AI Master Production Scheduling
This AI solution uses AI agents, large language models, and advanced optimization (including quantum and reinforcement learning) to generate and continuously adapt master production schedules in manufacturing. It balances capacity, due dates, maintenance, and sustainability constraints while coordinating across machines, lines, and plants. The result is higher on-time delivery, lower WIP and inventory, and more resilient, efficient production plans that respond quickly to real-world disruptions.
The Problem
“Continuously optimized master production schedules that adapt to disruptions”
Organizations face these key challenges:
Schedulers spend hours daily reconciling ERP/MES data and manually re-planning after disruptions
Late orders and expediting costs due to infeasible or outdated capacity assumptions
High WIP/inventory from conservative planning buffers and poor bottleneck sequencing
Maintenance, labor, and sustainability constraints are handled informally and inconsistently