Capacity
Where is capacity, and where is it over-committed?
Allocation against capacity — i-Hub UK5.1
103.2%
Next 4 weeks · Not affected by customer, segment or stage filters
Planned hours, not hours worked. This report holds no actual hours.
Smartsheet and Databricks
5.1
not decided
Allocation against capacity — i-Hub Germany5.2
75.3%
Next 4 weeks · Not affected by customer, segment or stage filters
Planned hours, not hours worked. This report holds no actual hours.
Smartsheet and Databricks
5.2
not decided
Allocation against capacity — i-Hub US5.3
44.0%
Next 4 weeks · Not affected by customer, segment or stage filters
Planned hours, not hours worked. This report holds no actual hours.
Smartsheet and Databricks
5.3
not decided
Allocation against capacity — Global5.4
73.8%
Next 4 weeks · Not affected by customer, segment or stage filters
Planned hours, not hours worked. This report holds no actual hours.
Smartsheet and Databricks
5.4
not decided
The capacity grid12 forward weeks · planned as a share of available · 13 resources over capacity in at least one week5.5
Planned hours, not hours worked. This report holds no actual hours.
i-Hub UK · top 8 of 14 by weeks over capacity
| Resource | 28 Sept | 5 Oct | 12 Oct | 19 Oct | 26 Oct | 2 Nov | 9 Nov | 16 Nov | 23 Nov | 30 Nov | 7 Dec | 14 Dec |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Douglas Kerr | ▲109.3% | ▲109.3% | ▲141.3% | ▲131.6% | ▲126.7% | ▲136.0% | ▲117.3% | ▲117.3% | ▲138.7% | ▲136.0% | ▲118.7% | ▲121.3% |
| Rachel Okonkwo | ▲130.7% | ▲106.7% | ▲120.0% | ▲120.0% | ▲129.3% | ▲125.3% | ▲130.7% | ▲114.7% | ▲118.4% | ▲144.0% | ▲121.3% | ▲124.0% |
| Eleanor Whitfield | ▲122.7% | ▲116.0% | ▲124.0% | ▲108.0% | ▲117.3% | ▲144.0% | ▲117.3% | ▲128.0% | ▲122.7% | ▲115.8% | ▲121.3% | ▲140.0% |
| Priya Raghunathan | ▲126.7% | ▲118.7% | 89.5% | ▲130.7% | ▲121.3% | ▲114.7% | ▲128.0% | ▲132.0% | ▲138.7% | ▲123.7% | ▲134.7% | ▲137.3% |
| Callum Fairbairn | ▲112.0% | ▲110.7% | ▲108.0% | ▲137.3% | ▲121.3% | ▲128.0% | ▲120.0% | ▲121.3% | ▲114.7% | — | ▲104.0% | ▲106.7% |
| Gareth Pemberton | ▲108.0% | 100.0% | ▲110.5% | ▲144.0% | ▲109.3% | ▲118.7% | 93.3% | 98.7% | ▲126.7% | ▲121.3% | ▲122.7% | ▲114.7% |
| Nadia Choudhury | ▲102.7% | ▲102.7% | ▽76.0% | 88.0% | 89.5% | — | 88.0% | ▲101.3% | 96.0% | ▲102.7% | ▲102.7% | 84.0% |
| Harriet Slade | ▲128.0% | 86.7% | 97.3% | — | 84.2% | 89.3% | 100.0% | 92.0% | ▲108.0% | 89.3% | ▲106.7% | 96.0% |
i-Hub Germany · top 8 of 14 by weeks over capacity
| Resource | 28 Sept | 5 Oct | 12 Oct | 19 Oct | 26 Oct | 2 Nov | 9 Nov | 16 Nov | 23 Nov | 30 Nov | 7 Dec | 14 Dec |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Kerstin Vogelsang | 98.7% | 81.3% | ▽77.3% | ▲112.0% | 98.7% | ▲101.3% | ▲104.0% | ▽69.3% | ▽77.3% | 80.0% | ▲102.7% | — |
| Franziska Ebner | 90.7% | 88.0% | 100.0% | 88.0% | 97.3% | 100.0% | ▲101.3% | 100.0% | 92.0% | ▲102.7% | ▲102.7% | ▽73.3% |
| Stefan Wiedemann | 81.3% | ▽77.3% | 88.0% | ▽70.7% | 85.3% | ▽77.3% | 94.7% | ▽78.7% | ▽73.7% | ▲117.3% | 82.7% | 93.3% |
| Jonas Reinhardt | ▲110.7% | ▽77.3% | 82.7% | ▽73.3% | ▽74.7% | ▽72.0% | ▽68.0% | 84.0% | 84.0% | 85.3% | ▽76.0% | 88.0% |
| Birgit Hoffmeister | 92.0% | 80.0% | ▽70.7% | 85.3% | 97.3% | ▽76.0% | 97.3% | 92.0% | — | ▽66.7% | ▽70.7% | — |
| Dwight Callahan | ▽54.7% | 82.7% | 82.7% | ▽66.7% | 90.7% | 92.0% | ▽70.7% | ▽66.7% | ▽78.7% | ▽68.0% | 90.7% | ▽65.3% |
| Sebastian Naumann | ▽69.3% | ▽66.7% | ▽74.7% | 80.0% | 84.0% | ▽68.0% | 82.7% | 81.6% | 98.7% | ▽74.7% | ▽50.7% | ▽76.0% |
| Lukas Steinbach | ▽68.0% | ▽76.0% | 93.3% | ▽77.3% | 82.7% | ▽69.3% | ▽57.3% | ▽78.7% | ▽66.7% | 89.3% | ▽69.3% | ▽70.7% |
i-Hub US · top 8 of 14 by weeks over capacity
| Resource | 28 Sept | 5 Oct | 12 Oct | 19 Oct | 26 Oct | 2 Nov | 9 Nov | 16 Nov | 23 Nov | 30 Nov | 7 Dec | 14 Dec |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Curtis Nakamura | ▽56.3% | ▽57.5% | ▽61.3% | ▽67.5% | ▽55.0% | ▽63.7% | ▽61.3% | ▽58.8% | ▽52.5% | ▽67.5% | 82.5% | ▽50.0% |
| Elin Hallgren | ▽63.7% | ▽63.7% | — | ▽50.0% | ▽65.0% | ▽60.0% | ▽40.0% | ▽71.3% | ▽56.3% | — | ▽62.5% | ▽70.0% |
| Wei Zhang | 80.0% | ▽61.3% | ▽42.5% | ▽47.5% | ▽51.2% | ▽77.5% | ▽52.5% | ▽55.0% | ▽63.7% | ▽62.5% | ▽47.5% | 80.0% |
| Danielle Prescott | ▽52.5% | ▽42.5% | ▽63.7% | ▽67.5% | ▽56.3% | ▽61.3% | ▽41.3% | ▽61.3% | ▽72.5% | ▽70.0% | ▽51.2% | ▽52.5% |
| Tyler Mackenzie | ▽61.3% | ▽48.8% | ▽46.3% | ▽61.3% | ▽63.7% | ▽45.0% | ▽52.5% | ▽55.0% | ▽75.0% | ▽53.8% | ▽56.3% | ▽48.8% |
| Anders Lindqvist | ▽58.8% | ▽47.5% | — | ▽47.5% | ▽46.3% | ▽50.0% | ▽46.3% | ▽55.0% | ▽52.5% | ▽56.3% | ▽48.8% | ▽47.5% |
| Jolene Hartwell | ▽46.3% | ▽40.0% | ▽57.5% | — | ▽63.7% | ▽56.3% | ▽55.0% | ▽33.8% | ▽51.2% | ▽53.8% | — | ▽40.0% |
| Cheryl Ambrose | ▽65.0% | ▽42.5% | ▽43.8% | ▽37.5% | ▽48.8% | ▽42.5% | ▽38.8% | ▽50.0% | ▽71.3% | ▽53.8% | ▽36.3% | ▽55.0% |
Machines
| Resource | 28 Sept | 5 Oct | 12 Oct | 19 Oct | 26 Oct | 2 Nov | 9 Nov | 16 Nov | 23 Nov | 30 Nov | 7 Dec | 14 Dec |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| DMG_CTX | — | 92.5% | 86.3% | 98.8% | — | ▲101.3% | 92.5% | ▲105.0% | ▲102.5% | 85.0% | ▲112.5% | 100.0% |
| Hermle_C_32 | — | 91.3% | 85.0% | 95.0% | 81.3% | ▽56.3% | 96.3% | ▽72.5% | 82.5% | 96.3% | 85.0% | 82.5% |
| Hermle_C_22 | — | 80.0% | 95.0% | — | ▽72.5% | 86.3% | 87.5% | 85.0% | 85.0% | ▽75.0% | ▽77.5% | ▽77.5% |
| Mori_Seiki | — | ▽77.5% | 81.3% | 87.5% | ▽57.5% | 83.8% | 96.3% | 90.0% | 87.5% | 91.3% | ▽50.0% | 87.5% |
| GROB_550T | — | ▽73.8% | ▽77.5% | ▽71.3% | 90.0% | ▽60.0% | 100.0% | ▽77.5% | 85.0% | 91.3% | ▽56.3% | ▽63.7% |
| Heller_H6000 | — | ▽50.0% | ▽55.0% | ▽66.3% | ▽42.5% | ▽68.8% | 82.5% | ▽58.8% | ▽57.5% | 80.0% | ▽62.5% | ▽63.7% |
| Mazak_Quick_Turn_Nexus | — | ▽55.0% | ▽58.8% | ▽75.0% | ▽57.5% | ▽76.3% | ▽61.3% | ▽51.2% | ▽45.0% | ▽36.3% | ▽42.5% | ▽62.5% |
▽under 60%▽60–80%80–100%▲100–120%▲over 120%100% is the capacity line, not an agreed target. Both ends are adverse — ▲ over, ▽ under — and every cell prints its number, because this grid gets printed. Hover a cell for the projects behind it; click a person’s name for their detail page. Not affected by customer, segment or stage filters.
Smartsheet and DatabricksQuestion for you: Is this the EPMS allocation, as a percentage of weekly capacity?
5.5
not decided
Capacity by skill5.6
Each bar end reads planned / available hours, next 4 weeks; the marker on the bar is the available hours. Competency-based automatic assignment is deferred and equal competency is assumed for December: this shows where skills ARE allocated, not where they optimally should be. Not affected by customer, segment or stage filters.
No source yetQuestion for you: Are these the right categories, or should it be your work-category menu?
5.6
not decided
Unallocated capacity5.7
Available hours not yet planned against a project. Surplus is floored at zero per resource before it is summed: one resource’s over-commitment does not free up another resource’s week. Planned hours, not hours worked. This report holds no actual hours. Not affected by customer, segment or stage filters.
Smartsheet and Databricks
5.7
not decided
As at 29 Sep 2026 · EPMS refreshed 29 Sep 2026 06:12 UTC · one source, no second system