Sourcing KPIs

Make-Buy, Sourcing and Network KPIs: Benchmark Ranges and How to Improve Them

The KPIs that govern make-versus-buy and network decisions: how to measure each, the levers that move it, and which figures have a cited public source.

Use these benchmarks as reference points for spotting a gap, not as targets. Your own trend per category, lane and supplier says more about your network than any single published figure, so let the ranges below point you to the decision worth revisiting first.

Most figures here have no public source and are marked no cited source: they are kept exactly as originally published because no public source stating them was found, so treat them as illustrative. The figures with a superscript number come from public data on capacity use and from a published supplier rating system, and each sentence gives that source's scope.

At a glance

Make-buy, sourcing and network KPI benchmarks at a glance
KPITypicalStrongBasis
Outsourcing payback period12 to 24 months (healthy)Inside 12 months (world class)no cited source
Landed cost variance2 to 5% (typical)Within 2% of the quoted estimate (world class)no cited source
Largest supplier's share of category spend40% or more (many plants)No supplier above 20 to 25% (world class)no cited source
Single-sourced critical parts40% or more (many plants)Under 15% of the part count (world class)no cited source
Spend under management60 to 75% (typical)85 to 95% (world class)no cited source
Core-site capacity loadNot stated80 to 90% (well-run network)no cited source
U.S. manufacturing capacity utilization75.7% (national rate, August 2026)Not statedFederal Reserve1
Supplier capacity coverageNot stated120 to 130% of peak demand (target)no cited source
Management cost per supplier$4,000 to $8,000 per year (typical)Near $5,000 (healthy blended figure)no cited source
Outsourced quality PPM500 to 2,000 PPM (typical for established suppliers)Under 100 PPM (RTX Performing)Typical no cited source; strong: RTX supplier rating2
Words in parentheses give each figure's original framing or the source's scope. Not stated means the original guide gave no figure for that column. PPM is defective parts per million received. The RTX rating applies to high-volume suppliers in aerospace and defense, and other industries may set different bars2.

Method: How the figures in this guide are sourced

A figure with a superscript number is stated by the cited source, listed under Sources with its publisher, location in the document and access date, and the sentence gives its scope. A figure marked no cited source is kept exactly as originally published because no public source stating it was found. It is illustrative, not measured industry data. Worked examples show arithmetic or a scenario only and are not benchmarks.

Outsourcing payback period

Outsourcing payback period is the gating KPI for any make-to-buy move. World-class transitions clear inside 12 months no cited source, and a healthy range sits at 12 to 24 months no cited source.

From 24 to 36 months is acceptable only with a capacity or strategic rationale no cited source, and beyond 36 months the cash case rarely justifies the disruption no cited source.

Measure it as one-time transition cost divided by net annual savings after vendor management. To pull payback down, attack the transition cost.

For example, cutting dual-running from 12 weeks to 6 halves the time you pay for two sources of the same part.

How to measure

  • Add up one-time transition cost, including tooling, qualification, dual-running and approval costs.
  • Work out net annual savings after the cost of managing the vendor.
  • Divide the first by the second to get payback.

What moves it

  • Reusing existing tooling instead of duplicating it.
  • A shorter dual-running period.
  • Production part approval process (PPAP) costs negotiated into the supplier's first-year price rather than paid up front.

Screen the move before a detailed business case with the Outsourcing ROI calculator.

Landed cost variance

Total landed cost variance measures forecast discipline. World-class sourcing teams hold actual landed cost within 2 percent of the quoted estimate no cited source; 2 to 5 percent is typical no cited source.

Above 8 percent signals your model is missing drivers like duty reclassification or peak-season freight surcharges no cited source. Track it monthly per lane, comparing estimated total landed cost against actual paid.

How to measure

  • Estimate landed cost per unit for each lane, including freight, duty and clearance.
  • Record the actual landed cost paid for the same shipments.
  • Express the gap as a percent of the estimate, every month.

What moves it

  • Tighter Harmonized Tariff Schedule (HTS) classification to avoid duty surprises.
  • Indexed freight clauses so ocean spikes are anticipated.
  • Minimum-shipment discipline so fixed brokerage fees stop distorting per-unit cost on small lots.

Roll up freight, duty and clearance with the Total Landed Cost calculator.

Supplier concentration and single-source exposure

Supplier concentration and single-source exposure govern resilience. A world-class network keeps no single supplier above 20 to 25 percent of category spend and holds single-sourced critical parts under 15 percent of the part count no cited source. Many plants sit at 40 percent or more on both no cited source.

Improve it by dual-sourcing the top parts by spend and risk, but weigh the cost. Each new vendor takes roughly $4,000 to $8,000 per year to manage no cited source, on top of the cost of switching, so dual-source selectively, not everywhere.

How to measure

  • Find the largest single supplier's share of spend in each category.
  • Count single-sourced critical parts as a share of all critical parts.

What moves it

  • Dual-sourcing the top parts by spend and risk.
  • Leaving low-risk parts single-sourced where a second vendor costs more than it protects.

Estimate what each added vendor costs to manage with the Supplier Network Cost calculator.

Spend under management

Spend under management is the leverage KPI for procurement. World-class organizations put 85 to 95 percent of total spend under active contract and sourcing control no cited source; 60 to 75 percent is typical no cited source.

Below 50 percent means half your spend is maverick or tail no cited source. Measure it as managed spend divided by total addressable spend.

The lever is tail-spend consolidation. Route the bottom 80 percent of suppliers, who often carry only 20 percent of value no cited source, through a distributor or catalog so buyer time concentrates on strategic vendors. That shrinks the variable cost of managing the network while lifting coverage.

How to measure

  • Divide managed spend by total addressable spend.
  • Count spend as managed only when it sits under an active contract and sourcing control.

What moves it

  • Tail-spend consolidation through a distributor or catalog.
  • Buyer time focused on strategic vendors.

See how consolidation changes the cost of running the supply base with the Supplier Network Cost calculator.

Plant utilization and load factor

Plant utilization and load factor decide footprint efficiency. A well-run network runs 80 to 90 percent capacity load on core sites no cited source; below 65 percent you are paying fixed cost for idle capacity no cited source, and above 95 percent you have no surge room and freight expedites climb no cited source.

For national context, U.S. manufacturing capacity utilization was 75.7 percent in August 2026, 2.5 percentage points below its 1972 to 2025 average, according to the Federal Reserve1. In the Census Bureau's quarterly survey, plants used an estimated 74.6 percent of full production capacity in the fourth quarter of 20253. These are national averages across all plants, not network targets.

Measure load as demonstrated output divided by demonstrated capacity, not nameplate. The levers are consolidating volume onto fewer sites to lift load, or rebalancing product families across plants.

For example, rebalancing product families keeps a single site from swinging between 55 and 100 percent load across a season.

How to measure

  • Divide demonstrated output by demonstrated capacity for each core site.
  • Use demonstrated capacity, never nameplate.
  • Track the seasonal swing, not only the annual figure.

What moves it

  • Consolidating volume onto fewer sites.
  • Rebalancing product families across plants.

Compare footprint options, including the cost of changing them, with the Production Footprint Comparison calculator.

Supplier capacity coverage

Supplier capacity coverage protects against demand spikes. Target suppliers able to cover 120 to 130 percent of your peak demand, giving a 20 to 30 percent surge cushion no cited source.

A supplier that can only just cover your peak has zero headroom and will miss when you grow or when their other customers surge.

Improve coverage by contracting reserved capacity, qualifying a second source for the top 10 parts by volume, or building 2 to 4 weeks of strategic buffer stock on the parts where a capacity miss stops a line no cited source.

How to measure

  • Divide each supplier's demonstrated capacity for your parts by your peak demand.
  • Flag any supplier whose coverage leaves no surge cushion.

What moves it

  • Contracted reserved capacity.
  • A qualified second source for the highest-volume parts.
  • Strategic buffer stock on parts where a capacity miss stops a line.

If the second source would be nearshore, compare its cost with the Nearshore vs Domestic Cost calculator.

Cost per supplier

Cost per supplier benchmarks management efficiency. A managed direct-materials base typically costs $4,000 to $8,000 per supplier per year in loaded buyer, quality and risk-monitoring time no cited source.

A blended figure near $5,000 is healthy no cited source, while above $8,000 points to either heavy strategic relationships or inefficient process no cited source. Track it as total network management cost divided by active supplier count.

The lever is not just cutting suppliers. Standardize onboarding and scorecards so each vendor consumes less time, and purge dormant accounts that inflate the count without carrying real spend.

How to measure

  • Divide total network management cost by active supplier count.
  • Include loaded buyer, quality and risk-monitoring time.
  • Count only suppliers with real spend in the period.

What moves it

  • Standardized onboarding.
  • Standard supplier scorecards.
  • Purging dormant accounts.

Estimate the annual cost of managing your supply base with the Supplier Network Cost calculator.

Outsourced quality and delivery

Quality PPM from outsourced sources caps the risk you accept. Among established suppliers, 500 to 2,000 PPM is typical no cited source, and above 5,000 PPM erases most unit-price savings once containment and line stoppages are counted no cited source.

A published rating sets the strong end much lower. RTX's Supplier Rating System, used across its aerospace and defense businesses, rates high-volume suppliers on rolling 12-month PPM: under 100 PPM is Performing, up to 250 PPM is Progressing and above 250 PPM is Underperforming2. It counts incoming and floor failures per million received.

Delivery belongs on the same scorecard. RTX rates on-time delivery of 95 percent or better as Performing, 90 to 95 percent as Progressing and below 90 percent as Underperforming2. In the 2000 IndustryWeek census of U.S. plants, delivery leaders reached at least 98 percent on time, and only one-third of plants did4.

The levers are supplier development on the top defect contributors and source inspection during ramp. Tie a portion of the second-year price to a PPM target, so the supplier owns the improvement instead of you owning the sorting.

How to measure

  • Count defective parts per million received, per supplier per month.
  • Score on-time delivery per supplier on the same page.

What moves it

  • Supplier development on the top defect contributors.
  • Source inspection during ramp.
  • Part of the second-year price tied to a PPM target.

When fallout eats the savings, recheck the in-house option with the Make vs Buy Cost calculator.

How to build your own baseline

  • Write down each KPI's definition, especially what counts as managed spend and demonstrated capacity, and keep it fixed.
  • Collect several months of data per category, lane and supplier before you set targets.
  • Compare against your own trend first and published ranges second.
  • Revisit a make-versus-buy decision whenever landed cost, quality or capacity moves outside its band.

Sources

  1. Industrial Production and Capacity Utilization - G.17 (release of September 18, 2026). Board of Governors of the Federal Reserve System. published September 18, 2026. Release summary, capacity utilization paragraph (August 2026 data). Accessed September 30, 2026.
  2. Supplier Rating System User Guide. RTX Corporation (Raytheon Supplier Rating System). published 2026. p. 8, 'RTX performance criteria' table; p. 7 (high-volume suppliers: >=100,000 pieces over 12 months, rated on PPM). Accessed September 30, 2026.
  3. Quarterly Survey of Plant Capacity Utilization: 2025 Quarter 4 (Table 1, full production capability rates). U.S. Census Bureau (sponsored by the Federal Reserve Board). published 2026. Release summary paragraph; Table 1 rows 31-33 'All manufacturing' and 3351 'Electric lighting equipment mfg.'. Accessed September 30, 2026.
  4. Viewpoint -- Achieve Superior On-Time Delivery Performance (based on the Fourth Annual IndustryWeek Census of Manufacturers). IndustryWeek (F. A. Pecson, former PricewaterhouseCoopers Census team member); survey run with PricewaterhouseCoopers. published December 21, 2004. Section 'On-Time Delivery Defined', paragraphs 1-2. Accessed September 30, 2026.

Published 2026-07-01.