Process Optimization Benchmarks in Manufacturing

Aggregate outcomes from 415 documented process optimization deployments in manufacturing: median output & capacity gain 40% across 5 reporting deployments.

Computed on

Maintained by
Peter KorpakLead Editor
415
Documented deployments
13
Industries
9
Vendors
198
Reporting outcomes

What outcomes do process optimization deployments report?

Medians are computed only from comparable observed figures: same measure, unit, direction and period, with each deployment counted once and at least 5 deployments from at least 3 distinct sources required. 10 of 415 case records currently count as a deployment in at least one published statistic. Values are as reported by the original source, not independently audited.

OutcomeMedianRangeDeployments

Output & capacity gain

Observed percentage output or capacity gains.

40%10% – 50%

5

5 sources

View contributing cases

Cost reduction

Observed percentage cost or spend reductions. Energy and inventory stay separate.

30%18% – 70%

5

4 sources

View contributing cases

Which vendors have the most process optimization deployments?

  1. 1Rockwell Automation335
  2. 2Siemens39
  3. 3Tulip17
  4. 4Aokumo2
  5. 5C3.ai2
  6. 6Oden Technologies1
  7. 7McKinsey1
  8. 8SymphonyAI1
  9. 9Cognex1

Which industries deploy process optimization?

How these numbers are computed

  • Population: every published process optimization case study in our manufacturing directory (415 case records), recomputed as new case studies are published.
  • Outcome medians: computed only within cohorts that share measure, unit, direction, period and observed-result status. Ranges, approximations, forecasts, simulations and mixed money bases are excluded rather than coerced. 10 of 415 case records currently count as a deployment in a published statistic. Each statistic links the contributing case records and cited sources so the median can be recalculated from that list. Each deployment counts once and repeated write-ups of the same deployment are merged, so sample size is distinct deployments, not cases or metric slots. A statistic needs at least 5 deployments from at least 3 distinct sources.
  • Source figures are as reported by each record's linked cited source. They are not independently audited, and source type is not classified. Treat medians as the shape of reported outcomes, not a guarantee.

Full methodology