OR-AS develops Applications and Solutions in the domain of Operations Research. We help our clients in the optimisation of complex business processes through our expertise in quantitative data analysis, optimisation and simulation.

We strive to an excellent combination of your knowledge of your business and our experience in quantitative data analysis and decision making modelling, to obtain a tailor-made application or an integrated solution to optimise your business decisions.

Our specific approach and methodology is a well-balanced combination between academic and theoretical knowledge and practical experience. The field of Operations Research is applicable to many complex business processes. Our approach is a combination of data analysis, simulation and optimisation.

Data analysis Simulation Optimisation
Analyse your data, define the main decision-making variables, identify relations between parameters and create reliable forecasts by means of probability calculations and statistical tools and techniques. Investigate alternative scenarios and various business options, estimate and measure risk, test improvement scenarios and generate robust solutions. Optimise your business processes, search for the best possible solution of a complex system, generate an intelligent operational computer system and enumerate a infinitely large amount of alternative decisions.
Methodology
  • Regression
  • ANOVA
  • Forecasting
  • Decision Tree Analysis
  • Monte-Carlo Simulation
  • Discrete-Event Simulation
  • Linear and Integer Programming
  • Branch-and-bound
  • Constraint Logic Programming
  • Genetic Algorithms
  • Simulated Annealing
  • Tabu Search
  • Scatter Search
  • Ant Colony Optimisation