Build a weighted supplier scorecard from quality, delivery, price, and responsiveness scores. Calculate overall supplier rating.
A supplier scorecard combines multiple performance metrics into a single weighted score, enabling objective comparison and ranking of suppliers. Typical dimensions include quality (PPM, reject rate), delivery (OTD, lead time), price competitiveness, and responsiveness (communication, issue resolution).
Each dimension receives a weight reflecting its importance to your organization — a company where on-time delivery is critical may weight delivery at 40%, while another focused on quality may weight it at 35%. Individual dimension scores (typically 0-100) are multiplied by their weights and summed to produce the overall score.
This calculator lets you assign weights to four supplier performance dimensions, enter scores for each, and compute the weighted overall score for objective supplier evaluation and comparison.
Precise measurement of this value supports data-driven planning and helps manufacturing professionals make informed decisions about resource allocation and process optimization strategies. Quantifying this parameter enables systematic comparison across time periods, shifts, and production lines, revealing patterns that might otherwise go unnoticed in routine operations.
Gut feelings about suppliers are unreliable. A scorecard provides objective, data-driven evaluation that supports better sourcing decisions, identifies improvement areas, and gives suppliers clear feedback on what matters most to your business. Consistent measurement creates a reliable baseline for tracking improvements over time and demonstrating return on investment for process optimization initiatives.
Overall Score = (Quality Score × Quality Weight) + (Delivery Score × Delivery Weight) + (Price Score × Price Weight) + (Responsiveness Score × Responsiveness Weight) Weights must sum to 100%.
Result: 83.25 overall score
(85 × 0.30) + (90 × 0.30) + (75 × 0.25) + (80 × 0.15) = 25.5 + 27.0 + 18.75 + 12.0 = 83.25. This supplier rates as "Good" and qualifies as a preferred supplier.
Start with a small number of clearly defined, measurable dimensions. Each dimension should have objective data sources — PPM from inspection records, OTD from receiving logs, price from market benchmarks. Subjective dimensions like responsiveness can be scored via structured surveys completed by purchasers and engineers.
A scorecard is only valuable if it drives action. Top-scoring suppliers should be rewarded with increased volume and preferred status. Low-scoring suppliers should receive formal improvement plans with clear timelines. Suppliers who consistently underperform despite support may need to be replaced.
The conversation around the scorecard is as important as the number. Quarterly business reviews where both parties discuss performance, challenges, and improvement plans build the collaborative relationship that drives long-term supply chain excellence.
Quality, delivery, price, and responsiveness are the most common. Some organizations add innovation, sustainability, financial stability, or compliance as additional dimensions based on their strategic priorities.
Define scoring ranges for each metric. For example, OTD: 98%+ = 100, 95-98% = 90, 90-95% = 75, <90% = 50. Use a consistent scale so scores are comparable across dimensions.
Weights reflect strategic priorities. A typical distribution: Quality 25-35%, Delivery 25-35%, Price 20-30%, Responsiveness 10-20%. The sum must equal 100%.
Quarterly is standard for formal reviews. Monthly tracking of individual KPIs keeps the data fresh. Annual reviews summarize the full year for sourcing strategy decisions.
Use results for supplier tiering (preferred/approved/probation), sourcing decisions, identifying improvement opportunities, supplier recognition programs, and contract renewal discussions. Running this calculation with a range of plausible inputs can help you understand the sensitivity of the result and plan for different scenarios.
Only if the same weights and scoring criteria are used. Different commodity categories often have different weights (e.g., delivery is more critical for JIT parts than for MRO supplies).