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[Whitepaper] Performance, Language, IDE, and Beyond – AIMMS vs. Python for Mathematical Optimization. Download your copy!

Industry: Cross Industry

Common ways mathematical optimization is applied across industries

prescriptive analytics

Demand and Supply Planning

Improve collaboration, balance inventory levels and improve agility in the supply planning phase with scenario modeling and optimization.

Supply Chain Network Design

Design and optimize your supply chain network. Make confident investment decisions, lower costs by 2% or more, mitigate risks and improve service levels.

Sales & Operations Planning

Improve Sales & Operations Planning with prescriptive analytics and scenario modeling capabilities. Drive alignment and collaboration; optimize business results.

Strategic Workforce Planning

Optimize your strategic workforce plans to ensure you meet workforce requirements in the future. Use scenarios to make informed hiring decisions.

Production Planning & Scheduling

Respond quickly to changes in demand and boost efficiency in your production process. AIMMS customers have achieved up to 90% improvement in plant utilization.

Material Blending

Optimize raw material blends to improve capacity and asset utilization. Increase margins with advanced decision support.

Maintenance Planning

Ensure equipment utilization and boost operational capacity. Build AIMMS-based applications to optimize maintenance schedules.

cargo-fleet optimization

Transportation Planning & Optimization

Maximize fleet utilization with more advanced planning capabilities. Improve service levels and lower costs by 2% or more.

Implementing Sustainability with Effective Supply Chain Network Design

Learn how to optimize for carbon emissions and other sustainability objectives using scenario modeling.