Logo atoptima


Operating margins can be improved thanks to manufacturing process optimization. Production management and capacity planning should rely on optimization intelligence to improve productivity while complying with inventory constraints.


  • Momentum of decisions due to fixed-costs involved in the launch of a product line and opportunity costs of an interruption of the production.
  • Inventory management due to supply & demand volatility and inventory costs and perishableness.
  • Pressure on profit margins due to major operating expenses and stiff competition.


  • Increased operational efficiency
  • Smoothing workload
  • Product mix optimization
  • Optimized inventory
  • Systemic and high-level data-driven decision support
  • Robust solutions to face random events
  • Cut production costs
  • Synergies in using resources (workforce & machines)

Use cases

Dynamic Lot-Sizing

Product mix planning with set-up times and strict inventory constraints.

Cutting-Stock Problem

Optimization of the production of standard-sized pieces minimizing wastes.

Workforce Scheduling

Robust planning for workforce scheduling with both strict and flexible constraints.

In practice

Production Planning Inventory Planning Product Mix Planning Supply Planning Maintenance Planning Supply Chain Design Inventory Positioning Workforce Scheduling Machine Scheduling 3D Packing