Increasing Throughput by 11% Through Optimal Order Quantity Design

This case study shows how Adonis Partners helped a beverage manufacturer stabilize efficiency and improve throughput by establishing optimal manufacturing order quantities across SKUs.

Real-World Manufacturing Order Quantity Optimization Results

This engagement focused on stabilizing manufacturing efficiency by aligning shop order sizes with true economic drivers. By integrating manufacturing and supply chain decision-making, the organization improved throughput, reduced variability, and established a more disciplined planning model.

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Increase in Production

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Net Operational Cost Savings

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Gross Savings

The challenge

A leading beverage manufacturer struggled with inconsistent case fill rates and sub-optimization between manufacturing and supply chain operations. Operational efficiency fluctuated significantly, ranging from 62 percent at its best to as low as 53 percent, driven largely by inconsistent shop order sizes and frequent changeovers.

These inefficiencies created instability in production schedules and made it difficult for teams to sustain performance. Leadership engaged Adonis Partners to determine how order quantities could be optimized to improve efficiency while balancing manufacturing and supply chain tradeoffs.

The optimal order quantity approach

Adonis Partners began with a detailed diagnostic of existing data and planning practices, working closely with a cross-functional team spanning manufacturing and supply chain. Together, the team developed an optimal manufacturing order quantity model at the SKU level.

The model incorporated key economic drivers, including changeover costs, labor requirements, carrying costs, and cost of capital. Safety stock levels were integrated into the analysis, and historical criteria for minimum order quantities were reevaluated to ensure planning decisions reflected actual operational and financial impacts.

This data-driven approach aligned manufacturing and supply chain teams around a shared set of decision rules.

The impact

Implementation of the optimal order quantity model delivered measurable improvements. Production throughput increased by 11 percent, generating a net savings of $38,000. These savings included $36.9k related to incremental changeover costs, $53.5k in storage savings, and $21.1k from reduced carrying costs.

Beyond the financial results, the optimized process stabilized operational efficiency and reduced variability in production schedules. Improved coordination between manufacturing and supply chain teams delivered immediate benefits and established a foundation for sustained process excellence.

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Beverage Manufacturer

Scale: $154M Annual Revenue

Generated $38k in net operational cost savings

Engineered a tailored SKU-based order quantity model

Grew production throughput by 11%