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Use CaseManufacturing & Industrials / Manufacturing

Optimise complex manufacturing process in real time eg determine where to dedicate resources to reduce bottlenecks and cycle time

Optimise complex manufacturing process in real time, for example to determine where to dedicate resources to reduce bottlenecks and cycle time. Resources might include automated factor input, machine re-alignment or signal for necessary human intervention.

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Operational
Operational - Faster response times
£
Cost
Cost - Staff efficiency
£
Cost
Cost - Optimise resource allocation
£
Cost
Cost - Asset uptime optimisation
Description

Optimise complex manufacturing process in real time eg determine where to dedicate resources to reduce bottlenecks and cycle time

Benefits & ROI

1.1

Linked Case Studies
Case Study
Tesla Inc
Tesla falls more than 15% short of Model 3 production goal due to over-automation of the production line
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Case Study
Repsol
Repsol plans partnership with Google Cloud to use machine learning to optimise crude oil refinery management
→
Case Study
Deschutes Brewery
Deschutes Brewery decreases beer fermentation cycle time using machine learning to optimise scheduling and monitoring of brewing processes
→
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Source: mckinsey.com · Editor: original-sdg
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