resource-leveling

Solid

Optimize resource allocation to eliminate overallocation while minimizing schedule impact

AI & Automation 814 stars 53 forks Updated today MIT

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Skill Content

# Resource Leveling Optimizer ## Overview The Resource Leveling Optimizer skill resolves resource overallocation conflicts and optimizes resource utilization across project schedules. It applies intelligent algorithms to balance workloads, eliminate conflicts, and minimize schedule extension while respecting resource constraints and priorities. ## Capabilities ### Conflict Detection - Detect resource overallocation conflicts - Identify resource contention periods - Calculate overallocation severity and duration - Map resource conflicts to specific activities ### Leveling Algorithms - Apply resource leveling algorithms (priority-based, min slack) - Perform resource smoothing (within float only) - Optimize multi-resource allocation - Support skills-based resource assignment - Handle part-time and split assignments ### Analysis and Reporting - Calculate resource utilization histograms - Generate resource loading reports - Calculate resource costs by period - Produce before/after comparison metrics - Report schedule impact of leveling ### Advanced Features - Multi-project resource leveling - Resource pool optimization - Skills matching and substitution - Calendar-aware scheduling - Overtime cost modeling ## Usage ### Input Requirements - Activity list with durations and dependencies - Resource assignments with effort/duration - Resource availability calendars - Resource capacity limits - Optional: Resource costs and skill profiles ### Output Deliverables - Leveled sched...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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