PLAN
How do you assign limited resources to competing demands without leaving value on the table?
Why it's Tough
The number of possible schedules explodes combinatorially. A shift schedule for 50 employees across 3 weeks has more possible combinations than atoms in the universe. Spreadsheets and rules-of-thumb leave enormous value on the table.
Our Approach
We model these as constraint satisfaction and integer programming problems, then solve them with specialized engines (MILP solvers, CP-SAT) that find optimal or near-optimal solutions in seconds. The result: schedules that actually work, with provable guarantees about quality.
TECHNICAL COMPETENCIES & KEYWORDS
schedulingworkforce planningcapacity planningrosteringdispatch planningconstraint satisfactionMILPCPinteger programming
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