Use case · Manufacturing & Industrial

Agentic production planning

Coordinated AI agents that re-plan production schedules as orders, materials and capacity change, with planners approving each recommendation.

The challenge

What organisations face

Production schedules are rebuilt manually whenever an order changes, a supplier is late or a machine goes down. Planners juggle ERP data, spreadsheets and phone calls, so re-planning is slow, decisions are hard to explain and the knock-on effects on other orders are not visible until it is too late.

The solution

What VulcanTech engineers

VulcanTech would build a multi-agent system in which agents monitor orders, material availability and machine status, run constraint-based optimisation and demand forecasts, and propose revised schedules with an explanation of trade-offs. Planners compare scenarios and approve changes, which are written back to ERP and MES. Every recommendation and decision is logged for continuous improvement.

Expected outcomes

What changes for the business

  • Faster response to disruption on the shop floor
  • Trade-offs between orders made visible before committing
  • Planners in control of every schedule change

Capabilities

Service lines involved

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