Capacity

Where is capacity, and where is it over-committed?

4.1
iHub UK — allocation vs capacityas at 12 Aug
102%
no target set · no named owner
4.2
iHub Germany — allocation vs capacityas at 12 Aug
78%
no target set · no named owner
4.3
iHub US — allocation vs capacityas at 12 Aug
47%
no target set · no named owner
4.4
Global — allocation vs capacityas at 12 Aug
75%
no target set · no named owner
The capacity grid12 forward weeks · planned as a share of available · 16 people over capacity in at least one week4.5
iHub UK · top 8 of 14 by weeks over capacity
Resource10 Aug17 Aug24 Aug31 Aug7 Sept14 Sept21 Sept28 Sept5 Oct12 Oct19 Oct26 Oct
Douglas Kerr130%127%140%110%111%121%136%125%111%149%123%113%
Rachel Okonkwo130%117%127%107%123%124%111%120%124%115%125%153%
Callum Fairbairn117%—100%117%139%127%112%132%139%127%115%137%
Eleanor Whitfield——140%—120%139%121%124%105%111%123%108%
Priya Raghunathan113%120%—120%111%111%139%96%125%82%113%129%
Marcus Beddoes97%110%107%123%108%89%113%103%76%97%121%105%
Nadia Choudhury107%—110%83%93%121%116%103%120%96%107%100%
Imogen Barlow—110%107%120%93%85%91%103%104%97%113%105%
iHub Germany · top 8 of 14 by weeks over capacity
Resource10 Aug17 Aug24 Aug31 Aug7 Sept14 Sept21 Sept28 Sept5 Oct12 Oct19 Oct26 Oct
Kerstin Vogelsang90%—103%97%81%101%76%96%100%81%80%73%
Matthias Brandt100%—100%—89%96%71%77%99%60%113%68%
Tobias Krüger80%—90%70%75%103%93%81%87%92%73%80%
Marisol Vega———73%77%101%81%96%76%69%85%84%
Dwight Callahan—107%70%80%89%56%85%87%95%80%65%67%
Annika Kohlmann——70%—65%91%71%67%109%76%88%76%
Franziska Ebner67%83%—110%69%50%63%69%76%81%68%77%
Katharina Roth60%70%77%90%80%103%65%53%59%72%79%79%
iHub US · top 8 of 14 by weeks over capacity
Resource10 Aug17 Aug24 Aug31 Aug7 Sept14 Sept21 Sept28 Sept5 Oct12 Oct19 Oct26 Oct
Danielle Prescott75%75%—100%55%50%83%61%66%63%76%70%
Cheryl Ambrose75%—69%88%71%80%49%73%64%64%43%64%
Anders Lindqvist75%53%——83%70%68%56%68%57%56%65%
Tyler Mackenzie63%——69%66%57%64%48%57%73%40%64%
Curtis Nakamura41%59%56%—71%63%57%60%68%54%38%50%
Brandon Ledoux59%47%38%—43%57%76%68%61%56%60%45%
Ingrid Bergström59%50%——28%51%64%55%81%40%56%60%
Jolene Hartwell38%63%44%72%75%53%54%60%57%49%46%43%
under 50%50–74%75–100%101–110%over 110%Both ends are adverse. Over-allocation carries a glyph as well as a fill, because this grid gets printed. Hover a cell for the projects behind it; click a name for their detail page.
Capacity by skill4.6
Additive & toolingTarget 15h21h 140%Gear millingTarget 210h192h 91%Composite machiningTarget 213h194h 91%Materials & metallurgyTarget 198h166h 84%Process simulationTarget 138h112h 81%MetrologyTarget 217h171h 79%TurningTarget 75h58h 77%Hole makingTarget 230h153.5h 67%Grooving & partingTarget 93h57.5h 62%CAM programmingTarget 92h56h 61%
Planned hours by bar, available hours by marker, next 4 weeks. 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.
Unallocated capacity4.7
0h250h500h750h1,000hiHub UKiHub GermanyiHub US10 Aug17 Aug24 Aug31 Aug7 Sept14 Sept21 Sept28 Sept5 Oct12 Oct19 Oct26 Oct
Available hours not yet planned against a project. Surplus is floored at zero per person before it is summed: one person's over-commitment does not free up another person's week.
Data as at 12 Aug 2026 · last refreshed 12 Aug 2026 06:12 UTC