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

USE CASES FOR PLAN

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