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Standardizing Downtime Visibility Across Three Beverage Facilities
Background:
A leading North American beverage manufacturer was experiencing persistent production shortfalls across multiple juice processing facilities despite having sufficient installed capacity to meet demand.Leadership recognized that output consistently lagged expectations, yet existing production reporting provided little insight into where capacity was being lost. Downtime definitions varied by facility, losses were grouped into broad categories that masked root causes, and no standardized methodology existed to compare performance across production lines or plants.
Without a fact-based understanding of performance losses, improvement efforts focused on visible symptoms rather than the underlying drivers of reduced throughput. Crossover Solutions was engaged to establish a clear picture of operational performance, identify the true sources of lost capacity, and develop a prioritized recovery strategy.
Critical Issues:
- Production output consistently below installed capacity
- Limited visibility into the true causes of lost production time
- Inconsistent downtime tracking methodologies across facilities
- No standardized framework to compare performance across lines or sites
- Improvement efforts focused on isolated events rather than systemic loss drivers
- Potential capital investment decisions being considered without understanding existing capacity utilization
Our Approach:
XO deployed experienced manufacturing practitioners across three facilities to conduct detailed production loss assessments directly at the source. The team captured and analyzed operational losses at the line level, establishing a consistent framework for measuring downtime, delays, and performance losses across the enterprise.The objective was to separate perception from reality, quantify where production capacity was being lost, and identify the highest-return opportunities for throughput improvement. By creating a common dataset across all facilities, XO provided leadership with the first true apples-to-apples comparison of operational performance throughout the network.
Key Actions:
- Conducted comprehensive delay and downtime studies across all production lines
- Classified losses by frequency, duration, root cause, and production impact
- Standardized downtime definitions and reporting methodologies across facilities
- Identified “available but not running” capacity losses hidden within existing reporting systems
- Quantified cumulative production losses associated with minor stoppages, startup delays, and changeovers
- Developed site-specific loss recovery opportunities tied directly to measurable throughput gains
- Established a consistent framework for ongoing operational performance measurement
Results:
- Exposed the true drivers of lost capacity that had previously been hidden within plant reporting systems
- Demonstrated that cumulative minor stoppages, startup losses, and changeover inefficiencies represented a greater constraint than major equipment failures
- Redirected improvement efforts toward the highest-impact opportunities for throughput recovery
- Enabled leadership to prioritize operational improvements based on quantified production losses
- Increased throughput across all facilities without requiring additional equipment or capital investment
- Established a sustainable framework for performance measurement and continuous improvement
By the Numbers
3
manufacturing facilities assessed using a common performance methodology
10%
increase in uptime across the production network
0
capital investment required to recover additional production capacity