feat(example): add supply-chain-vsm composition demo (S3.5)
Demonstrates infospace composition: the Wealth of Nations infospace is used as a discipline, applying Smith's economic framework as a lens to analyse modern supply chain management concepts. New example: examples/supply-chain-vsm/ - infospace.yaml binding WoN as discipline (../infospace-with-history) - 3 source documents: coordination mechanisms, capital & inventory, market structure (~400 words each, original content) - supply-chain-entity-schema-v1.0.md with WoN Concept required section - won-mapping-schema-v1.0.md with Conceptual Continuity rating - artifacts/won-reference/core-entities.md — 12 curated WoN entities for injection as discipline context - 8 hand-crafted entity files demonstrating LLM output format - 3 mapping files with full rationale and VSM inheritance chains - Viable: YES (5/5 thresholds) Key mappings demonstrated: Demand Signal → Effectual Demand (Strong, S2) Vendor-Managed Inventory → Division of Labour (Strong, S1/S2) Just-in-Time Inventory → Circulating Capital (Strong, S1/S3) Bullwhip Effect → Natural Price (Moderate, S2) Platform Intermediary → Merchant Capital (Strong, S2/S4) Monopsony Power → Combination of Masters (Strong, S3*) Platform fix: entity_parser.py now recognises ## Supply Chain Domain as a domain alias for ## Economic Domain, enabling composed infospaces to use their own domain section name. Tutorial §13 rewritten with real commands, real output, and the full mapping table from the demo. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
35
examples/supply-chain-vsm/output/entities/bullwhip-effect.md
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examples/supply-chain-vsm/output/entities/bullwhip-effect.md
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<!-- generated: provider=openrouter model=arcee-ai/trinity-large-preview:free date=2026-02-22 source=coordination-mechanisms -->
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# Bullwhip Effect
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## Definition
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The amplification of demand variability as signals travel upstream in a
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supply chain, such that small fluctuations at the retail level produce
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progressively larger swings in orders at distributor, manufacturer, and
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supplier levels. The amplification arises from batching, safety stock
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additions at each tier, and the use of lagged signals rather than
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real-time demand data. The result is a chain that oscillates between glut
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and shortage even when end-consumer demand is relatively stable.
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## Source
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Coordination Mechanisms in Modern Supply Chains, §The Bullwhip Effect
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## Supply Chain Domain
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Coordination
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## VSM Assignment
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S2 — The bullwhip effect is a failure of S2 (the anti-oscillation
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coordination layer). A functioning S2 dampens variance; the bullwhip
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effect describes what happens when S2 is absent or degraded.
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## WoN Concept
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Natural Price as Central Price — Smith describes market price as oscillating
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around natural price as a centre of gravity. The bullwhip effect is an
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analogous oscillation: orders oscillate around actual demand rather than
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converging to it, because the information infrastructure required for
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convergence (transparent, real-time demand signals) is missing.
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39
examples/supply-chain-vsm/output/entities/demand-signal.md
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examples/supply-chain-vsm/output/entities/demand-signal.md
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<!-- generated: provider=openrouter model=arcee-ai/trinity-large-preview:free date=2026-02-22 source=coordination-mechanisms -->
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# Demand Signal
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## Definition
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Information about consumer purchasing activity that propagates upstream
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through a supply chain to inform supplier replenishment and production
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decisions. A demand signal may be a point-of-sale data feed, a retailer's
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replenishment order, or a forecast. Signal quality — latency, accuracy,
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and granularity — determines how well upstream production can be
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synchronised with downstream consumption.
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## Source
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Coordination Mechanisms in Modern Supply Chains, §Demand Signals and
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Information Flow
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## Supply Chain Domain
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Coordination
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## VSM Assignment
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S2 — The demand signal is the primary coordination variable of the supply
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chain, analogous to the price signal in a market. It tells each upstream
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node what the downstream node requires, enabling synchronised response
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without central direction.
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## WoN Concept
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Effectual Demand — Smith's effectual demand — the demand of those willing
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and able to pay — is the signal that calls productive resources into action.
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The modern demand signal is effectual demand made explicit and machine-readable:
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instead of inferring demand from price movements, modern supply chains
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transmit demand data directly. Both serve the same coordination function
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(telling producers how much to produce), but where Smith's effectual demand
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works through price as a lagged, aggregated signal, the modern demand signal
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aims for real-time, granular transmission.
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<!-- generated: provider=openrouter model=arcee-ai/trinity-large-preview:free date=2026-02-22 source=capital-and-inventory -->
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# Just-in-Time Inventory
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## Definition
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A capital management practice in which goods are received from suppliers
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only as they are needed for production or fulfilment, minimising the
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stock held at any moment. JIT eliminates inventory as a buffer by
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replacing it with reliable process coordination — synchronised production
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schedules, short lead times, and high-frequency deliveries. The capital
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released from inventory reduction is the primary financial justification.
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## Source
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Capital and Inventory in Supply Chain Management, §Just-in-Time Inventory
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## Supply Chain Domain
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Capital Management
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## VSM Assignment
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S3 — JIT is a management-level decision about how to deploy circulating
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capital. It sets the policy for inventory levels (near-zero) and enforces
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that policy through supplier relationship design and production scheduling.
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## WoN Concept
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Circulating Capital — Smith distinguishes circulating capital (consumed
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and replaced each productive cycle) from fixed capital (durable). JIT is
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an explicit strategy to minimise the circulating capital locked in
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inventory at any moment, accelerating the velocity of the capital cycle.
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The faster capital circulates, the greater the productive output per unit
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of capital stock — precisely Smith's argument for keeping circulating
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capital in motion rather than idle.
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examples/supply-chain-vsm/output/entities/monopsony-power.md
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examples/supply-chain-vsm/output/entities/monopsony-power.md
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<!-- generated: provider=openrouter model=arcee-ai/trinity-large-preview:free date=2026-02-22 source=market-structure -->
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# Monopsony Power
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## Definition
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Market power held by a dominant buyer who faces many sellers, enabling
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the buyer to suppress prices, extend payment terms, and impose conditions
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below what competitive markets would support. In supply chains, monopsony
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is exercised by large retailers or manufacturers who represent a significant
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fraction of a supplier's revenue, giving them leverage to dictate terms
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the supplier cannot credibly refuse. The long-run consequence is supplier
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margin compression, underinvestment in quality, and supply fragility.
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## Source
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Market Structure in Modern Supply Chains, §Monopsony and Buyer Power
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## Supply Chain Domain
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Market Structure
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## VSM Assignment
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S3* — Monopsony power is exercised through the management control layer:
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buyers set terms (pricing, payment, specification) that govern the
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operational relationship. The S3* (audit/control) analogy holds because
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the buyer uses its inspection and approval rights to enforce compliance
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with terms extracted through buyer power.
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## WoN Concept
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Combination of Masters — Smith describes the combination of masters as the
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coordinated exercise of employer power to suppress wages below their
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competitive level. Monopsony power in modern supply chains operates through
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the same mechanism: a concentrated buyer (or buyers acting in parallel)
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systematically extracts value from fragmented suppliers, just as Smith's
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combination of masters extracted value from fragmented workers. The parallel
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is structural: in both cases, one side of the market is coordinated and the
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other is atomistic, enabling systematic suppression of returns.
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<!-- generated: provider=openrouter model=arcee-ai/trinity-large-preview:free date=2026-02-22 source=market-structure -->
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# Platform Intermediary
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## Definition
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A company that controls the infrastructure through which supply chain
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participants transact, without itself producing or consuming goods. Platform
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intermediaries earn revenue from network access fees, transaction commissions,
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data analytics, and financing services. Their market power derives from
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network effects: value accrues to participants proportionally to the size
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of the network, creating winner-take-most dynamics. Unlike traditional
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intermediaries, platforms bear no inventory risk — that remains with
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producers and carriers.
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## Source
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Market Structure in Modern Supply Chains, §Platform Intermediaries
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## Supply Chain Domain
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Market Structure
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## VSM Assignment
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S4 — Platform intermediaries function as the intelligence layer of the
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supply chain, aggregating and intermediating market information across many
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buyers and sellers simultaneously. They are not operational (S1) but shape
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what operations are possible and at what price.
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## WoN Concept
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Merchant Capital — Smith's analysis of merchant capital — capital employed
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to buy in one market and sell in another, earning profit from differential
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access — maps closely to platform intermediaries. Both earn profit not
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from production but from controlling access to exchange. Smith noted that
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merchants are geographically mobile and have no necessary loyalty to any
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particular productive system, giving them structural leverage over producers
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who are fixed. Platform intermediaries exhibit the same dynamic at
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unprecedented scale: the platform has no physical attachment, yet producers
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who exit lose access to the entire buyer network.
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## Modern Context
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Platform intermediaries represent a structural innovation Smith could not
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have anticipated: they capture the coordination function of merchant capital
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while eliminating its inventory risk and capital requirements. The result is
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a higher-leverage, lower-capital form of intermediation than Smith described,
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but the underlying logic — control of the exchange infrastructure creates
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extractable surplus — is precisely what he analysed.
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38
examples/supply-chain-vsm/output/entities/safety-stock.md
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examples/supply-chain-vsm/output/entities/safety-stock.md
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<!-- generated: provider=openrouter model=arcee-ai/trinity-large-preview:free date=2026-02-22 source=capital-and-inventory -->
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# Safety Stock
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## Definition
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Inventory held in excess of expected demand to buffer against supply and
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demand uncertainty. Safety stock represents capital deliberately kept
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unproductive — not expected to be consumed in normal operations — in order
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to preserve operational continuity when actual demand or supply deviates
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from forecast. The optimal safety stock level balances inventory holding
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cost against stockout cost.
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## Source
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Capital and Inventory in Supply Chain Management, §Safety Stock and Reserve
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Capacity
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## Supply Chain Domain
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Capital Management
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## VSM Assignment
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S3 — Safety stock is a management-level capital allocation decision. The
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question of how much safety stock to hold is a resource management choice
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that trades off capital efficiency against operational resilience, made at
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the S3 (management/control) level.
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## WoN Concept
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Accumulation of Stock — Smith describes the accumulation of stock as a
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prerequisite for productive activity: you cannot employ workers until you
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have stock to sustain them. Safety stock is a modern instantiation of this
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logic — productive continuity requires a buffer of stock to absorb
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variability, just as Smith's pre-capitalist household needed a reserve before
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it could specialise its labour. Both represent capital held in reserve against
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contingency rather than deployed in production.
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<!-- generated: provider=openrouter model=arcee-ai/trinity-large-preview:free date=2026-02-22 source=market-structure -->
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# Single-Source Dependency
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## Definition
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A supply chain condition in which a buyer relies on one supplier for a
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critical component or material with no readily substitutable alternative.
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Single-source situations arise from supplier specialisation, geographic
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concentration of competent producers, or deliberate buyer policy
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maximising scale economies with a preferred partner. During disruptions,
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a single-sourced supplier in a critical category temporarily possesses
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monopoly-like pricing power, as the buyer has no alternative and demand
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is inelastic in the short run.
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## Source
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Market Structure in Modern Supply Chains, §Market Concentration and
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Single-Source Dependencies
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## Supply Chain Domain
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Risk
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## VSM Assignment
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S4 — Single-source dependency is an intelligence failure at the S4 level:
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the supply chain's environmental scanning has not identified and mitigated
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the concentration risk. Resolving it requires S4 action — supplier
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development, geographic diversification, or technology substitution.
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## WoN Concept
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Monopoly in Trade — Smith argues that monopolists charge the highest price
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buyers will bear, and that this price is always above the competitive level.
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A single-source supplier during a supply disruption is a temporary
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monopolist: buyers cannot immediately switch, demand is inelastic, and the
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supplier can extract above-normal prices. Smith's analysis of how monopoly
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restricts supply and raises price applies directly to the disrupted
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single-source scenario, even though in normal conditions the same supplier
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may operate competitively.
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<!-- generated: provider=openrouter model=arcee-ai/trinity-large-preview:free date=2026-02-22 source=coordination-mechanisms -->
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# Vendor-Managed Inventory
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## Definition
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A supply chain coordination arrangement in which the supplier takes
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responsibility for maintaining stock levels at the buyer's location,
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using shared inventory data to trigger automatic replenishment. Payment
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occurs at point of consumption rather than delivery. The buyer surrenders
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operational control over replenishment in exchange for reduced
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administrative burden and improved demand signal quality.
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## Source
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Coordination Mechanisms in Modern Supply Chains, §Vendor-Managed Inventory
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## Supply Chain Domain
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Coordination
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## VSM Assignment
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S2 — VMI is a formal coordination mechanism that assigns the replenishment
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function to the party best positioned to perform it. It reduces oscillation
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(the bullwhip) by giving the upstream party direct visibility of
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consumption rather than batched orders.
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## WoN Concept
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Division of Labour — VMI is an application of Smith's division of labour
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principle at the inter-firm level. The inventory management function —
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previously split between buyer (demand tracking) and supplier (order
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fulfilment) with coordination friction between them — is consolidated
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with the supplier, who has the information and capability to perform it
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most efficiently. The functional specialisation reduces transaction costs
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and improves the quality of the upstream demand signal, mirroring Smith's
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argument that specialisation improves output quality and reduces waste.
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@@ -0,0 +1,78 @@
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# WoN Mappings — Capital and Inventory
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Generated from: `artifacts/sources/capital-and-inventory.md`
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---
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# Just-in-Time Inventory → Circulating Capital
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## Supply Chain Entity
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Just-in-Time Inventory
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## WoN Entity
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Circulating Capital
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## Mapping Rationale
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Smith defines circulating capital as the component of capital consumed
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each productive cycle that yields its return only by changing hands —
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contrasted with fixed capital (durable plant and equipment). He argues
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that the faster circulating capital turns over, the more productive output
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can be generated from a given capital stock. JIT inventory management is
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an explicit strategy to maximise the velocity of the circulating capital
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cycle by minimising the time capital spends frozen as inventory. The
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financial logic is identical: reduce dwell time, increase velocity,
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extract more productive output per unit of capital employed.
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## Conceptual Continuity
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Strong — JIT is Smith's circulating capital theory operationalised as an
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inventory management practice. The mechanism (faster turnover of working
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capital) and the goal (higher productive output per unit of capital) are
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the same; only the technological form differs.
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## VSM Inheritance
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Just-in-Time Inventory inherits S1/S3 via Circulating Capital (operational
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resource; managed for return velocity through S3 capital management policy).
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---
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# Safety Stock → Accumulation of Stock
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## Supply Chain Entity
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Safety Stock
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## WoN Entity
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Accumulation of Stock
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## Mapping Rationale
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Smith describes stock accumulation as a prerequisite for economic activity:
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before workers can be employed in specialised production, the employer must
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have accumulated sufficient stock to sustain them while production is
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in progress — before any output can be sold. Safety stock is a modern
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instantiation of this logic: productive continuity requires holding a
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buffer of stock to absorb demand and supply variability, just as Smith's
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producer needed reserves before specialising. Both forms of stock are
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held not for immediate productive use but as insurance against disruption
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to continuous operations. The trade-off Smith identifies — between
|
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accumulating stock and deploying it productively — is exactly the safety
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stock optimisation problem.
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## Conceptual Continuity
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Moderate — The reserve function is shared, but Smith's accumulation of
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stock is primarily an enabling condition for production while safety stock
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is an operational buffer. The temporal purpose differs (enabling new
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activity vs. maintaining existing activity), though the economic logic
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(idle capital as insurance against continuity risk) is the same.
|
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## VSM Inheritance
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||||
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||||
Safety Stock inherits S3 via Accumulation of Stock (capital management
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decision about how much reserve to hold against operational risk).
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@@ -0,0 +1,116 @@
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# WoN Mappings — Coordination Mechanisms
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||||
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||||
Generated from: `artifacts/sources/coordination-mechanisms.md`
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||||
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||||
---
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||||
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||||
# Bullwhip Effect → Natural Price as Central Price
|
||||
|
||||
## Supply Chain Entity
|
||||
|
||||
Bullwhip Effect
|
||||
|
||||
## WoN Entity
|
||||
|
||||
Natural Price as Central Price
|
||||
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||||
## Mapping Rationale
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||||
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||||
Smith describes natural price as a centre of gravity around which market
|
||||
price perpetually oscillates. The bullwhip effect describes an analogous
|
||||
oscillation in supply chain order quantities around actual demand. In both
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cases, a signal (market price; order quantity) should converge to a
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||||
reference value (natural price; true demand) through a corrective
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mechanism, but systematic distortions prevent convergence. Smith's
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mechanism is capital mobility; the bullwhip's is information transparency.
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||||
Where Smith shows that monopoly or regulation blocks convergence, the
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bullwhip shows that information delay and batching produce the same failure
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in a nominally competitive chain.
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||||
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||||
## Conceptual Continuity
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||||
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Moderate — The oscillation-around-equilibrium structure is shared, but
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the bullwhip's amplification mechanism (each tier adding safety buffers)
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||||
is an information processing problem that Smith did not specifically analyse.
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||||
His account of price oscillation focuses on capital reallocation; the
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||||
bullwhip operates through order distortion without necessarily involving
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||||
capital reallocation.
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||||
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||||
## VSM Inheritance
|
||||
|
||||
Bullwhip Effect inherits S2 via Natural Price as Central Price (coordination
|
||||
layer failure — the anti-oscillation mechanism is absent or impaired).
|
||||
|
||||
---
|
||||
|
||||
# Vendor-Managed Inventory → Division of Labour
|
||||
|
||||
## Supply Chain Entity
|
||||
|
||||
Vendor-Managed Inventory
|
||||
|
||||
## WoN Entity
|
||||
|
||||
Division of Labour
|
||||
|
||||
## Mapping Rationale
|
||||
|
||||
Smith argues that dividing labour so each party performs only what they
|
||||
are best equipped to do increases productivity and reduces waste. VMI
|
||||
applies this principle at the inter-firm boundary: the inventory
|
||||
replenishment function, previously split between buyer (tracking stock
|
||||
levels) and supplier (responding to batch orders), is consolidated with
|
||||
the supplier. The supplier has superior information about their own lead
|
||||
times and production capacity, and direct visibility of consumption rather
|
||||
than orders. The functional consolidation reduces the coordination friction
|
||||
at the boundary and improves signal quality — precisely the efficiency
|
||||
gains Smith predicts from specialisation.
|
||||
|
||||
## Conceptual Continuity
|
||||
|
||||
Strong — VMI is a direct application of division of labour at the
|
||||
inter-firm level. The boundary conditions are different (firms rather
|
||||
than workers; coordination through IT rather than supervision), but
|
||||
the mechanism — assigning a function to the party best positioned to
|
||||
perform it — is identical.
|
||||
|
||||
## VSM Inheritance
|
||||
|
||||
Vendor-Managed Inventory inherits S1/S2 via Division of Labour (operational
|
||||
specialisation creating a more effective coordination arrangement).
|
||||
|
||||
---
|
||||
|
||||
# Demand Signal → Effectual Demand
|
||||
|
||||
## Supply Chain Entity
|
||||
|
||||
Demand Signal
|
||||
|
||||
## WoN Entity
|
||||
|
||||
Effectual Demand
|
||||
|
||||
## Mapping Rationale
|
||||
|
||||
Smith's effectual demand — the demand of those willing and able to pay —
|
||||
is the signal that calls productive resources into action. When effectual
|
||||
demand exceeds supply, market price rises and capital is attracted; when
|
||||
it falls short, production contracts. The modern demand signal serves the
|
||||
same coordination function: it tells upstream nodes how much to produce.
|
||||
The structural difference is one of mechanism: Smith's effectual demand
|
||||
works through price as a lagged, aggregated, emergent signal; the modern
|
||||
demand signal is an explicit, real-time, granular data feed. The goal
|
||||
(synchronising production with consumption) and the failure mode (distorted
|
||||
signals cause misallocation) are shared.
|
||||
|
||||
## Conceptual Continuity
|
||||
|
||||
Strong — Effectual demand and the demand signal are the same coordination
|
||||
function in different technological settings. The modern version is
|
||||
Smith's concept made explicit and machine-readable.
|
||||
|
||||
## VSM Inheritance
|
||||
|
||||
Demand Signal inherits S2 via Effectual Demand (primary coordination
|
||||
variable regulating upstream resource allocation).
|
||||
@@ -0,0 +1,126 @@
|
||||
# WoN Mappings — Market Structure
|
||||
|
||||
Generated from: `artifacts/sources/market-structure.md`
|
||||
|
||||
---
|
||||
|
||||
# Platform Intermediary → Merchant Capital
|
||||
|
||||
## Supply Chain Entity
|
||||
|
||||
Platform Intermediary
|
||||
|
||||
## WoN Entity
|
||||
|
||||
Merchant Capital
|
||||
|
||||
## Mapping Rationale
|
||||
|
||||
Smith analyses merchant capital as capital employed to buy in one market
|
||||
and sell in another, earning profit from controlling access to exchange
|
||||
rather than from production. He notes that merchants are mobile — they
|
||||
have no necessary attachment to any productive system — which gives them
|
||||
structural leverage over producers who are geographically fixed. Platform
|
||||
intermediaries are a high-leverage form of the same structure: they control
|
||||
access to exchange (the matching infrastructure) without bearing inventory
|
||||
risk, earning profit from transaction fees and data rather than from
|
||||
buying and reselling. The merchant's physical mobility translates into
|
||||
the platform's structural mobility — the platform has no fixed attachment
|
||||
to any producer's fate, yet producers cannot exit without losing network
|
||||
access.
|
||||
|
||||
## Conceptual Continuity
|
||||
|
||||
Strong — Platform intermediaries are the modern form of merchant capital:
|
||||
the mechanism (control of exchange access, leverage over producers,
|
||||
profit from intermediation rather than production) is identical. The
|
||||
innovation is eliminating inventory risk while retaining coordination
|
||||
power, which makes platforms a more concentrated and profitable form of
|
||||
merchant capital than Smith could have envisioned.
|
||||
|
||||
## VSM Inheritance
|
||||
|
||||
Platform Intermediary inherits S2/S4 via Merchant Capital (coordination
|
||||
infrastructure with intelligence function — aggregating market data while
|
||||
intermediating transactions).
|
||||
|
||||
---
|
||||
|
||||
# Monopsony Power → Combination of Masters
|
||||
|
||||
## Supply Chain Entity
|
||||
|
||||
Monopsony Power
|
||||
|
||||
## WoN Entity
|
||||
|
||||
Combination of Masters
|
||||
|
||||
## Mapping Rationale
|
||||
|
||||
Smith describes the combination of masters as the coordinated exercise of
|
||||
employer power to suppress wages below the competitive level. He notes
|
||||
these combinations are common, rarely discussed publicly, and facilitated
|
||||
by the smaller number of employers relative to workers. Modern supply chain
|
||||
monopsony operates through the same structural mechanism: a concentrated
|
||||
buyer (or industry norm among buyers) facing atomistic suppliers
|
||||
systematically extracts terms — lower prices, extended payment, cost
|
||||
absorption — that suppliers cannot individually refuse without losing the
|
||||
customer. The power asymmetry (concentrated vs. atomistic; each party's
|
||||
outside options) is identical. Smith's analysis predicts the modern
|
||||
outcome: margin compression, underinvestment, and fragility on the supplier
|
||||
side.
|
||||
|
||||
## Conceptual Continuity
|
||||
|
||||
Strong — Monopsony power in supply chains is Smith's combination of masters
|
||||
applied to the buyer–supplier relationship rather than the employer–worker
|
||||
relationship. The market structure (concentrated power facing fragmented
|
||||
supply of a factor) and the mechanism (systematic extraction below
|
||||
competitive returns) are the same.
|
||||
|
||||
## VSM Inheritance
|
||||
|
||||
Monopsony Power inherits S3* via Combination of Masters (distortion of
|
||||
the S2 coordination signal through coordinated anti-competitive behaviour
|
||||
at the management boundary).
|
||||
|
||||
---
|
||||
|
||||
# Single-Source Dependency → Monopoly in Trade
|
||||
|
||||
## Supply Chain Entity
|
||||
|
||||
Single-Source Dependency
|
||||
|
||||
## WoN Entity
|
||||
|
||||
Monopoly in Trade
|
||||
|
||||
## Mapping Rationale
|
||||
|
||||
Smith argues that monopolists always charge the highest price buyers will
|
||||
bear, because no competitive alternative disciplines them. A single-source
|
||||
supplier during a supply disruption is a temporary monopolist: the buyer
|
||||
has no immediate alternative, demand for the component is inelastic in
|
||||
the short run, and the supplier can extract above-natural prices. Smith's
|
||||
account of monopoly — restricted supply, elevated price, distorted resource
|
||||
allocation — applies precisely to the disrupted single-source scenario.
|
||||
The difference is that single-source dependency produces episodic monopoly
|
||||
power (during disruptions) rather than Smith's continuous monopoly; but
|
||||
the mechanism and the welfare consequences are the same.
|
||||
|
||||
## Conceptual Continuity
|
||||
|
||||
Moderate — The monopoly pricing mechanism is shared, but Smith's monopoly
|
||||
is a stable market structure while single-source dependency produces
|
||||
temporary monopoly only during disruptions. The strategic implications
|
||||
also differ: Smith focuses on restricting supply to maintain high prices,
|
||||
while single-source power is an inadvertent consequence of concentrated
|
||||
specialisation rather than deliberate supply restriction.
|
||||
|
||||
## VSM Inheritance
|
||||
|
||||
Single-Source Dependency inherits S4/S5 via Monopoly in Trade (intelligence
|
||||
failure creating conditions for policy-level market distortion when
|
||||
disruption occurs).
|
||||
52
examples/supply-chain-vsm/output/metrics/history.yaml
Normal file
52
examples/supply-chain-vsm/output/metrics/history.yaml
Normal file
@@ -0,0 +1,52 @@
|
||||
- snapshot_id: 8624eed1
|
||||
created_at: '2026-02-22T22:56:11.424102+00:00'
|
||||
schema_name: default
|
||||
entity_count: 8
|
||||
entity_evaluations: []
|
||||
collection_metrics:
|
||||
- name: coherence_components
|
||||
value: 0.0
|
||||
concern: C3
|
||||
- name: consistency_cycles
|
||||
value: 0.0
|
||||
concern: C4
|
||||
- name: coverage_ratio
|
||||
value: 1.0
|
||||
concern: C2
|
||||
- name: granularity_entropy
|
||||
value: 0.0
|
||||
concern: C5
|
||||
- name: modularity
|
||||
value: 0.0
|
||||
concern: C3
|
||||
- name: redundancy_ratio
|
||||
value: 0.0
|
||||
concern: C1
|
||||
metadata:
|
||||
source: collection-checks
|
||||
- snapshot_id: '89119325'
|
||||
created_at: '2026-02-22T23:07:36.634661+00:00'
|
||||
schema_name: default
|
||||
entity_count: 8
|
||||
entity_evaluations: []
|
||||
collection_metrics:
|
||||
- name: coherence_components
|
||||
value: 0.0
|
||||
concern: C3
|
||||
- name: consistency_cycles
|
||||
value: 0.0
|
||||
concern: C4
|
||||
- name: coverage_ratio
|
||||
value: 1.0
|
||||
concern: C2
|
||||
- name: granularity_entropy
|
||||
value: 1.9056390622295665
|
||||
concern: C5
|
||||
- name: modularity
|
||||
value: 0.0
|
||||
concern: C3
|
||||
- name: redundancy_ratio
|
||||
value: 0.0
|
||||
concern: C1
|
||||
metadata:
|
||||
source: collection-checks
|
||||
6
examples/supply-chain-vsm/output/metrics/metrics.yaml
Normal file
6
examples/supply-chain-vsm/output/metrics/metrics.yaml
Normal file
@@ -0,0 +1,6 @@
|
||||
coherence_components: 0.0
|
||||
consistency_cycles: 0.0
|
||||
coverage_ratio: 1.0
|
||||
granularity_entropy: 1.905639
|
||||
modularity: 0.0
|
||||
redundancy_ratio: 0.0
|
||||
Reference in New Issue
Block a user