysis, ranging from plain intuition to a thorough study of the market sector. A strategy to accomplish such goals is usually outlined in order to define products and methods for producing them.

The development of Mathematical Simulation Models is a modern analytical technique that can be used at various stages of the assessment of alternative production strategies.

In the past, such strategies were compared by using indicators such as Return on Investment, and other performance measures, based on static calculations. However, considering the simulation techniques available, process flows and activities under study can be dynamic, Generating a thorough analysis of the costs and risks of human and material resources expended in production under certain conditions is created. Alternative business strategies for accomplishing specific goals can then be compared in order to choose the best one.

Simulation is the study of a process through observation of the behavior of a model, over time, in response to a pattern of inputs.

Quantum uses modern modeling systems with linear, whole linear and mixed linear programming algorithms. In addition, Quantum has developed numerous models with dynamic programming.

Among the applications of the models developed by Quantum are:

  • Wholesale Electricity and Natural Gas Market Simulation.
  • Optimization and Planning Models.
  • Support to Agents for the Electricity and Natural Gas Sale and Purchase in spot markets and long term contracts.
  • Electricity Generation Project Evaluation.