With our expertise in operations research (OR), we solve the most complex business problems using mathematical modeling and optimization techniques.
This allows businesses to optimize processes such as resource management, production, logistics, and supply chain, reducing costs, improving efficiency, and grounding decision-making processes on a more scientific basis.

Process Modeling
We model operational processes such as production lines, workforce planning, maintenance workflows, and material flows, offering process improvement recommendations to enhance efficiency. Through process simulations, we help businesses identify and optimize operational bottlenecks and inefficiencies.

Project Modeling
We provide project modeling and scheduling solutions to ensure projects are completed on time and within budget. Using approaches like the Critical Path Method (CPM) and Program Evaluation and Review Technique (PERT), we model project phases to optimize time and resource management.

Capacity Modeling
We develop models to support production planning and capacity management processes. By optimizing production scheduling, workforce planning, and machine capacity utilization, we help businesses enhance their production processes.

Demand Forecast Modeling
With our demand forecasting models, we develop predictive analytics and inventory optimization solutions. Using dynamic inventory models and demand forecasting algorithms, we optimize inventory levels to minimize costs while fully meeting customer demands.

Risk Modeling
We offer risk modeling solutions that analyze potential risks and evaluate their possible impacts on businesses. By conducting detailed modeling in areas such as financial risks, operational risks, and project risks, we ensure businesses are well-prepared for these challenges.

Financial Modeling
We provide reliable tools for evaluating future financial scenarios in processes like cash flow projections, capital budgeting, portfolio optimization, and profitability analyses. Additionally, we enhance investment decisions with risk analysis and return/risk balance models to make them more strategic.