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Supply Chain Metrics – Page 2

Supply Chain metrics and KPIs measure how efficiently goods move from supplier to customer. Explore definitions, formulas, and benchmarks for tracking delivery performance, fill rate, and supply chain costs.

Default directory · A–Z · 16 metrics

On-Time In-Full

On-Time In-Full (OTIF) delivery rate measures the percentage of orders delivered both on the promised date (or within the agreed time window) and complete with all requested items in the correct quantities. It combines punctuality and completeness into a single metric that reflects successful order fulfilment from the customer's perspective.

Perfect Order Rate

Perfect Order Rate measures the percentage of orders that are delivered without any errors, such as missing items, incorrect quantities, or damaged goods. It reflects the overall accuracy and quality of order fulfillment. The Perfect Order Rate (POR) is an essential supply chain metric that measures the effectiveness of an organization’s order fulfillment process. It is calculated by determining the percentage of orders that are executed flawlessly, without any errors or issues. Considered from a customer's perspective, a perfect order is one that arrives on time, contains the right items in the correct quantities, is delivered to the right place, and is accompanied by the correct invoicing.

Scrap Rate

Scrap Rate is the ratio of discarded units or material to the total production run, expressed as a percentage. It includes both waste material and production rejects — any output that cannot be used or sold. Scrap Rate is one of the most important quality metrics in manufacturing, typically measured in units, pieces, weight, or volume. Tracking and reducing Scrap Rate lowers raw material costs, improves throughput, and reduces industrial waste.

Stockout Rate

Stockout rate is the percentage of times a product is unavailable when a customer or production process needs it. A high stockout rate signals gaps in inventory planning, leading to lost sales, customer attrition, and — in manufacturing — costly production delays. Tracking this metric helps businesses understand how reliably their inventory meets demand.