Barry Callebaut

Barry Callebaut, one of the world's largest chocolate and cocoa manufacturers, operates a complex global production network supplying premium chocolate to major food brands and industrial customers. Across its facilities, production lines ran without consistent, real-time visibility into Overall Equipment Effectiveness (OEE) — the composite measure of availability, performance, and quality that drives throughput decisions. Without standardized OEE data flowing from each line, plant managers relied on manual reporting and lagging indicators to assess production health. This gap made it difficult to identify chronic downtime contributors, compare line efficiency across shifts, or prioritize maintenance investment — leaving potential production capacity unrealized.

Barry Callebaut partnered with Rockwell Automation to deploy an OEE tracking solution tailored to the precision demands of chocolate manufacturing. Rockwell Automation's FactoryTalk platform was integrated with existing production control infrastructure to capture real-time machine states, downtime events, and quality reject data directly from the line. The system aggregated availability, performance, and quality metrics into a unified OEE dashboard accessible to operators, shift supervisors, and plant leadership. Rather than replacing existing automation, the implementation layered analytics capabilities on top of current PLCs and HMIs, reducing deployment friction. The solution provided structured loss categorization — distinguishing planned stops, unplanned breakdowns, speed losses, and quality losses — enabling root-cause analysis that raw throughput data alone could not support.

Deployment of the OEE tracking system gave Barry Callebaut standardized, real-time visibility into production performance across chocolate lines for the first time. Key outcomes included:

• Consistent OEE measurement across shifts and lines, replacing fragmented manual reporting
• Structured downtime categorization enabling maintenance teams to prioritize interventions based on loss frequency and impact
• Improved shift handover quality, as operators could review actual performance data rather than anecdotal summaries
• Foundation for continuous improvement, with loss trends now visible over rolling time periods

The move from reactive to data-driven performance management positioned Barry Callebaut to track improvement initiatives with measurable baselines.

• OEE is only actionable when loss categories are structured consistently — generic downtime buckets obscure the root causes that drive improvement.
• Integrating analytics on top of existing automation (rather than replacing it) significantly lowers deployment risk in complex food manufacturing environments.
• Standardizing measurement methodology across shifts is a prerequisite for meaningful line-to-line benchmarking.
• In premium food manufacturing, quality loss tracking within OEE is as critical as availability and performance — rework and rejects carry outsized cost.
• Executive-level visibility into OEE data changes the conversation from anecdotal production updates to evidence-based capacity planning.