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Prompts

Capacity bottlenecks for the next three months

Shortage per skill on a weekly scale for the coming three months – from the capacity view of the open project or portfolio.

All people, companies and projects shown are synthetic Rillsoft sample data – from the shipped industry packages or, where stated, from a test project.

The prompt

Show capacity bottlenecks for the next three months, per skill and week.

Changes the project (one undo step)

In your words

  • Mechanical engineering: Which skills are short during the assembly phase, and from which week?
  • Plant engineering: Where does piping capacity fall short in the next three months?

What you need

  • An open project or portfolio.
  • Read-only mode is not enough: the AI switches the capacity view, the time filter and the weekly scale – one undo step each; project data stays untouched.
  • The capacity view shows shortfall per skill, not the overload of individual people.

What you get

In the sample package Machinery and plant engineering (portfolio) the bottleneck of the first three months after project start – October to December 2026 – is not in assembly: Electrical design engineer is short on 33 of 65 working days (784 hours, 34 % of demand), Technical buyer on 20 days (312 hours, 33 %), plus Project engineer (216 hours) and Mechanical design engineer (224 hours); Mechatronics technician is short before Christmas (144 hours, peak from 21 to 23 December in Packaging cell P-80 and Press R-12 retrofit). From December to February the assembly skills lack only 5 % (Assembly fitter, 192 hours) and 13 % (Mechatronics technician, 184 hours); the other skills stay within capacity. In the video, the same prompt runs on the sample package Production and manufacturing (portfolio): a plant with five projects alongside running line operations, status date 1 October 2026. The AI sets the capacity view to human resources by skill on a weekly scale from 12 October 2026 to 10 January 2027 and evaluates thirteen weeks and eight skills, in person-days. Three bottlenecks remain: quality assurance is short in six weeks, most of all in the week of 30 November with 19 person-days of demand against 10 available, 18 short in total; maintenance needs 66 person-days in the week of 16 November with 50 available; shift management is slightly over in the week of 23 November with 35 against 32.
Production planning software with AI: find bottlenecks in the plant – Rillsoft Project · 1:05 Min Watch on YouTube · Open the playlist The video is loaded from YouTube only after you click. More in the privacy policy.
Human resource capacity planning by role, October to December 2026, week 1:2, in hours: shortfall −784 (34 %) electrical design, −312 (33 %) purchasing, −224 (7 %) mechanical design, −216 (20 %) project engineer, −144 (15 %) mechatronics; electrical design expanded with four people, below its chart with demand up to 8 against capacity 4
The next three months after project start: the bottleneck is electrical design – demand of up to eight people against four in November, 784 hours of shortfall in total

Why it is useful

Three months is the horizon in which something can still change: subcontracting, training, postponing. The answer names skill, week and shortfall – enough to decide which lever comes first. Without demand against supply per week, February would be a long list of tasks – the capacity view turns it into missing hours per skill.

How the answer is produced

The AI sets the capacity view to skill, limits the time filter to three months, selects the weekly scale and reads the report. Exactly this view is on screen in Rillsoft Project at the same time.

rillsoft_view_state_apply rillsoft_timescale_apply rillsoft_analysis_report_get

Limits

Absences are already deducted from supply. A person with two skills counts in both rows but can only work once. Shortfall is a statement about the skill, not about a person. The Rillsoft Project product page describes capacity planning.

Try it

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Industry package
02_maschinenbau
Product version
Rillsoft Project 10 (Build 10.0.624)
Last verified
2026-09-29
Verification
Figures and statements verified on the named sample package against the named product build – MCP session, view and report; German and English package with identical figures.