Public utilities managers are struggling with high complex challenges as they are responsible for high value processes. Business analytics' systems have been helping decision makers to grasp market opportunities while meeting operational needs.
Forecasting, simulation and math optimization
Forecasting, simulation and math optimization are at the forefront of business analytics. They support important decisions and critical processes while curbing risks due to process volatility as well as exploiting the max profit.
When it comes to compare and rank alternative choices including costs, constraints, volatility and system interdependencies, with simulation technology you can create a mirror's image of logistics and manufacturing processes. With statistical forecasting and stochastic optimization, system behaviour can be seen before its execution to maximize investment returns while taming risks.
Segments
- Planning and scheduling of petrol refuelling
- Waste disposal optimization
- Metering reading optimization
- Plants process and logistics process simulation
- Gas demand forecasting
- Risk management (with simulation and stochastic optimization).
ACT Solutions' references
At ACT Solutions we have been working with top performing players in the Energy&Utilities segment through direct and indirect engagements providing customers with proprietary and third parties technologies.
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ACT Solutions products portfolio
- OCEAN Planner: maritime transportation optimization and scheduling
- OPT Net, BEST Shipping and BEST Tour design your supply chain and optimize distribution and transportation
- ARENA and SIMIO: the world's leading simulation software applications.
- BEFORE is the ACT Solutions' proprietary statistical tool for demand forecasting and revenue management
The offering includes SAS' powerful analytical and statistical tools which can be integrated with ACT Solutions' optimization and forecasting engines.
ACT Solutions provides customers with specialist support by building bespoke simulation models and implementing the most modern math optimization algorithms. |