Real-World Example: Sawmill Operation
A softwood sawmill processes 50,000 BF of logs daily. LumberSuite's yield analysis shows that pine logs from Supplier A average a 52% recovery rate while Supplier B logs average 47%. Over a month, that 5% difference represents 75,000 BF of additional lumber from Supplier A — worth approximately $30,000. The data helps the procurement team negotiate better pricing with Supplier B or shift volume to Supplier A.
Frequently Asked Questions
What inputs does yield analysis use?
LumberSuite yield analysis compares input board footage (or log scale) from work order components against output board footage from finished production. Both values come from your normal NetSuite work order transactions.
Can I track yield by species and grade?
Yes. LumberSuite allows yield analysis by species, grade, dimension, supplier, and time period. This multi-dimensional view helps identify exactly which products and sources deliver the best recovery rates.
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Lumber Yield Analysis for NetSuite
LumberSuite's yield analysis tools help lumber manufacturers and sawmill operators track, analyze, and optimize their production yields within NetSuite. Compare input log volume against finished lumber output, track recovery rates by species and grade, and identify opportunities to improve yield.
Why Yield Analysis Matters for Lumber
In the lumber industry, yield is everything. The difference between a 45% and 50% recovery rate on a sawmill operation can mean millions of dollars annually. But tracking yield requires connecting log input data with finished product output — across different units of measure and through multiple production steps. LumberSuite handles this complexity within NetSuite.
Key Capabilities
Input vs. Output Tracking
Track input board footage (or log scale) against output board footage for every production run. LumberSuite calculates recovery rates automatically and highlights variances from expected yields.
Species & Grade Analysis
Analyze yields by species, grade, and dimension. Identify which products deliver the best recovery rates and which need optimization.
Trend Monitoring
View yield trends over time to detect equipment wear, blade dulling, or process drift before they significantly impact production efficiency.
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