explain_simulation

shallow

com.scmodeling/public · Verify this server

Reference text on supply-chain simulation — how a discrete-event model of a network behaves through time. Covers event-driven execution (future-event list, the consume / check-inventory / place-order / fill / ship / deliver vocabulary), why inventory POSITION rather than on-hand stock drives reordering, which KPIs the engine reports versus which this site derives from the raw order and shipment records, when to reach for simulation, for optimization, and for both together, and the honest limitations of these runs (single deterministic replication, cached results, warm-up inside the reported window, fixed sample parameters). Pure static text — no engine call, deterministic output. Use this when the user asks a conceptual 'how does the simulation work', 'why did this DC stock out', or 'should I simulate or optimize' question rather than asking for a number; call run_simulation when they want actual figures.

100.0/100

1 trials · measured 28 days ago

explain_simulation scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against com.scmodeling/public, measured 23 Sept 2026 under methodology v0.2.0. Every measured component scored 100.

Component breakdown

ComponentWeightValue
Reliability35%not applicable
Schema integrity25%100.0
Failure behaviour15%not applicable
Latency15%not applicable
Concurrency10%not applicable

Tool details

Transport
remote
Credential class
self-provisionable
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-09-23100.0shallowv0.2.0

Probe evidence

ProbeOutcomes
schema_integritypass: 1

Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.

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Vouch score: explain_simulation
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explain_simulation — Vouch