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:
2026-02-23 00:08:51 +01:00
parent 8f00fa2018
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# Capital and Inventory in Supply Chain Management
## Inventory as Frozen Capital
Inventory is working capital immobilised in physical form. Every unit of
stock sitting in a warehouse represents capital that has been deployed but
not yet returned. The cash-to-cash cycle — the time between paying a
supplier and receiving payment from a customer — determines how much
working capital a business must hold at any moment. A long cycle requires
more capital; a short cycle requires less.
This relationship makes inventory management inseparable from capital
management. Decisions about how much stock to hold, where to hold it, and
in what form are simultaneously decisions about how to deploy scarce capital.
Excess inventory does not merely incur storage costs; it has an opportunity
cost equal to the return that capital could earn in its next best use.
## Just-in-Time Inventory
Just-in-time (JIT) inventory management is the practice of receiving goods
from suppliers only as they are needed in the production process or for
customer fulfilment, thereby minimising the volume of inventory held at any
moment. JIT was developed in the Japanese automotive industry and achieved
its most influential form at Toyota, where it became part of the Toyota
Production System.
The goal of JIT is to eliminate inventory as a buffer. Where traditional
manufacturing used inventory to absorb variability in supply and demand,
JIT addresses variability directly — through reliable supplier relationships,
short production runs, and rapid changeover. The capital released from
inventory reduction is the primary financial justification for the
substantial coordination investments JIT requires.
JIT succeeds when supply chains are stable, geographically concentrated,
and have high-quality supplier relationships. It fails when exposed to
supply shocks, as the 2011 Tōhoku earthquake and the 20202022 global
supply chain disruptions demonstrated: the same lean buffers that minimise
capital in stable conditions amplify vulnerability in unstable ones.
## Safety Stock and Reserve Capacity
Safety stock is inventory held in excess of expected demand to buffer
against uncertainty. It is a form of capital deliberately kept unproductive
in order to preserve operational continuity. The optimal safety stock level
balances the cost of holding excess inventory against the cost of stockouts —
lost sales, production stoppages, and damaged customer relationships.
The existence of safety stock reflects a fundamental trade-off in supply
chain design: capital efficiency versus operational resilience. A supply
chain optimised purely for capital efficiency holds no safety stock, but
collapses at the first supply disruption. A supply chain optimised for
resilience holds substantial safety stock, but earns a low return on
capital employed.
## Working Capital Optimisation
Working capital optimisation is the systematic management of the
cash-to-cash cycle to reduce the amount of capital tied up in operations
at any point. The primary levers are: reducing inventory levels (JIT, VMI),
shortening the receivables cycle (faster collection from customers), and
lengthening the payables cycle (slower payment to suppliers).
Large buyers — particularly major retailers and platform companies — use
their market power to extend payment terms to suppliers to 60, 90, or 120
days while collecting from customers within days. This transfers the
financing burden of working capital to the supply chain without reducing
the buyer's operational requirements. The result is an effective subsidy
from suppliers (often smaller and more capital-constrained) to buyers
(typically larger and better-capitalised).

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# Coordination Mechanisms in Modern Supply Chains
## Demand Signals and Information Flow
Supply chains coordinate through the propagation of demand signals upstream
from end consumers through retailers, distributors, and manufacturers to raw
material suppliers. The quality and latency of these signals determine how
well production is synchronised with actual consumption.
In a well-functioning supply chain, a retailer's point-of-sale data becomes
the input signal for a distributor's replenishment order, which in turn
signals the manufacturer to schedule production runs. When this chain
operates with full transparency and zero delay, production closely tracks
consumption. When it operates with delays, batching, or information
filtering, coordination failures emerge.
## The Bullwhip Effect
The bullwhip effect describes the amplification of demand variability as
signals travel upstream in a supply chain. A 5% fluctuation in retail
demand may translate into a 20% fluctuation in distributor orders and a
40% swing in manufacturer production schedules. This amplification occurs
because each node in the chain adds a safety buffer to its orders, reacts
to the previous period's signal rather than real-time data, and places
orders in discrete batches rather than continuously.
The result is a supply chain that oscillates — periods of excess inventory
alternating with periods of shortage — even when underlying consumer demand
is relatively stable. The bullwhip effect is not a market equilibrium; it
is a coordination failure in which the absence of shared real-time
information causes each rational local decision to produce irrational
aggregate outcomes.
## Vendor-Managed Inventory
Vendor-managed inventory (VMI) is a coordination arrangement in which the
supplier, rather than the buyer, is responsible for maintaining stock levels
at the buyer's location. The supplier has read access to the buyer's
inventory data and automatically replenishes when stock falls below a
specified threshold. Payment occurs when the buyer consumes the goods, not
when they arrive.
VMI represents a reallocation of the inventory management function: the
buyer surrenders operational control over a specific task (replenishment)
to the party better positioned to perform it (the supplier, who controls
the supply side). This specialisation of function reduces transaction costs,
improves forecast accuracy (the supplier sees real consumption, not
batch orders), and smooths the demand signal upstream.
## Supply Chain Visibility
Supply chain visibility refers to the degree to which all participants can
observe the state of inventory, orders, and shipments across the entire
chain in real time. High visibility reduces the information asymmetries
that drive the bullwhip effect and enables coordinated responses to
disruption.
Modern visibility platforms aggregate data from tracking systems, IoT
sensors, and partner APIs to provide a unified operational picture. The
commercial value of visibility comes from reducing the cost of safety
stock (since uncertainty is lower) and enabling faster responses to supply
shocks. Visibility is not merely a technical feature; it is a coordination
mechanism that changes the incentive structure for every node in the chain.

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# Market Structure in Modern Supply Chains
## Platform Intermediaries
A platform intermediary in a supply chain context is a company that does
not itself produce or consume goods but instead controls the infrastructure
through which buyers and sellers transact. Platform intermediaries include
e-commerce marketplaces (Amazon, Alibaba), logistics platforms (Flexport,
FreightOS), and procurement networks (Coupa, Ariba). Their value lies not
in physical capital but in network effects: the platform becomes more
valuable to each participant as the total number of participants grows.
Platform intermediaries extract value by charging transaction fees, selling
data analytics, providing financing, or leveraging their position to capture
margin that previously accrued to producers or carriers. Their market power
derives from control of the matching infrastructure: a seller who abandons
the platform loses access to the buyer network; a buyer who abandons the
platform loses access to the supplier network.
Unlike traditional merchant intermediaries — who bought and sold goods,
bearing inventory risk — platform intermediaries transfer inventory risk to
the counterparties. The platform earns commission on each transaction but
holds no stock; the asymmetry concentrates profit in the intermediary while
concentrating risk in producers and carriers.
## Monopsony and Buyer Power
Monopsony is market power on the buyer's side: a situation in which a
single buyer (or a small number of buyers acting in concert) faces many
sellers. In supply chains, monopsony manifests when a large retailer or
manufacturer is the dominant customer for a category of suppliers. The
buyer's ability to credibly threaten to switch suppliers — or to reduce
purchase volumes — gives it negotiating leverage that suppliers cannot
easily counter.
Buyer power is exercised through price pressure (demanding lower unit costs
in each contract renegotiation), terms pressure (extending payment terms,
imposing fines for delivery failures), and specification creep (adding
requirements without cost compensation). Suppliers facing strong buyer power
are systematically squeezed: their margins decline, their ability to invest
in quality and capacity is constrained, and their bargaining position
deteriorates further as the buyer grows.
The long-run consequence of sustained monopsony pressure is supplier
consolidation — weaker suppliers exit, leaving the buyer with fewer but
larger suppliers — and supply fragility, as the surviving suppliers have
insufficient margin to hold safety stock or invest in resilience.
## Market Concentration and Single-Source Dependencies
Single-source dependency occurs when a supply chain relies on one supplier
for a critical component or material with no readily substitutable
alternative. Single-source situations arise from supplier specialisation
(only one firm has the required capability), geographic concentration (all
competent suppliers are in one region), or deliberate buyer policy (choosing
the best supplier and extracting maximum scale economies).
Single-source dependencies concentrate supply chain risk. When a
single-sourced supplier fails — due to fire, flood, earthquake, insolvency,
or geopolitical disruption — the buyer has no immediate alternative. The
semiconductor industry exemplifies this: certain advanced logic chips can
only be produced by one or two foundries globally, making entire sectors
of the world economy dependent on the operational continuity of a small
number of facilities in Taiwan and South Korea.
From a market structure perspective, single-source suppliers possess
temporary monopoly power: during a supply disruption, they can charge
prices far above their normal level, because no substitute exists. Smith's
analysis of monopoly price — that it is the highest that can be squeezed
from buyers — applies directly: a disrupted single-source supplier in a
critical category faces demand that is inelastic in the short run.