Calculate final yield — the ratio of good units shipped to total units started. Measure end-to-end manufacturing output including rework.
Final yield measures the percentage of units that ultimately ship as good products from the total number of units started in production. Unlike first pass yield, final yield includes units that were reworked and subsequently passed inspection. It represents the true output efficiency of your manufacturing operation from a shipping perspective.
Final yield is important for production planning and capacity calculations because it tells you how many units you must start to meet a given shipment requirement. If final yield is 96%, you need to start approximately 1,042 units to ship 1,000. This directly impacts material ordering, scheduling, and labor planning.
This calculator takes your total units started and good units shipped to compute final yield, scrap rate, and the number of lost units, providing essential data for production planning and continuous improvement.
Integrating this calculation into regular operational reviews ensures that key decisions are grounded in current data rather than outdated assumptions or rough approximations from the past.
Final yield is a key input for production planning, capacity modeling, and material forecasting. It tells you the overall output efficiency of your factory and helps set start quantities to meet shipment commitments reliably. Data-driven tracking enables proactive decision-making rather than reactive problem-solving, ultimately saving time, materials, and labor costs in production operations.
Final Yield (%) = (Good Units Shipped / Total Units Started) × 100 Scrap Rate (%) = 100 − Final Yield Scrapped Units = Total Units Started − Good Units Shipped Start Quantity Needed = Required Shipment / (Final Yield / 100)
Result: 96.0% final yield
Out of 5,000 units started, 4,800 were shipped as good products. Final yield = 4,800 / 5,000 × 100 = 96.0%. 200 units were scrapped (4% scrap rate). To ship 5,000 units, you would need to start approximately 5,208 units.
Accurate final yield data is essential for setting production start quantities. Under-estimating yield leads to shortages; over-estimating leads to excess inventory. Many MRP systems accept a yield factor per routing step to automatically inflate planned orders.
Scrapped units consume material, labor, and machine time up to the point of rejection. If a unit is scrapped at step 8 of 10, you lose the cost of all seven preceding operations. This sunk cost makes late-stage scrap especially expensive.
Start by Pareto-analyzing scrap reasons. Address the top two or three contributors with root cause analysis (5 Whys, fishbone diagrams). Implement corrective actions, verify with data, and standardize. This PDCA cycle, repeated consistently, drives final yield steadily upward.
First pass yield counts only units that pass without rework. Final yield includes all units that eventually ship, including those that were reworked. Final yield is always greater than or equal to first pass yield.
If final yield is 95%, you need to start more units than you plan to ship. Start quantity = Ship requirement / (Final Yield / 100). This impacts material ordering, machine scheduling, and labor planning.
Final yields above 98% are common in mature processes. Complex assemblies might see 92–96%. Industries with very tight tolerances (semiconductors, aerospace) may have lower yields on new products but improve over time.
No. Final yield should compare completed good units (shipped or ready to ship) against total units started. Units still in process have not been fully evaluated and should be excluded until complete.
Focus on improving first pass yield at the weakest process step. Investing in prevention (better training, improved tooling, mistake-proofing) reduces both rework and scrap more sustainably than increasing inspection.
Typically no. Final yield measures factory output. Customer returns appear in external quality metrics like customer PPM, warranty claim rate, or complaint rate. Tracking both gives a complete quality picture.