Solving large-scale optimization problems with uncertainty in Microsoft Excel has been unthinkable. The resource allocation problems faced by large enterprises have been difficult and expensive to solve, often requiring teams of experts, big development budgets, and months to years of calendar time. Often such applications are left to run overnight or over a weekend. However, simulation optimization has been slow, even on modern PCs, and even on relatively small problems involving tens to hundreds of decision variables and uncertain parameters.
#FRONTLINE SOLVER ADDITION PROFESSIONAL#
In Microsoft Excel, the leading products are Decisioneering's Crystal Ball Professional with its OptQuest optimizer, Palisade's Industrial with its Evolver/RiskOptimizer, and Frontline Systems' Premium Solver V7.0 + Risk Solver V7.0 combination, which offers by far the fastest performance in simulation optimization - often 10 to 100 times faster than its competitors.
#FRONTLINE SOLVER ADDITION SOFTWARE#
How can modern software technology best meet this need? Using Simulation Optimizationįor a number of years, software for simulation optimization has partially addressed this need. But the common feature of most high-stakes business decisions is the need to allocate scarce resources under conditions of uncertainty and risk. For the most part, they have been separate technical disciplines, with different software products leading in each category. Frontline Systems for risk analysis, and optimization for resource allocation are two powerful and commonly used analytical methods for business decision-making in leading companies.
0 kommentar(er)
