Research libraryInventory as a Decision
Chapter 14 of 14 · Part IV · Draft web edition
GFT would implement a phased inventory decision system whose authority grows only with measured reliability, service and cash evidence.
The cloth is woven from this chapter's 5 exhibits: each weft is one exhibit's own data, normalised; each warp group is a section. The probe reads the exhibit's own value where it crosses. Procedural visualisation, not a measurement.
Read-out
Illustrative GFT proposed sequence across four gated phases (Phase 0 setup, Phase 1 capture and review, Phase 2 shadow and pilot, Phase 3 network and contract optimisation). Positions 0 to 12 represent sequential stage gates rather than promised calendar months or a deployed factory schedule.
Unit: illustrative programme stage index (0 to 12). Status: illustrative. Sources: S05, S07, S27, S31. Illustrative figures are teaching examples, not measured factory results.
An emerging-market apparel manufacturer should never deploy automated ordering or multi-location inventory optimisation on top of an unreconciled stock ledger.[S07][S1402] Green Future Tech Limited (GFT), Hong Kong SAR, recommends a four-stage gated sequence in which operational authority expands only after the factory proves that its physical records, replenishment rules, and working-capital controls hold under real operating exceptions.[S05][S27][S31] Phase 0 locks the item, unit, ownership, and bill-of-material boundary before capital is committed; Phase 1 launches transaction capture, quality-release discipline, and planner-reviewed reorder rules; Phase 2 tests candidate policies in shadow mode and a bounded pilot against pre-registered service and cash gates; and Phase 3 extends the verified baseline to risk pooling, manufacturing postponement, and supplier contract flexibility.[S07][S08][S17][S23]
This staged discipline connects the macro thesis of the paper to the factory floor. Across Cameroon, about 95 percent of cotton fibre is exported raw while about 5 percent is processed locally, according to the inherited register, and the national development strategy restates a policy target of 50 percent local processing by 2030.[R06][R07] Those benchmarks frame the industrial opportunity, yet they do not tell a cut-make-trim garment plant when to release cash for woven twill, dyed jersey, sewing thread, zips, labels, or cartons.[R06][S07] Within GFT's three-part Cameroon textile programme, prepared on 31 January 2024 with source-refresh notes retained in 2026, the feasibility design defines the product mix and cash envelope, the performance-management design specifies operating cadences and accountability, and the digital strategy introduces decision support only after transaction truth works.[S01][S1402] No factory deployment or realised saving is claimed here; instead, this chapter sets out the roadmap, role charter, measurement contract, and stop rules required to make inventory policy verifiable.[S05][S09]
14.1
Read-out
Illustrative arithmetic waterfall. Starts with 1,000 physical pieces on hand in the book ledger, subtracts 100 quarantined pieces awaiting quality disposition to reach 900 accepted usable pieces, and subtracts 200 validly reserved pieces committed to active orders to leave 700 unreserved usable pieces available for new promises. Reservations must not be subtracted a second time if demand has already been netted. S07, S15 and S31 inform the separation of physical, inspected and committed states; all quantities are teaching assumptions.
Unit: illustrative component or garment pieces. Status: illustrative. Sources: S07, S15, S31. Illustrative figures are teaching examples, not measured factory results.
Read this exhibit in its chapter ↗14.1 · Introduction
Before a garment factory signs its first bulk fabric purchase order or configures a replenishment formula, leadership must lock the boundary of what counts as identifiable, usable stock.
Exhibit 07, chapter 02: Book on-hand
14.2 · Item identity, bill-of-material versions and stock states form the prerequisite register
Phase 0 builds an unambiguous item and specification register for every raw material, trim, sub-assembly, and finished stock-keeping unit (SKU).
Exhibit 07, chapter 02: Book on-hand
14.3 · Baseline physical wall-to-wall reconciliation and local input collection precede parameter entry
Phase 0 closes with a wall-to-wall physical count and structured local data collection.
Exhibit 07, chapter 02: Quarantine hold
14.1 · the bodyThe film above follows these sub-steps.
Before a garment factory signs its first bulk fabric purchase order or configures a replenishment formula, leadership must lock the boundary of what counts as identifiable, usable stock.[S07][S27] In GFT's proposed Phase 0 setup stage, engineering, stores, quality, and finance teams establish the master records and physical baselines that every ordering calculation requires.[S07][S1402] Skipping this preparation mixes incompatible fabric widths, unapproved shade lots, and inconsistent units of measure inside the same item code, stalling production lines even while the balance sheet reports ample material.[S07][S09]
Phase 0 builds an unambiguous item and specification register for every raw material, trim, sub-assembly, and finished stock-keeping unit (SKU).[S01][S07] Each finished SKU distinguishes style, construction version, colourway, and size rather than pooling demand at the parent style level.[S01][S06] Fabric and trim definitions specify fibre composition, weight in grams per square metre, cuttable width, shrinkage allowance, and shade-lot tolerances.[S07] Because cutting rooms cannot mix dye lots within a garment bundle without visible shade defects, the stock ledger tracks lot and roll identity inside each item code.[S07][S31]
Phase 0 also standardises unit conversions and versioned bills of materials.[S07] Suppliers quote knitted fabric in kilograms, shipping documents record rolls, racks store linear metres, and sewing lines consume cut pieces.[S07][S29] Every bill of material carries an engineering version specifying gross component consumption per garment, measured or estimated cutting waste from WP06, and permitted substitutions.[S07][S1402] Before transactions begin, the database enforces mutually exclusive status buckets: available (inspected, released, and unreserved), reserved (allocated to a confirmed order), quarantine (awaiting inspection), rejected (failed quality release), and customer-supplied (held in bailment without factory title).[S07][S09][S27] Only available stock may be netted against new demand when calculating available-to-promise quantities or reorder triggers.[S05][S07]
Phase 0 closes with a wall-to-wall physical count and structured local data collection.[S27][S1402] Following public-sector cycle-counting control principles, physical verification separates the counter from the supervisor who reconciles the ledger and approves adjustments.[S27] Every roll, cone, and carton is tagged with its verified item code, lot identifier, measured quantity, ownership status, and quality state before the opening balance is certified.[S27][S31]
Concurrently, procurement and finance compile dated local operational parameters.[S12][S1402] Every supplier is documented with written minimum order quantities, pack multiples, quoted lead times, Incoterms 2020 delivery points, and payment milestones across deposits, shipment, and invoice acceptance.[S03][S18][S29] For imported inputs, planners establish a timestamp template informed by World Customs Organization time-release methods so shipments record vessel arrival, declaration, inspection, tax settlement, gate release, inland carriage, and factory quality release as separate intervals.[S12][S30] Unmeasured route parameters or carrying-cost components remain explicit assumptions with a named owner role and review date.[S09][S1402]
The progression of this preparatory work and its relationship to later stages is structured in Exhibit 58.[S05][S07][S27][S31]
As Exhibit 58 shows, phases overlap only where data collection prepares the evidence gate for the next tier, never where authority is widened prematurely.[S07][S27] The horizontal index from 0 to 12 is an illustrative sequence scale rather than a fixed twelve-month calendar promise: if a plant needs extra time at index 3 to resolve receiving discrepancies or unverified bill-of-material yields, Gate 0 blocks entry into Phase 1 replenishment rules until the boundary is clean.[S07][S27][S1402] This roadmap exhibit cannot establish how many calendar weeks a specific Cameroon facility will need, as duration depends on SKU count, supplier responsiveness, and storehouse staffing.[S1402]
Gate 0 blocks entry into Phase 1 replenishment rules until the boundary is clean
S07, S27, S1402 · illustrative
14.4
Once Gate 0 confirms verified opening balances, versioned bills of materials, and explicit stock states, the factory enters Phase 1.[S07][S27] Phase 1 has two objectives: maintaining transaction truth across every physical movement from the receiving bay to the sewing line, and operating simple, planner-reviewed replenishment rules that prevent line-stopping shortages and cash-draining over-orders without complex optimisation software.[S05][S27][S31]
Once Gate 0 confirms verified opening balances
S07, S27
Inventory accuracy degrades whenever physical movements outrun transaction recording.[S15][S31] Phase 1 enforces a four-event capture chain.[S07][S31] First, upon gate arrival, the storekeeper logs a physical receipt against the purchase order, recording arrival time, carrier reference, and pack count; following the ship-to-receive reconciliation principles in the GS1 and Auburn University Project Zipper study, any mismatch between shipping documents and physical tallies generates an immediate discrepancy record rather than a silent edit.[S27][S31] Second, inbound goods enter quarantine automatically upon unloading and cannot be allocated until quality assurance completes physical and shade inspection and signs a release voucher moving accepted stock to available.[S07][S31]
Third, movement from the warehouse to the cutting room requires a complete-kit issue check.[S07][S19] The planner verifies component completeness across the versioned bill of materials before releasing the work order, transitioning issued quantities from reserved stock to tracked work in progress (WIP).[S07][S19] Fourth, unused roll remnants and off-shade panels pass through a return-inspection gate so partial rolls are re-measured in linear metres before returning to available stock.[S07][S27] Continuous cycle counting scaled by item criticality verifies this chain: high-value A fabrics and line-stopping C trims are counted on blind sheets omitting book balances, and as retail RFID cycle-count studies confirm, accuracy depends on physical discipline, tag read completeness, and count duration rather than hardware alone.[S01][S15][S16][S27][S1401] Variances exceeding tolerance trigger a recount and root-cause classification before an authorised supervisor updates the ledger.[S27]
In Phase 1, replenishment uses auditable rules reviewed by a human planner on a fixed rhythm aligned with GFT's performance-management design.[S05][S1402] Repeat fabrics and trims follow either a continuous-review reorder-point (ROP) rule or a periodic-review order-up-to (OUT) rule across A, B, and C segments, while institutional tenders and seasonal capsules follow time-phased material requirements planning (MRP) explosions tied to firm cutting dates.[S01][S05][S06][S07][S1401] Phase 1 embeds these rules in three cadences:[S27][S1402]
available stock plus firm receipts less reservations, compare against reorder points and order-up-to levels, apply minimum lots and pack multiples, and submit proposals for finance sign-off.[S03][S05][S1401]14.7
Passing Gate 1 requires documented proof that physical-to-book stock accuracy, quarantine segregation, and weekly planner review have operated reliably across consecutive monthly audit cycles.[S27][S1402] Only then does the factory advance to Phase 2, where statistical safety-stock calibration, demand-forecast integration, and constrained order optimisation are tested against the Phase 1 baseline.[S05][S22][S23]
In early Phase 2, candidate replenishment rules are evaluated offline through point-in-time historical replay and discrete-event stochastic simulation, following Chapter 13.[S19][S22][S23] Point-in-time replay requires that the engine see only the forecast vintage, usable stock, open orders, and lead-time sample recorded on each review date.[S22][S23] As inventory learning research shows, demand and supply observations are frequently censored: stockouts truncate recorded sales below requested demand, and open orders right-censor lead times.[S22] Ignoring censoring overstates the benefit of stock-reduction rules.[S22]
Phase 2 also uses repeated stochastic simulation to stress-test reorder points, periodic-review intervals, and seasonal critical-fractile rules across synthetic demand and lead-time paths.[S05][S06][S23] Integrating random and conditional sampling across high-demand and delayed-supply regimes, and representing finite cutting and sewing buffers where breakdowns or quality holds affect flow, reveals upper-tail disruption behaviour.[S19][S23][S24] Next, the candidate engine runs in live shadow mode, logging weekly recommended quantities alongside the human planner's orders without transmitting supplier instructions.[S23][S1402]
Once shadow comparisons confirm that the policy respects pack constraints, avoids duplicate ordering during outages, and improves the shortage-versus-cash trade-off, Phase 2 launches a bounded field pilot.[S03][S05][S23] The pilot consumes demand and residual error distributions from WP04 under WP14 reproducibility controls, assigning a matched group of repeat fabrics and trims to the calibrated policy alongside a baseline group.[S01][S05][S23] Every recommended lot is checked against the cash ceiling, rack capacity, and supplier minimums; if a WP04 feed fails validation, a cycle count uncovers a discrepancy, or a multi-item allocation is infeasible, the SKU reverts immediately to its Phase 1 manual rule.[S03][S05][S09][S27][S1402]
14.10
Only after passing Gate 2, proving that item-level replenishment rules work on verified stock data and survive supply exceptions, should leadership enter Phase 3.[S07][S08][S17] Phase 3 widens the decision boundary to structural supply-chain choices: risk pooling across shared materials, manufacturing postponement, multi-location distribution requirements planning (DRP), and risk-sharing supplier contracts.[S07][S08][S17] Attempting these manoeuvres before Phase 1 and Phase 2 hold compounds coordination failures across warehouses and counterparties.[S07][S1402]
In apparel making, holding a pooled buffer of undyed greige fabric, white base fabric, or shared core-dyed twill and postponing final dyeing, printing, cutting, or badging until firm customer orders arrive can reduce finished-goods overage risk.[S06][S17] Empirical research on Japanese apparel firms shows that postponement is conditional: manufacturing postponement improved inventory performance when aligned with operational control, whereas product-planning postponement could increase inventory when downstream retail control was externalised.[S17]
GFT evaluates any Phase 3 postponement or fabric-pooling proposal as a coupled inventory-and-capacity test rather than a simple square-root calculation.[S05][S17][S19] Pooling greige or base-dyed fabric reduces safety-stock variance only if downstream styles share identical technical fabric specifications under versioned bills of materials, and if remaining conversion stages (piece dyeing, printing, quality release, cutting, sewing, and finishing, coordinated with WP15 and WP20) fit inside the customer delivery window.[S07][S17][S19] If piece dyeing or curing adds rework variance or batch queues, upstream fabric pooling can increase work-in-progress congestion and late deliveries.[S17][S19]
Phase 3 evaluates multi-location replenishment and flexible supplier contracts across the whole chain.[S07][S08] When a manufacturer operates an up-country fabric store and a coastal garment plant, distribution requirements planning (DRP) coordinates echelon stock rather than letting each site pad an independent reorder point.[S07][S24] Because stochastic replenishment delays interact with local ordering rules to amplify upstream order variance (the bullwhip effect), echelon visibility prevents a coastal cutting room and an up-country storehouse from double-counting the same buffer.[S07][S24]
When procurement negotiates framework agreements with call-off options, reserved mill capacity, split deliveries, or buyback clauses, Phase 3 models the contract across both balance sheets.[S08][S18] Buyback and quantity-flexibility terms reallocate overage and underage risk between buyer and supplier, but pushing inventory onto an under-capitalised supplier without fair compensation or liquidity support can trigger insolvency, unannounced subcontracting, or quality shortcuts.[S08][S10][S18][S25] International Labour Organization garment studies show how volatile buyer order changes, compressed lead times, and price pressure transmit into wage pressure and excessive worker overtime.[S10][S11] Phase 3 therefore audits flexible purchasing terms against OECD garment due-diligence standards and verified subcontracting maps before adoption.[S20][S25]
Interlude · the cloth half-woven
Woven: sections 14.0 to 14.10Still to weave: 14.13 to 14.19
14.13
A recurring failure in industrial digitalisation is treating a software screen or an optimisation script as the decision-maker.[S1402] Dashboards display signals and solvers compute conditional trade-offs, but neither can inspect a damp carton, negotiate credit, or bear accountability for an obsolete stock write-down.[S09][S27][S1402] Across all four phases, GFT assigns every parameter, transaction event, override, and stage gate to a named functional role rather than to an automated system or an invented persona.[S27][S1402]
quarantine and rejected states, verifies shade-lot continuity, and signs the release moving material into available stock.[S07][S31]The allocation of these recurring responsibilities across operational frequency and commitment authority is mapped in Exhibit 59.[S27][S1402]
Read-out
Illustrative GFT governance mapping based on segregation-of-duties principles in S27 and operational practice in S1402. Horizontal axis scores operational execution frequency (0 = quarterly/gate review, 10 = continuous shift capture); vertical axis scores capital and policy commitment authority (0 = execution within fixed rules, 10 = factory-wide cash and gate charter).
Unit: illustrative governance scale (0 to 10). Status: illustrative. Sources: S27, S1402. Illustrative figures are teaching examples, not measured factory results.
As Exhibit 59 illustrates, high-frequency shift actions (dock receipt logging, blind counting, and quarantine inspection) are separated from high-authority capital and ledger adjustments (cash-ceiling sign-off, discrepancy write-offs, and phase-gate promotion).[S27][S1402] The coordinates from 0 to 10 are illustrative governance indices visualising segregation of duties rather than empirical workload measures, and cannot replace formal corporate delegations or statutory audit procedures.[S09][S27]
The coordinates from 0 to 10 are illustrative governance indices visualising segregation of duties…
S09, S27 · illustrative
To make role accountability operational, GFT's architecture requires an append-only decision log for every policy change and order override.[S27][S31][S1402] Whenever a planner modifies a reorder point, alters a lead-time assumption, or overrides a recommended order quantity, the log records six fields: decision identifier, timestamp, accountable role, frozen input snapshot (usable stock, open receipts, reservations, forecast vintage, and policy version), quantitative change, and structured reason code.[S03][S05][S31] Monthly reviews inspect the distribution of override reasons: if planners repeatedly override a rule upward because shipments arrive damaged or late, leadership recalibrates the supplier lead-time and acceptance distribution or re-qualifies the supplier rather than hiding the override.[S27][S30][S1402]
14.16
Unadjusted book stock
Unadjusted book stock: total 15,000. Running total 15,000 thousand XAF (illustrative worked case) · illustrative
An inventory policy can look successful on a narrow warehouse metric while quietly damaging delivery, exhausting cash, or transferring pressure onto workers and suppliers.
Count discrepancy
Count discrepancy: removes 1,000. Running total 14,000 thousand XAF (illustrative worked case) · illustrative
Quarantine hold
Quarantine hold: removes 1,500. Running total 12,500 thousand XAF (illustrative worked case) · illustrative
Reserved for cut
Reserved for cut: removes 4,500. Running total 8,000 thousand XAF (illustrative worked case) · illustrative
Available unreserved
Available unreserved: total 8,000. Running total 8,000 thousand XAF (illustrative worked case) · illustrative
Reorder-point protection
Reorder-point protection: removes 6,363. Running total 1,637 thousand XAF (illustrative worked case) · illustrative
Margin above ROP
Margin above ROP: total 1,637. Running total 1,637 thousand XAF (illustrative worked case) · illustrative
The method behind it: Worked example.
Illustrative arithmetic waterfall from the worked case for navy twill fabric (2,500 XAF/metre). Opening book value (15,000 thousand XAF for 6,000 m) less count discrepancy (-1,000), quarantine hold (-1,500), and confirmed reservation (-4,500) yields 8,000 thousand XAF (3,200 m) of available unreserved stock; deducting the reorder-point buffer (-6,363 thousand XAF for 2,545 m) leaves 1,637 thousand XAF (655 m) above the trigger.
Unit: thousand XAF (illustrative worked case). Status: illustrative. Sources: S02, S05, S09, S31. Illustrative figures are teaching examples, not measured factory results.
14.16 · the bodyExhibit 61 above; its figures are illustrative where marked.
An inventory policy can look successful on a narrow warehouse metric while quietly damaging delivery, exhausting cash, or transferring pressure onto workers and suppliers.[S05][S10][S20] GFT evaluates inventory performance through a balanced measurement contract in which every metric shares an explicit physical boundary, time window, numerator, denominator, and source event.[S05][S09][S30][S31]
The first pillar is stock truth by state: exact-match bin accuracy, absolute discrepancy across available, reserved, and quarantine states, and discrepancy closure time.[S15][S16][S27] The second pillar is usable-receipt supply timing: following World Customs Organization time-release principles and World Bank logistics tracking, supplier lead time runs from purchase-order approval to post-inspection available release, reported via the median, 90th percentile, and right-censored order count.[S12][S22][S30]
The third pillar separates item availability from customer promise fulfilment.[S05] Cycle service level measures replenishment cycles ending without a stockout, whereas unit fill rate measures requested units satisfied immediately from usable stock divided by total requested units (including documented stockout requests).[S05][S22] Neither equals customer order on-time-in-full (OTIF), which requires complete order delivery across all sizes and trims by the confirmed promise date.[S05][S07] Alongside external OTIF, the plant tracks complete-kit readiness and material-caused line stoppage hours so lines are not starved by a missing C-item trim.[S07][S19][S1401] The fourth pillar tracks working capital and obsolescence: pre-shipment cash-at-risk (cash in deposits, transit, quarantine, and work in progress not yet backed by an accepted receivable under programmes such as IFC post-shipment supplier finance), aged stock share, IAS 2 write-downs to net realisable value, and expedite spend.[S03][S09][S18]
The fifth pillar enforces social and commercial guardrails.[S10][S11][S20] Cutting fabric and trim buffers without reducing lead-time uncertainty causes late kit releases.[S07][S24] Recovering late kits by forcing sewing operators into unscheduled overtime or delaying supplier payments beyond agreed terms creates an accounting illusion paid for by workers and suppliers.[S10][S11][S20] Grounded in International Labour Organization garment findings and OECD due-diligence guidance, GFT treats material-delay overtime hours and overdue supplier payment days as hard guardrails: breaching either fails the policy gate regardless of stock reductions.[S10][S11][S20]
As Exhibit 60 demonstrates, every metric pairs a numerator with an explicit denominator, event boundary, cadence, and owner role.[S05][S09][S27] Evaluating all seven rows together at each gate prevents inflating fill rate via aged stock or squeezing cash-at-risk via cutting stoppages and worker overtime.[S05][S09][S20] Because this table defines a measurement contract rather than reporting empirical results, numerical thresholds must be calibrated locally during Phase 0 and Phase 1 before Gate 2 is judged.[S1402]
The financial reconciliation from unadjusted book stock to usable unreserved fabric and safety protection in this illustrative case is shown in Exhibit 61.[S02][S05][S09][S31]
As Exhibit 61 shows, nearly half of the 15,000 thousand XAF opening book stock is unavailable once the 1,000 thousand XAF count error, 1,500 thousand XAF quarantine hold, and 4,500 thousand XAF reservation are deducted.[S07][S09][S31] Of the remaining 8,000 thousand XAF in available fabric, 6,363 thousand XAF covers expected demand and stochastic lead-time protection over the 16-day horizon, leaving 1,637 thousand XAF above the trigger.[S05][S24] This waterfall illustrates the reconciliation method on constructed inputs rather than an observed Cameroon factory balance sheet.[S09]
14.19
Exhibit 628 paragraphs step it
Read-out
Illustrative GFT conditional decision tree governing stage-gate reviews across Phases 0 to 3. Every failed gate routes to a specific operational, commercial, or sourcing remedy rather than permitting unverified expansion.
Unit: . Status: illustrative. Sources: S05, S22, S23, S27. Illustrative figures are teaching examples, not measured factory results.
A credible engineering recommendation must state in advance what evidence would cause GFT to halt expansion, revert to a simpler method, or recommend changing the commercial promise.[S05][S23][S1402] Widening automation when a gate fails accelerates the rate at which bad data or underfunded commitments generate losses.[S27][S1402]
GFT defines three conditional fallback branches whenever a stage gate fails:[S05][S27][S1402]
The decision logic linking stage-gate audit outcomes to these remedies is summarised in Exhibit 62.[S05][S22][S23][S27]
As Exhibit 62 shows, progression to scale requires passing three sequential verification gates: stock truth, cash-feasible service, and bounded supply-shock exposure.[S05][S23][S27] A failure at any node routes management to a targeted structural intervention (manual, promise, or sourcing) and requires a fresh gate audit before authority widens.[S27][S1402] As a logical decision diagram, this exhibit defines the governance protocol rather than predicting which branch a pilot will trigger.[S23]
To translate this framework into an operational Phase 0 launch in Cameroon or a comparable apparel corridor, the sponsoring enterprise must assemble six local evidence packages outside the scope of this paper:[S12][S1402]
Check the record
Every knot is a source this chapter cites; select one to read its record, or filter the register by grade. Publication dates and inherited-source limits stay explicit. Read the paper's full evidence summary.
36 sources · 414 citation marks on this pageMost cited: S27, 47 times
Grade AGrade BGrade CKnot size: citations on this page
All 36 records shown
R03 · Grade C · inherited record
Inherited evidence R03
Company profile: more than 220,000 cotton producers supported in northern Cameroon; nine ginning plants; two oil mills.
Publication date unrecorded. Inherited source-text record. The original publication has not been independently reopened for this web edition.
R06 · Grade C · inherited record
Inherited evidence R06
About 95 percent of cotton fibre exported raw against 5 percent processed locally; industrialisation target of 50 percent local processing.
Publication date unrecorded. Inherited source-text record. The original publication has not been independently reopened for this web edition.
R07 · Grade C · inherited record
Inherited evidence R07
SND30 restates the 50 percent local-processing target by 2030.
Publication date unrecorded. Inherited source-text record. The original publication has not been independently reopened for this web edition.
R09 · Grade C · inherited record
Inherited evidence R09
Camtext SA integrated cotton-to-textile project, US$300 million (180 billion XAF); Panafritex and Arise with SODECOTON, CNPS and Marlo; 12 November 2025.
Publication date unrecorded. Inherited source-text record. The original publication has not been independently reopened for this web edition.
R12 · Grade C · inherited record
Inherited evidence R12
CICAM capacity utilisation, July 2023 report: Garoua 33.7 percent, CICAM 1 48.9 percent, CICAM 2 10.83 percent; underutilisation cost about CFAF 2 billion in 2020.
Publication date unrecorded. Inherited source-text record. The original publication has not been independently reopened for this web edition.
R27 · Grade B · inherited record
Inherited evidence R27
AI at scale in fashion: inventory cost down 35 to 40 percent; forecast accuracy up 20 to 30 percent; revenue per customer up 15 to 25 percent; forecast errors cut 20 to 50 percent; lost sales down up to 65 percent; 75 percent of executives prioritising; sector operating-profit potential US$150 to 275 billion over three to five years.
Publication date unrecorded. Inherited source-text record. The original publication has not been independently reopened for this web edition.
R32 · Grade C · inherited record
Inherited evidence R32
CFA franc to US dollar reference rates; franc pegged to the euro at 655.957. The GFT study's method note places the franc near 590 to 610 per US dollar across the 2023 study window and near 563 to 577 more recently, and treats currency conversions as estimates.
Publication date unrecorded. Inherited source-text record. The original publication has not been independently reopened for this web edition.
c14-S01 · Grade B
Supply chain fundamentals and segmentation analysis
This resource contains lecture slides on supply chain fundamentals and segmentation analysis.
2006. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c14-S02 · Grade B
Inventory management I: Level demand, EOQ, sensitivity
This resource contains lecture slides on inventory management, level demand, EOQ, and sensitivity.
2006. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c14-S03 · Grade B
Inventory management II: EOQ extensions and discounts
This resource contains lecture slides on inventory management, EOQ extensions, discounts, exchange curves, etc.
2006. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c14-S05 · Grade B
Inventory management IV: Probabilistic demand and safety stock
This resource contains lecture slides on inventory management, probabilistic demand, and safety stock.
2006. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c14-S06 · Grade B
Inventory management VI: Fashion, style and perishable goods
These may include revenue from salvage or cost associated with disposal.
2006. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c14-S07 · Grade B
Inventory management VII: MRP and DRP systems
This resource contains lecture slides on inventory management and MRP and DRP systems.
2006. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c14-S08 · Grade B
Supply chain contracts
This resource contains lecture slides on supply chain contracts.
2006. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c14-S09 · Grade A
IAS 2 Inventories
Inventories are measured at the lower of cost and net realisable value.
n.d.. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c14-S10 · Grade A
Purchasing practices and working conditions in global supply chains: Global Survey results
In total 1,454 suppliers from 87 countries responded to the questionnaire.
2017-06-09. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c14-S11 · Grade A
Purchasing practices and low wages in global supply chains: Empirical cases from the garment industry
It particularly examines how lead firms' purchasing practices affect wages, and how they improve working conditions in their supply chains.
2017-05-15. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c14-S12 · Grade A
Logistics Performance Indicators: LPI Report 2025
Supply chains are only as good as their weakest link.
2025. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c14-S13 · Grade A
Trade facilitation
The TFA contains provisions for expediting the movement, release and clearance of goods, including goods in transit.
n.d.. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c14-S15 · Grade B
The Performance and Reliability of a RFID Cycle-Count: A Quantitative Approach from Fashion Retail
As a starting point, we compare in the present study the quality of a RFID cycle-count to a physically conducted count.
2013. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c14-S16 · Grade B
The impact of RFID technologies on inventory accuracy in the apparel retailing: Evidence from the field
From those findings, a trend of the inventory accuracy as a function of the time required for RFID inventory counts is empirically derived.
2015. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c14-S17 · Grade B
The Effects of Postponed Manufacturing and Product Planning on Inventory Performance: An Empirical Analysis of Japanese Apparel Firms
Postponement of decision making in manufacturing and product planning has been adopted in many industries.
2020-03-31. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c14-S18 · Grade A
Global Trade Supplier Finance
The GTSF Program provides post-shipment finance to suppliers based upon acceptance of receivables by select buyers approved by IFC.
2026. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c14-S19 · Grade A
Simantha: Simulation for Manufacturing
Specifically, it focuses on asynchronous production lines with finite buffers.
2022-01-05. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c14-S20 · Grade A
OECD Due Diligence Guidance for Responsible Supply Chains in the Garment and Footwear Sector
This Guidance will also support enterprises to implement the due diligence recommendations contained in the UN Guiding Principles on Business and Human Rights.
2018-03-07. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c14-S22 · Grade B
Learning to Order for Inventory Systems with Lost Sales and Uncertain Supplies
A key challenge in this learning problem is that both demand and supply data can be censored; hence only truncated values are observable.
2023-10-31. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c14-S23 · Grade B
Inventory Management Under Stochastic Demand: A Simulation-Optimization Approach
The integration of random and conditional sampling techniques highlights critical periods of high demand, providing deeper insights into demand patterns.
2024-06-27. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c14-S24 · Grade B
The impact of stochastic lead times on the bullwhip effect
The assumption that the lead time is constant is rather unrealistic.
2015-03-20. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c14-S25 · Grade A
Due diligence essentials for responsible garment and footwear
Subcontracting is also common practice in the sector.
2026-02-26. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c14-S27 · Grade A
INV-44 Cycle Counting Process
The cycle counting process is used to assess stock levels within an inventory organization and correct any discrepancies.
2023-10-24. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c14-S28 · Grade B
Lean Thinking Part II
Cycle time includes processing time and wait time
2012. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c14-S29 · Grade A
Incoterms 2020
It recognises that not all commercial trade transactions from the seller to the buyer are conducted by a third-party carrier.
2020. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c14-S30 · Grade A
Time Release Study Guide: Version 4
Improvements have been made to questionnaire design and sampling techniques to ensure data accuracy.
2025. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c14-S31 · Grade B
EPC/RFID Data Exchange Study: Project Zipper Executive Summary
During the one-year study, Auburn University’s RFID Lab team examined the data obtained from eight brand owners and five retailers.
2018. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c14-S1401 · Grade B
Inventory management V: Backorder costs, implied costs, extensions, A and C items
This resource contains lecture slide on inventory management, backorder costs, implied costs, extensions, and A and C items.
2006. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c14-S1402 · Grade B
Inventory management VIII: Inventory management and optimization in practice
This resource contains lecture slides on inventory management and optimization in practice.
2006. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗S07 MIT OpenCourseWare. 2006.
S1402 MIT OpenCourseWare. 2006.
S05 MIT OpenCourseWare. 2006.
S27 North Carolina Office of the State Controller. 2023-10-24.
S31 GS1 US and Auburn University RFID Lab. 2018.
S08 MIT OpenCourseWare. 2006.
S17 Japan Marketing Academy, Quarterly Journal of Marketing. 2020-03-31.
S23 arXiv, Sarit Maitra. 2024-06-27.
R06 Cameroon Trade Hub. Publication date unrecorded; inherited source-text check.
R07 Ecofin Agency. Publication date unrecorded; inherited source-text check.
S01 MIT OpenCourseWare. 2006.
S09 IFRS Foundation. n.d..
S06 MIT OpenCourseWare. 2006.
S29 International Chamber of Commerce. 2020.
S12 World Bank. 2025.
S03 MIT OpenCourseWare. 2006.
S18 International Finance Corporation. 2026.
S30 World Customs Organization. 2025.
S15 Association for Information Systems Electronic Library. 2013.
S19 National Institute of Standards and Technology. 2022-01-05.
S16 University of Modena and Reggio Emilia institutional repository. 2015.
S1401 MIT OpenCourseWare. 2006.
S22 arXiv, Chen, Jiang, Zhang and Zhou. 2023-10-31.
S24 arXiv, Michna, Nielsen and Nielsen. 2015-03-20.
S10 International Labour Organization. 2017-06-09.
S11 International Labour Organization. 2017-05-15.
S20 OECD. 2018-03-07.
S25 OECD. 2026-02-26.
S02 MIT OpenCourseWare. 2006.
R32 Wise; XE. Publication date unrecorded; inherited source-text check.
S13 World Trade Organization. n.d..
S28 MIT OpenCourseWare. 2012.
R03 SODECOTON. Publication date unrecorded; inherited source-text check.
R09 Ecofin Agency. Publication date unrecorded; inherited source-text check.
R12 Business in Cameroon. Publication date unrecorded; inherited source-text check.
R27 McKinsey, The State of Fashion 2025. Publication date unrecorded; inherited source-text check.
Keep the thread · chapter 14 of 14
Move the shuttle along the rack to preview any chapter: its sections, exhibits and reading time. Draft web edition. This research is not investment, legal or tax advice; illustrative models are not measured factory results.
The paper's rack · 14 boltsBolt length: reading time
01Part I: Define the stock decision before buying the stock
GFT argues for measured, cash-constrained inventory decisions that protect usable material and customer commitments without manufacturing surplus.
02Part I: Define the stock decision before buying the stock
An inventory policy fails when it orders against quantities that are wrongly identified, reserved twice or unavailable for use.
03Part I: Define the stock decision before buying the stock
A high-value fashion line, a low-cost line-stopping trim and a repeat uniform fabric need different decision rules.
04Part II: Match replenishment rules to material and demand
The relevant lead time ends when approved material is usable, not when a supplier announces that it has shipped.
05Part II: Match replenishment rules to material and demand
Calculate protection against uncertainty with consistent time units, explicit service definitions and checks for non-normal or dependent demand.
06Part II: Match replenishment rules to material and demand
Order quantity must reflect holding costs, pack sizes, supplier minimums, time-phased needs and available cash.
07Part II: Match replenishment rules to material and demand
Limited selling windows make overage, underage and replenishment opportunities central to the order decision.
08Part III: Resolve constraints across the supply chain
Inventory optimisation must respect dependent material requirements, quality release and finite conversion capacity.
09Part III: Resolve constraints across the supply chain
Centralisation and postponement can reduce duplicated buffers while increasing transit time, concentration and conversion risk.
10Part III: Resolve constraints across the supply chain
Procurement should price usable delivery and shared risk rather than reward low quotes that create expensive disruption.
11Part III: Resolve constraints across the supply chain
A decision that reduces expected shortages may still be unaffordable once deposits, transit stock and receivables are included.
12Part IV: Prove the policy before widening its authority
A small transparent policy engine is more useful than an opaque optimiser that cannot explain missing data or infeasible orders.
13Part IV: Prove the policy before widening its authority
Backtests, simulations and a controlled operating pilot answer different questions and must be reported separately.
14Part IV: Prove the policy before widening its authority
GFT would implement a phased inventory decision system whose authority grows only with measured reliability, service and cash evidence.