Examples
Examples
Try the starting example
- JSON Requests [ID,eligible resource IDs]
- [["A",["X","Y"]],["B",["X"]],["C",["Y"]]]
- JSON Resource capacities [ID,integer seats]
- [["X",1],["Y",1]]
- Assignments
- [["A","Y"],["B","X"]]
- Unassigned request IDs
- ["C"]
- Assigned request count
- 2
Try another scenario
- JSON Requests [ID,eligible resource IDs]
- [["A",["X","Y"]],["B",["X"]],["C",["Y"]]]
- JSON Resource capacities [ID,integer seats]
- [["X",2],["Y",1]]
- Assignments
- [["A","X"],["B","X"],["C","Y"]]
- Unassigned request IDs
- []
- Assigned request count
- 3
Calculation method
Calculation method
Assignments
Maximum-cardinality bipartite matching using augmenting paths over individual capacity seats.
Unassigned request IDs
Requests absent from the maximum matching.
Assigned request count
Number of matched requests.
Symbols and units
- a
- JSON Requests [ID,eligible resource IDs]
- b
- JSON Resource capacities [ID,integer seats]
Use the units shown. A list keeps the order in which you enter its values. The symbol ^ means “raised to the power of”.
Assumptions & limits
Assumptions & limits
- One shift after approved leave exclusions. Requests represent required skill/post seats; resources represent available employees with capacity one. Eligibility is employee skill fit after leave. Returns maximum coverage and explicit gaps. Supported limits: Up to 100 requests and 200 total seats. Each request needs one seat. Time conflicts or qualification rules must already be encoded in eligibility.
Are these inputs private?
These calculations run in your browser. A shared link contains the values you choose to share. Only questions submitted to the separate AI finder are sent to OpenAI.
Further reading
Background reading; this does not imply endorsement or independent review of SumFizz.