Global discrete manufacturer

Anonymized enterprise pattern: multi-plant demand planning and predictive maintenance brought onto one knowledge-graph fabric with live ERP and MES � so asset risk reshapes the schedule, not a side CMMS dashboard.

Context

A multi-plant discrete manufacturer ran demand and capacity in twin spreadsheets. Maintenance lived in CMMS. Expedites were meeting theater. No customer is named; outcomes are qualitative.

Challenge

• Forecasts ignored live downtime and routing constraints.
• Asset risk never reshaped the master production schedule.
• Planners and maintenance argued from different truths.

Approach

• Mapped BOM, routing, and work centers into the supply chain brain.
• First modules: master data health, demand planning, predictive maintenance linked to capacity.
• Planner-approved write-back so the next pass measured what changed.

Outcomes (qualitative)

One executable plan object. Fewer firefights between planning and maintenance. Clearer next-best actions for expedite vs wait.