Why the current approach does not scale
Multi-line, high-mix SMT environments are constrained by material readiness, stencils, feeders, programs, line capability and due dates. Manual planning struggles to balance delivery and setup efficiency.
For multi-line SMT environments with frequent changeovers, combines material readiness, programs, stencils, feeders, line capability and due dates in finite-capacity scheduling to reduce setup and improve delivery stability.

Multi-line, high-mix SMT environments are constrained by material readiness, stencils, feeders, programs, line capability and due dates. Manual planning struggles to balance delivery and setup efficiency.
Model SMT lines, programs, stencil/feeder resources, material readiness and priorities as constraints. AiPS creates finite-capacity plans, groups similar products/processes to reduce changeovers, and rapidly reschedules around shortages or rush orders.
AiPS solves the schedule; DataEx Hub connects demand, material and execution data from ERP/MES/WMS; AI Copilot can explain shortages, due-date risk and bottlenecks.
Fewer SMT changeovers and less manual planning time
Better line balance and OTD
Faster impact assessment when shortages change
Explainable and verifiable schedules
Load orders and material readiness, enable stencil/feeder/line constraints, and compare due-date-first versus minimum-changeover strategies.
Book a product demo or talk with a GT manufacturing digitalization consultant.