Research replication
Corridors are systems
Open the exact fictional inputs behind each worked study. Project cases use their companion model; auxiliary cash bridges retain a separate, verifiable calculation.
Return to the paper↗These are illustrative scenarios, not actual project or supplier data. Inputs and method boundaries govern each result.
Illustrative study
Illustrative base chain
Locate the annual serial constraint and explain whole-chain cost allocation on delivered throughput.
What changes
- Variable: Nominal capacity, availability or demand as explicitly changed by this fixture
- Held constant: All other frozen inputs; operating costs are held constant solely to expose throughput and denominator effects
- Interpretation: Compare the full slate including coordinated, lower availability and lower demand. These are deterministic contrasts, not probability bounds.
Limits of the study
- Explicitly fictional corridor with annual steady-state serial flow; no route, queue, dispatch, inventory, seasonality or quality model.
- Operating cost assumptions remain unchanged across physical interventions; this is not a capital appraisal and does not establish feasible improvements, investment return or accepted service.
Open this case in the model↗Illustrative study
Illustrative vessel-loading intervention
Expand the visible waterside asset while holding the binding inland stage unchanged.
What changes
- Variable: Nominal capacity, availability or demand as explicitly changed by this fixture
- Held constant: All other frozen inputs; operating costs are held constant solely to expose throughput and denominator effects
- Interpretation: Compare the full slate including coordinated, lower availability and lower demand. These are deterministic contrasts, not probability bounds.
Limits of the study
- Explicitly fictional corridor with annual steady-state serial flow; no route, queue, dispatch, inventory, seasonality or quality model.
- Operating cost assumptions remain unchanged across physical interventions; this is not a capital appraisal and does not establish feasible improvements, investment return or accepted service.
Open this case in the model↗Illustrative study
Illustrative rail intervention
Relieve the original rail constraint and reveal the next binding loading stage.
What changes
- Variable: Nominal capacity, availability or demand as explicitly changed by this fixture
- Held constant: All other frozen inputs; operating costs are held constant solely to expose throughput and denominator effects
- Interpretation: Compare the full slate including coordinated, lower availability and lower demand. These are deterministic contrasts, not probability bounds.
Limits of the study
- Explicitly fictional corridor with annual steady-state serial flow; no route, queue, dispatch, inventory, seasonality or quality model.
- Operating cost assumptions remain unchanged across physical interventions; this is not a capital appraisal and does not establish feasible improvements, investment return or accepted service.
Open this case in the model↗Illustrative study
Illustrative coordinated intervention
Expand rail and vessel loading together and identify the newly binding stockyard.
What changes
- Variable: Nominal capacity, availability or demand as explicitly changed by this fixture
- Held constant: All other frozen inputs; operating costs are held constant solely to expose throughput and denominator effects
- Interpretation: Compare the full slate including coordinated, lower availability and lower demand. These are deterministic contrasts, not probability bounds.
Limits of the study
- Explicitly fictional corridor with annual steady-state serial flow; no route, queue, dispatch, inventory, seasonality or quality model.
- Operating cost assumptions remain unchanged across physical interventions; this is not a capital appraisal and does not establish feasible improvements, investment return or accepted service.
Open this case in the model↗Illustrative study
Illustrative lower rail availability
Change availability alone to expose calendar sensitivity and fixed-cost dilution.
What changes
- Variable: Nominal capacity, availability or demand as explicitly changed by this fixture
- Held constant: All other frozen inputs; operating costs are held constant solely to expose throughput and denominator effects
- Interpretation: Compare the full slate including coordinated, lower availability and lower demand. These are deterministic contrasts, not probability bounds.
Limits of the study
- Explicitly fictional corridor with annual steady-state serial flow; no route, queue, dispatch, inventory, seasonality or quality model.
- Operating cost assumptions remain unchanged across physical interventions; this is not a capital appraisal and does not establish feasible improvements, investment return or accepted service.
Open this case in the model↗Illustrative study
Illustrative lower demand
Reverse the capacity interpretation by making demand lower than every effective stage capacity.
What changes
- Variable: Nominal capacity, availability or demand as explicitly changed by this fixture
- Held constant: All other frozen inputs; operating costs are held constant solely to expose throughput and denominator effects
- Interpretation: Compare the full slate including coordinated, lower availability and lower demand. These are deterministic contrasts, not probability bounds.
Limits of the study
- Explicitly fictional corridor with annual steady-state serial flow; no route, queue, dispatch, inventory, seasonality or quality model.
- Operating cost assumptions remain unchanged across physical interventions; this is not a capital appraisal and does not establish feasible improvements, investment return or accepted service.
Open this case in the model↗Illustrative study
Illustrative tied serial constraints
Show why single-stage improvement can fail when another stage shares the same effective capacity.
What changes
- Variable: Nominal capacity, availability or demand as explicitly changed by this fixture
- Held constant: All other frozen inputs; operating costs are held constant solely to expose throughput and denominator effects
- Interpretation: Compare the full slate including coordinated, lower availability and lower demand. These are deterministic contrasts, not probability bounds.
Limits of the study
- Explicitly fictional corridor with annual steady-state serial flow; no route, queue, dispatch, inventory, seasonality or quality model.
- Operating cost assumptions remain unchanged across physical interventions; this is not a capital appraisal and does not establish feasible improvements, investment return or accepted service.
Open this case in the model↗Illustrative study
Illustrative unavailable loading stage
Test the boundary where annual flow vanishes and unit cost is undefined while fixed obligations remain.
What changes
- Variable: Nominal capacity, availability or demand as explicitly changed by this fixture
- Held constant: All other frozen inputs; operating costs are held constant solely to expose throughput and denominator effects
- Interpretation: Compare the full slate including coordinated, lower availability and lower demand. These are deterministic contrasts, not probability bounds.
Limits of the study
- Explicitly fictional corridor with annual steady-state serial flow; no route, queue, dispatch, inventory, seasonality or quality model.
- Operating cost assumptions remain unchanged across physical interventions; this is not a capital appraisal and does not establish feasible improvements, investment return or accepted service.
Open this case in the model↗Illustrative study
Distinct binding capacities at a supported small scale
Test whether binding membership changes incorrectly when units become small.
What changes
- Change: Multiply demand and both capacities by the same positive scalar within their declared bounds.
- Held constant: Availability, stage order and zero operating costs.
- Interpretation: The capacity ordering and binding stage must be invariant; this is a computational diagnostic, not an actual operating forecast.
Limits of the study
- Extremely small quantities are deliberately fictional computational probes, not economically meaningful cargo estimates.
- Exact rational comparisons concern the supplied canonical decimal values; they do not establish availability accuracy or feasible expansion.
Open this case in the model↗