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Rostify 7.3

05 Rostering

Resource planning

Resource planning (CAP) calculates, for each day of the coming months, how many heads remain after the pattern, assignments in other units and absences – the basis for leave decisions and medium-term staff planning.

  • For
  • Planner

CAP in the Manage Roster toolbar opens resource planning for the current month. Use the tabs to choose a different month – from the previous month up to eight months ahead. Whether CAP is available depends on your organisation's service scope.

Resource planning: figures, head counts per day and table
Resource planning: figures, head counts per day and table

Figures

Tile Meaning
Hours / ATCO predicted The expected monthly hours per full-time employee if the entire demand is distributed.
Roster Hours Hours of all working shifts of the pattern in the month.
Demand Other Units Hours your staff work in other units.
Leave Absence Hours from open leave requests and entered absences.

Head counts chart

For each day, a stacked bar made up of Heads left, Demand OPS, Demand other and Vacation / leave. The colour of Heads left gives a warning:

  • red – below the minimum staffing set for the unit,
  • light red – below 130 % of this limit (below … heads).

Weekends and public holidays are marked; the tooltip shows the day's values.

Table

Block Rows
Result HEAD left · FTE left
Available FTE available total · HEAD available total
Demand · Heads HEAD demand roster · HEAD demand other unit · HEAD leave
Demand · Hours Demand hours roster · Demand hours other · Leave hours

How it is calculated

  • Heads available – active staff of the unit. FTE available – their employment levels minus their office share.
  • Demand roster – the number of shifts in the pattern on that day.
  • Demand other – assignments of your staff in other units.
  • Leave – open requests and entered absences.
  • Heads left = available − demand roster − demand other − leave.

Open leave requests already count as absence. This lets you see before deciding whether a request would push staffing below the limit.