Portfolio & Resource Allocation
Use this workbench when the decision is which combination of initiatives should share limited resources across one or more planning periods. It makes portfolio boundaries, objectives, capacity, demand, commitments, category rules, interactions, evidence, scenarios, and solver quality inspectable in one model.
The result is conditional on the recorded inputs. A feasible modeled portfolio is not an execution schedule, budget authorization, procurement approval, engineering sign-off, investment recommendation, or prediction of delivered benefits. āOptimalā means only that the bounded exact search completed and found the highest modeled score under the encoded objective and constraints. A heuristic result is a feasible incumbent, not proof of global optimality or infeasibility.
What belongs in the model
- one accountable portfolio question, scope, horizon, value unit, stakeholders, assumptions, and hard constraints;
- explicit objectives and weights, ordered periods, resource types and units, and capacity by period;
- candidate initiatives with comparable benefits, costs, scores, risk, confidence, resource demand, and field-level provenance;
- mandatory commitments, category bounds, dependencies, exclusions, and modeled synergies;
- manual and optimization scenarios that preserve protected choices;
- validation findings, exact-versus-heuristic solver status, utilization, bottlenecks, comparisons, and sensitivity generated by the platform engine;
- a separate human review and recommendation tied to the exact model version.
Method boundary
This is a project and initiative portfolio method, not financial-asset portfolio optimization. Use a Prioritization Matrix to rank individual alternatives when no shared capacity constraint matters; Project Viability for the cash sustainability of one project; Scenario Planning for broad external futures; or a Decision Tree for sequential actions whose later choices depend on observed uncertainty.
Which mix fits shared limits?
Set selection, periods, capacity, interactions
Approve or schedule execution
How do individual options rank?
Weights and option scores
Assume top-ranked items fit together
Can one project be sustained?
Cash flow and funding
Allocate a multi-project resource pool
What strategies are robust across futures?
Plausible environments and signals
Claim one forecast is optimized
Continue with frame, objectives, and scoring.