Building fairer shift schedules under demand constraints

Managers build rosters that meet coverage but create unfair night-shift loads and last-minute changes.

7 upvotes

Problem

Hospitality and logistics SMEs schedule in spreadsheets; fairness rules are informal and forgotten under pressure.

Supervisors fill shifts, swap via chat, and resolve conflicts manually.

Turnover, absenteeism, and coverage gaps.

Multi-objective optimizers can balance coverage, preferences, and fairness metrics with manager overrides.

Preference data quality; labor law encoding.

Opaque schedules; gaming of preference inputs.

Basic workforce apps without fairness objectives.

Apps optimize cost only; fairness is secondary.

Eurofound working time and work-life balance research
Links unpredictable schedules to wellbeing and retention risks.

No comments yet.