War Does Not Deliver a Clean Fleet

A recent industrial-mobilization study, reported by the South China Morning Post, estimated that even full mobilization could satisfy only about 60% of a modeled wartime demand for drones. That study does not validate SHEEPDOG. It validates the operating condition SHEEPDOG must address: supply remains constrained, fleets become mixed, and commanders must create mission value from the assets that are actually available.

From mixed inventory to mission-effective force

Scarcity changes the meaning of value. Acquisition price is only one input. A low-cost aircraft may become the fleet’s most valuable node if it carries the only thermal sensor, compatible relay, trusted firmware or serviceable battery set. SHEEPDOG therefore needs to reason over missions and capabilities, not model names alone.

A decision model that prices scarcity

At each decision point, a mission assignment can be treated as a bounded comparison:

Replacement Shadow Cost is the wartime value of replacing a capability, not merely an airframe. It incorporates replenishment time, sensor scarcity, battery and parts stock, link compatibility, operator and maintainer familiarity, cyber trust, and future missions that only this node can support.

Six modules make the claim testable

Heterogeneous capability also means heterogeneous trust

“Use what is available” cannot mean connecting every platform directly to the full mission picture. The Capability Passport should therefore include a Trust Tier. A low-trust vehicle may receive only local waypoints and bounded context through an isolated gateway; it does not receive complete friendly positions, keys or sensitive maps. Higher-trust nodes retain access to higher-sensitivity roles.

The benchmark: HETEROGENEOUS-SCARCITY-01

The claim becomes credible only when it beats simpler allocation methods under repeatable conditions. The proposed benchmark uses 18 vehicles across four or five capability profiles. Sensors, endurance, speed, links, trust and maintenance status vary; 20–30% begin unavailable; batteries, links and vehicles fail during the run; replacement arrival times remain uncertain.

Evaluation should measure weighted mission value, time to first effective observation, reassignment latency, rare-capability preservation, unnecessary high-value losses, Reserve Floor violations, capability-gap duration, operator interventions and sustainable operating time under the same replenishment volume.

A deliberately heterogeneous physical POC

A useful first hardware demonstration is not four identical aircraft flying together. It is three low-cost programmable aircraft conducting wide-area search plus one different platform with the better camera, endurance or link. SHEEPDOG decides when that scarce platform is worth committing to confirmation or relay, recomposes the search when one node degrades, and produces an AAR explaining why the high-value node was preserved at the start.

Close the loop from operations to industrial demand

The upstream study asks how many platforms industry can produce. SHEEPDOG addresses the downstream question: how can the available capability pool create the highest sustained mission value? Over time, the loop can connect inventory and production to mission allocation, attrition and AAR, then return a more useful demand signal.

The output should not be only “100 more units of model X.” It should identify the capability gap: long-range links, thermal sensing, compatible batteries, trusted compute modules or relay nodes required over the next operating window.

Sources. The study details and publication timing are reported by the South China Morning Post. The researcher’s name is Zhang Jihai / 張紀海, consistent with the Beijing Institute of Technology profile and BIT’s published faculty activities. Figures cited from press coverage remain study-scenario outputs, not forecasts of a specific conflict.