Rapid Constraint Identification in Nutritional Supplement Manufacturing

Background:

A nutritional supplement manufacturer was experiencing persistent production instability that constrained throughput, reduced Overall Equipment Effectiveness (OEE), and increased operating costs across its manufacturing operations.

Production lines were impacted by extended changeovers, unbalanced processing cycles, excessive downtime, inefficient material movement, and inconsistent labor deployment. These conditions created recurring bottlenecks that limited output and prevented the operation from achieving expected performance levels.

Leadership required a rapid assessment to identify the primary sources of lost capacity and establish a clear path to improving operational performance. Crossover Solutions was engaged to diagnose the underlying constraints and develop targeted actions to stabilize operations and recover throughput.

Critical Issues:

• Extended changeovers reducing available production time and limiting throughput
• Excessive machine downtime impacting line performance and OEE
• Limited visibility into labor utilization and workforce effectiveness
• Undefined operator responsibilities creating inconsistent execution
• Ineffective shift handoff practices leading to communication gaps and performance variation
• Inefficient material flow contributing to bottlenecks and production imbalance
• Limited understanding of the primary drivers constraining capacity

Our Approach:

XO conducted a focused operational assessment designed to rapidly identify the largest sources of lost capacity and operational inefficiency.

Through direct observation, machine-level analysis, labor utilization studies, and production flow evaluation, the team quantified performance losses and isolated the constraints having the greatest impact on throughput. XO concentrated on the critical few issues responsible for the majority of lost production capacity, providing leadership with a prioritized roadmap for immediate action.

Key Actions:

• Conducted machine-level time studies to quantify downtime and identify primary loss drivers
• Performed detailed changeover analysis across multiple product families
• Evaluated labor deployment, operator utilization, and shift transition effectiveness
• Assessed production flow and material movement throughout the operation
• Developed a future-state facility and workflow layout to improve line balance and reduce material travel
• Identified bottlenecks limiting throughput and prioritized corrective actions based on operational impact
• Delivered a focused improvement roadmap tied directly to measurable capacity recovery

Results:

• Increased line availability by reducing downtime and improving operational discipline
• Reduced changeover complexity, improving production flexibility and equipment utilization
• Improved material flow and line balance, reducing non-value-added movement and operational congestion
• Established clearer workforce roles and responsibilities, improving execution consistency
• Provided leadership with visibility into the primary drivers of lost capacity
• Created a structured roadmap for sustained operational improvement and throughput growth