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Research libraryInventory as a Decision

Chapter 07 of 14 · Part II · Draft web edition

A seasonal buy needs a recovery plan before the first unit is ordered

Limited selling windows make overage, underage and replenishment opportunities central to the order decision.

Sections
7
Exhibits
4
Minutes
26
Sources
12
EX 27 · 2,000: Critical fractile 0.5 (critical fractile as a probability)

The cloth is woven from this chapter's 4 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.

The chapter as a draft: 7 sections, 4 exhibit wefts, one shuttle.

Lead exhibit · 27TrajectoryillustrativeThe critical fractile changes when residual recovery changes
0.40.50.60.74,0003,0002,0001,0000

Read-out4,000: Critical fractile 0.7 (critical fractile as a probability)

Method and source

Illustrative arithmetic. Net selling revenue p is XAF 10,000, acquisition cost c is XAF 6,000, contractual shortage cost g is zero and residual handling h is zero. Thus Cu = 4,000. Labels are residual proceeds s in XAF, Co = c - s, and the plotted value is Cu/(Cu + Co), calculated before display rounding. These are teaching assumptions, not market prices or recommended service levels.

Unit: critical fractile as a probability. Status: illustrative. Sources: S06. Illustrative figures are teaching examples, not measured factory results.

The chapter's warpBar: share of the reading · square: an exhibit

Section 7.0 · Opening · 1 min · no exhibit of its own · one movement Go to section ↓

Overture · 1 min

A seasonal buy should be approved only when its demand evidence, final useful replenishment date, variant allocation and residual recovery route are explicit. The central decision is not how to avoid every stockout or every leftover unit. It is how much economic exposure to accept before demand is known, and which later decisions can still reduce that exposure. Green Future Tech Limited (GFT), Hong Kong SAR, therefore treats the initial quantity, any contingent second buy and the terminal exit as one policy. The single-period model supplies the marginal logic, but it does not supply the demand distribution, prove a salvage price or make a late receipt useful.[S06][S24] Every numerical case in this chapter is illustrative. No factory demand ledger, supplier quotation, returns history or realised recovery proceeds have been supplied, and no result below is a GFT operating claim.

¶ 01 · 2 sources

S06S24

7.14 min · 9 paragraphs · 1 exhibit

The single-period model prices both mistakes

Related · chapter 019 paragraphs step it

Related exhibit 03 · chapter 01Decision mapillustrativeEvery stock decision needs a purpose and an owner
Service-led reviewJoint promise and cash approvalRelease candidateFinance-led reviewCash committed before recovery →Delivery consequence if unavailable →Order-specific fabricApproved collar zipGeneric packagingSpeculative finished…

Read-outOrder-specific fabric: Cash committed before recovery 8, Delivery consequence if unavailable 9. Quadrant: Joint promise and cash approval

Method and source

Illustrative GFT decision charter informed by segmentation (S01), explicit service definitions (S05) and accountable discrepancy review (S27). Both axes run from 0 to 10 and are invented ordinal scores, not measured probabilities or monetary values. Each real item-location decision must separately name its service owner, cash owner, usable-stock boundary and next review; a matrix position does not assign those authorities.

Unit: illustrative ordinal screening score. Status: illustrative. Sources: S01, S05, S27. Illustrative figures are teaching examples, not measured factory results.

Read this exhibit in its chapter ↗
7.1 · Introduction · paragraph 1 of 9

A finite selling window changes the meaning of an ordering error. In a repeat-stock setting, an unmet request may remain a backorder until the next receipt. In a seasonal setting, demand can disappear when the window closes, while a unit left behind cannot be rescued by the next ordinary replenishment cycle. The decision must therefore compare the incremental loss from ordering too little with the incremental loss from ordering too much, over the same commercial horizon. This is the purpose of the single-period, or newsvendor, model.[S06]

Define p as net selling revenue per unit after variable selling costs but before acquisition cost, c as incremental acquisition cost at the required location and condition, s as residual proceeds per unit before residual handling, h as handling or disposal cost per residual unit, and g as any incremental contractual cost of failing to supply a unit. Underage cost is Cu = p - c + g. Overage cost is Co = c - s + h. The residual term can include salvage revenue or disposal cost, as the opened MIT teaching material allows, but each component needs a dated commercial basis rather than a standard percentage.[S06]

This construction deliberately excludes costs that do not change with the order decision. A fixed design expense already incurred does not alter the marginal quantity. A capacity-reservation fee belongs only if the decision actually changes that fee. Selling revenue must also be net of any expedite, commission or packaging expense that occurs only when a sale is made. Otherwise the model can count the same expense in both p and c, or call a full selling price incremental contribution when it is not.

For a continuous demand distribution with cumulative distribution F, the critical fractile is Cu / (Cu + Co). The order quantity satisfies F(Q*) = Cu / (Cu + Co) under the basic model. For discrete demand, choose the smallest feasible quantity whose cumulative probability reaches that ratio, then apply pack sizes and other constraints. The marginal interpretation is more useful than memorising the formula: an additional unit earns the underage margin when demand reaches it, but incurs the overage loss when demand stops before it.[S06]

The ratio is not a service promise chosen by a manager. It is an economic quantity implied by the cost model. A high critical fractile can justify a high probability of meeting demand when the lost contribution is large relative to residual loss. A low ratio indicates the opposite economic balance. Neither outcome is inherently virtuous. If the inputs imply a service level that conflicts with a contractual commitment, the business must change the commitment, the economics or the replenishment design, not conceal the conflict inside a forecast.

Exhibit 27 keeps price and acquisition cost fixed in an illustrative case and lowers net residual proceeds. As recovery weakens, overage becomes more expensive and the critical fractile falls. The line is arithmetic from the stated inputs, not an observed relationship in an apparel market.[S06]

The basic result carries restrictive assumptions. It uses one order decision, a known demand distribution, linear incremental costs and no later replenishment. It also assumes that the act of ordering does not change demand, that residual recovery is available at the stated value and that every unit has the same economics. A size-specific buy, a supplier option, a cash ceiling or a markdown that responds to leftover stock requires an extended model. The critical fractile remains a useful benchmark, but it is not a universal optimiser.

Contractual shortage costs deserve particular restraint. A documented cancellation charge or service credit can enter g if the incremental exposure is genuinely triggered by the shortage. Speculative damage to goodwill should not be converted into a precise cash penalty merely to justify more stock. If management wishes to consider that effect, it should appear as a separate scenario with an explicit and challengeable basis. The same caution applies to terminal stock: IAS 2 addresses measurement at the lower of cost and net realisable value, which is an accounting question distinct from the incremental overage cost used here.[S09]

7.23 min · 9 paragraphs · read with a related exhibit

Demand evidence must include the days when stock was unavailable

Related · chapter 019 paragraphs step it

Related exhibit 02 · chapter 01FlowillustrativeOne missing component can stop a complete order
Confirm uniform specificationAccept fabric, thread and labelsCheck approved zipVerify complete accepted kitRelease feasible orderOpen material exceptionSupply, approve change orrenegotiate

Read-outConfirm uniform specification. Starting point. Leads to Accept fabric, thread and labels.

Method and source

Illustrative uniform-order workflow based on dependent requirements and bill-of-material completeness (S07). Fabric, thread and labels are assumed accepted; the approved zip is unavailable. Release waits for an accepted receipt, an authorised specification change or a revised customer promise. No automatic substitution or installed GFT workflow is claimed.

Unit: proposed order-release decision. Status: illustrative. Sources: S07. Illustrative figures are teaching examples, not measured factory results.

Read this exhibit in its chapter ↗
7.2 · Introduction · paragraph 1 of 9

Recorded sales are not necessarily recorded demand. When a requested variant is unavailable, the resulting sales history can show zero units even though customers requested the item, accepted a substitute or abandoned the order. Research on lost-sales inventory systems identifies this as censoring: only truncated demand and supply values may be observable.[S22] A seasonal model fitted directly to those sales can therefore conclude that the missing variant has weak demand and repeat the shortage in the next buy.

The required record begins before the sale. For each request event, retain the item and variant requested, channel, event time, requested quantity, accepted order quantity, immediately fulfilled quantity, later fulfilled quantity, cancellation and substitution. Link the request to usable-stock exposure at that location and time. A customer who accepts another colour creates two related events: unmet demand for the original variant and fulfilled demand for the substitute. Combining them into one sale erases the allocation problem that the seasonal policy needs to solve.

Availability exposure needs an interval, not only a daily closing balance. A variant can begin the day in stock, sell out early and finish with a zero balance. Closing stock alone cannot distinguish a day with no requests from an afternoon of missed requests. The capture rule should record when usable availability became zero, when it resumed and whether the sales channel actually stopped accepting requests. Unknown exposure should remain unknown rather than being silently classified as no demand.

Cancellations also require separation. A customer may cancel because of delay, price, fit, a changed requirement or an offered substitute. Only some of those events represent demand that a larger seasonal buy would have retained. Treating every cancellation as a lost sale overstates latent demand just as treating every stockout day as zero demand understates it. The analysis should present bounds or scenarios when the reason cannot be established, rather than selecting whichever convention produces the more attractive purchase.

A practical demand table therefore distinguishes four quantities: requested demand, accepted demand, fulfilled demand and demand whose observation is censored. These are not interchangeable denominators. Unit fill rate concerns requested units filled immediately under a stated convention, while cycle service concerns whether a replenishment cycle experiences a stockout.[S05] For a seasonal policy, the commercial scorecard may also include accepted-order fulfilment by the promised date. That measure should not be relabelled as immediate fill.

WP04 owns demand estimation and forecast uncertainty. This chapter consumes a predictive distribution or a set of demand scenarios available at the buying date.[S22] It should not refit a precise distribution from a few visible sales and pretend that censoring, promotions and price changes are absent. Each order record needs the forecast vintage, observation window, stockout treatment and known commercial interventions. A later actual outcome must not be allowed to rewrite the distribution that was supposedly available when the initial order was approved.

Sparse evidence does not prevent a decision, but it changes the form of the answer. The planner can use explicitly illustrative low, central and high demand cases, calculate the exposure under each and show which assumption changes the chosen quantity. A single critical fractile applied to three invented distributions does not create statistical confidence. The value of the exercise is to reveal sensitivity and to identify which observations would most improve the next review.

Demand should also be retained at the variant level when sizes and colours are not interchangeable. Aggregating requests across a style can make total demand look well measured while concealing that the mix is unstable or observed only for variants that remained available. Where early-season sales will inform a second buy, the update must use the same request and exposure definitions as the initial forecast. Otherwise the apparent learning may simply reflect a change in data capture.

7.33 min · 8 paragraphs · 1 exhibit

A second buy is valuable only if usable stock arrives in time

Step 1 of 7Season selling window

Exhibit 28 · illustrativeA second order creates value only before the last useful receipt

0204060Season selling windowRead early demandSecond-order decisionFast usable receiptSlow usable receiptLast useful receiptRecovery window
0204060Season selling windowRead early demandSecond-order decisionFast usable receiptSlow usable receiptLast useful receiptRecovery window

Season selling window

Season selling window: from 0 to 56 (days from season launch, illustrative) · illustrative

A contingent replenishment order is an option on remaining demand, not an automatic remedy for a cautious initial buy.

Read early demand

Read early demand: from 14 to 21 (days from season launch, illustrative) · illustrative

Second-order decision

Second-order decision: from 21 to 22 (days from season launch, illustrative) · illustrative

Fast usable receipt

Fast usable receipt: from 22 to 42 (days from season launch, illustrative) · illustrative

Slow usable receipt

Slow usable receipt: from 22 to 63 (days from season launch, illustrative) · illustrative

Last useful receipt

Last useful receipt: from 55 to 56 (days from season launch, illustrative) · illustrative

Recovery window

Recovery window: from 56 to 70 (days from season launch, illustrative) · illustrative

Method and source · Exhibit 28

Illustrative planning geometry, not a supplier forecast. The season runs from day 0 to day 56. Early evidence is reviewed before a second-order decision at day 21. Both receipt scenarios begin after that decision. Fast usable receipt occurs at day 42, leaving selling time. Slow usable receipt occurs at day 63, after the last useful receipt at day 56, and therefore cannot be credited with ordinary seasonal sales. Durations are teaching assumptions.

Unit: days from season launch, illustrative. Status: illustrative. Sources: S04, S06, S24. Illustrative figures are teaching examples, not measured factory results.

7.3 · the bodyExhibit 28 above; its figures are illustrative where marked.

A contingent replenishment order is an option on remaining demand, not an automatic remedy for a cautious initial buy. Its value depends on what will be known at the second decision, how much unmet demand will remain, and whether the additional units can become usable before the commercial window closes. A supplier dispatch date is not the relevant endpoint. Production, carriage, receipt, inspection and quality release must finish early enough for the stock to meet demand. Stochastic-lead-time research cautions against replacing that chain with a fixed average.[S24]

Let t be the second-order decision date, L the realised usable-receipt lead time and T the last date on which an additional unit can usefully enter the selling or fulfilment process. The receipt contributes seasonal sales only in scenarios where t + L is early enough relative to T, and where residual demand exceeds sales that existing stock and earlier receipts can satisfy. A receipt after T may still create cash exposure and terminal stock, but it should not be credited with full-season contribution.

¶ 02

The comparison must include the cost of preserving the option. A supplier may require a capacity-reservation payment, a minimum call-off, a price premium or an earlier commitment than the planner would prefer. Supply-chain contract analysis is relevant because these terms allocate overage and underage risk between the parties rather than eliminating it.[S08] The planner should compare the whole policy with and without the option, including the reservation fee and the likely residual outcomes, rather than treating the second order as free flexibility.

¶ 03 · 1 source

S08

The initial and second quantities are connected. A larger initial buy reduces early shortages but also reduces the residual demand available to a later order and increases the stock that may need recovery. A smaller initial buy preserves learning but can sacrifice contribution before the second decision and can make the supplier option more valuable. The appropriate model therefore evaluates both decisions on common demand and lead-time scenarios. Time-phased inventory methods provide the fixed-horizon discipline, while the single-period model supplies the overage and underage economics.[S04][S06]

¶ 04 · 2 sources

S04S06

Exhibit 28 shows an illustrative season with an early demand read, a second-order decision and two usable-receipt paths. The fast path leaves selling time. The slow path arrives after the last useful receipt and enters the recovery window instead. The dates are constructed to make the timing test visible, not to describe a supplier.

In this illustration, the fast receipt at day 42 has until day 56 to contribute to seasonal sales. The slow receipt at day 63 has none of that window left. Counting both as equivalent supply would overstate the second option. The correct comparison uses scenario-specific sales, residual stock and cash. It also preserves the probability or scenario weight assigned to each lead-time path without presenting a sparse sample as a reliable distribution.[S24]

¶ 06 · 1 source

S24

A usable option can lose value even when its average lead time appears short. Supplier congestion may increase precisely when strong demand triggers the second buy, making demand and lead time adverse together. The second-order contract should consequently state the reserved capacity, call-off deadline, expected usable-receipt stages, acceptance rules and treatment of partial delivery. If those terms are not known, the scenario model should include failure to supply rather than assuming the reserved quantity is guaranteed.

¶ 07

The decision record at the second review should reconcile remaining requested demand, usable stock by variant, firm inbound supply, outstanding customer commitments and the recovery exposure of another order. A positive demand signal alone is insufficient. Strong early sales may have exhausted the very sizes that the proposed replenishment pack does not contain, while apparently weak sales may reflect stockout censoring.[S22] The option should be exercised only when its incremental expected outcome clears the approved commercial and cash conditions after those reconciliations.

¶ 08 · 1 source

S22

Interlude · the cloth half-woven

4 exhibits carry this chapter's argument.

Woven: sections 7.0 to 7.3Still to weave: 7.4 to 7.7

  1. 27The critical fractile changes when residual recovery changesTrajectory
  2. 28A second order creates value only before the last useful receiptSchedule
  3. 29A style can be overstocked while demanded sizes are missingControl map
  4. 30Residual goods require an approved recovery routeFlow
Hover or focus an exhibit to light its weft; select it to jump to it.

7.43 min · 9 paragraphs · 1 exhibit

Sizes and colours create non-interchangeable residuals

Step 1 of 4S

Exhibit 29 · illustrativeA style can be overstocked while demanded sizes are missing

IndigoForestNaturalS202M440L020XL020
IndigoForestNaturalS202M440L020XL020

S

S: Indigo 2, Forest 0, Natural 2 (illustrative units of unmet demand) · illustrative

A style total is not a sufficient inventory unit when the customer requests a particular size and colour.

M

M: Indigo 4, Forest 4, Natural 0 (illustrative units of unmet demand) · illustrative

L

L: Indigo 0, Forest 2, Natural 0 (illustrative units of unmet demand) · illustrative

XL

XL: Indigo 0, Forest 2, Natural 0 (illustrative units of unmet demand) · illustrative

The method behind it: Method.

Method and source · Exhibit 29

Constructed allocation case, not observed sales. Rows are S, M, L and XL; columns are Indigo, Forest and Natural. Demand by row is S [18,14,10], M [24,22,16], L [20,18,12], XL [10,8,6], totalling 178 units. Stock by row is S [16,16,8], M [20,18,20], L [22,16,12], XL [12,6,14], totalling 180 units. Each plotted cell is max(demand - stock, 0), totalling 16 units of unmet demand. No substitution is allowed.

Unit: illustrative units of unmet demand. Status: illustrative. Sources: S01, S06. Illustrative figures are teaching examples, not measured factory results.

7.4 · the bodyExhibit 29 above; its figures are illustrative where marked.

A style total is not a sufficient inventory unit when the customer requests a particular size and colour. One variant can remain unsold while another misses demand, even when total stock exceeds total demand for the style. This is not a forecasting detail to be repaired after purchase. It changes the feasible order, the immediate fill measure and the residual recovery plan. Segmentation by product and customer requirement supports treating these commercial promises distinctly rather than imposing one aggregate rule.[S01]

The allocation model begins with a total style commitment and divides it across variants. Let q_v be the quantity assigned to variant v, and let D_v be its uncertain demand. The allocation maximises expected contribution subject to the total quantity, order packs, minimum lots, cash and any capacity limits. If substitutions are genuinely permitted, a separate matrix must identify which variant can satisfy which request, at what additional cost and with whose approval. Without that evidence, a transfer from one size or colour to another is not feasible supply.

¶ 02

The objective cannot be evaluated from style-level demand alone. Two allocations with the same total can produce different expected sales, residuals and customer outcomes because their mismatch occurs in different cells. The model should retain variant demand scenarios and, where relevant, their dependence. A common fashion shock can move several colours together, while a size-curve error can affect every colour in the same size. Independent variant distributions would miss those joint outcomes.

¶ 03

Exhibit 29 constructs a four-size, three-colour example. The heatmap shows unmet demand after matching stock to requests in each cell. Full demand and stock matrices appear in the notes so the arithmetic can be inspected. No substitution is permitted between cells.[S01][S06]

¶ 04 · 2 sourcesExhibit 29

S01S06

The illustrative style has 180 units of stock against 178 units of demand, yet 16 requested units cannot be filled in their requested variant. Expected sales under this realised matching are 162 units and residual stock is 18 units. Variant unit fill is therefore 162 / 178 = 91.0 percent, despite aggregate stock exceeding aggregate demand by 2 units. These are teaching arithmetic values, not a service benchmark or a forecast.[S05]

¶ 05 · 1 source

The illustrative style has 180 units of stock against 178 units of demandillustrative

S05

The example also shows why an aggregate markdown can be a weak recovery instrument. The residual units sit in cells different from the unmet requests. Lowering the price of every variant sacrifices revenue on stock that could have sold without correcting the original mismatch, and it may still fail to move unwanted sizes or colours. A targeted commercial action needs the same cell-level record as the buying decision.

¶ 06

Complete size-curve availability should be defined rather than invoked. One possible GFT convention is the share of scheduled selling intervals in which every designated core variant has positive usable stock. That is an availability measure, not a fill rate: one remaining unit can make a cell available without satisfying subsequent demand. It should therefore sit beside variant unit fill and complete-order fulfilment, with its core range and review times stated in advance.[S05]

¶ 07 · 1 source

S05

Early demand evidence can improve a second allocation only if it is read at the same level. A supplier prepack may force a different size curve from the one suggested by requests, and a production minimum may prevent small corrections in a particular colour. These are real feasibility constraints, not reasons to revert to a style average. If the feasible pack cannot address the observed shortage, the policy should compare a targeted alternative, a permitted substitution or no second buy rather than ordering more of a convenient but mismatched pack.

¶ 08

7.52 min · 6 paragraphs · read with a related exhibit

Postponed manufacturing and postponed planning are different

Delaying a decision is not the same as delaying physical differentiation. Postponed manufacturing keeps material in a more generic form until a better demand signal arrives, then converts it into a specified product. Postponed planning delays the commercial or production decision itself. The first can preserve feasible options. The second can simply move commitment closer to the deadline, increase urgency or transfer stock risk to another party.

The Japanese apparel study makes this distinction empirically important. In its survey of Japanese apparel wholesalers, postponed manufacturing was associated with lower inventory, while postponed planning increased inventory when firms externalised the retail function. The authors also identify retail controllability and the accuracy of additional-production decisions as conditions to consider.[S17] These are conditional associations from that sample, not a causal forecast for a Cameroon factory or a promise that every postponement programme reduces stock.

¶ 02 · 1 source

S17

For an apparel maker, candidate manufacturing postponements include holding an approved common fabric, delaying a print or keeping a label generic until the order specification is confirmed. Each candidate requires a technical test. The base material must genuinely serve the later variants; conversion equipment and skills must be available; setup and changeover must fit the remaining window; and final inspection must still leave time for the promised delivery. Material planning and item-version controls provide the specification discipline, but they do not establish that a particular late-stage process is feasible.[S07]

¶ 03 · 1 source

S07

The economic comparison should follow the decoupling point. Generic stock may serve several later demands, but conversion adds cost and can fail. Finished stock avoids that later conversion risk while carrying more variant-specific residual exposure. Postponement is worthwhile only when the expected reduction in mismatch and terminal loss exceeds the additional conversion, reservation, coordination and service costs under common demand scenarios. No universal inventory reduction should be inserted into that comparison.

¶ 04

A delayed planning decision needs an equally explicit owner and information rule. If a retailer, distributor or customer controls the signal used for additional production, the factory must know whether that signal is a forecast, a reservation or a binding order. Otherwise planning postponement can produce repeated speculative commitments while each party believes another owns the residual. Contract definitions and call-off liabilities should be settled before the season, not during an urgent second buy.[S08][S17]

¶ 05 · 2 sources

S08S17

GFT would therefore approve postponement as a timed operating design rather than a general principle. The record would name the generic stock object, permissible later variants, latest conversion start, usable-completion deadline, responsible approval and fallback route. WP20 owns the broader process and product-design choices. This chapter retains the narrower inventory test: the option must remain technically convertible and commercially useful after the demand information arrives.[S07][S17]

¶ 06 · 2 sources

S07S17

7.62 min · 6 paragraphs · 1 exhibit

Markdowns and returns change the residual-stock calculation

Residual recovery is a process with time, cost and uncertain eligibility, not a single salvage rate. A markdown can accelerate sales but changes revenue and can alter demand for other variants. A customer return does not immediately become usable stock. It must be received, inspected, graded and, where necessary, repaired, cleaned or repacked before it can re-enter the selling process. European Environment Agency evidence describes complex return handling and potentially significant effects on resale timing and value.[S26] Its European return rates and destruction estimates must not be transferred to Cameroon.

The recovery calculation should follow each route separately. Expected net resale recovery is the expected selling proceeds less incremental discount support, handling, repair, repacking, channel and disposal costs, with the timing and probability of each outcome stated. An item that misses the remaining selling window may have a different route from an item returned early. A damaged return may have no resale route even though an undamaged return can be restocked. Combining these conditions into one average salvage price hides the decisions that create the value.

¶ 02

Returns also require a stock-state control. Until inspection establishes condition and ownership, the returned unit should not inflate promiseable stock. If it becomes eligible for resale, its release time belongs in the remaining-window calculation. If it is repaired, the repair capacity and additional cost belong in the same comparison. A return may reverse revenue commercially while still failing to restore a unit that can be sold again in the season.

¶ 03

Accounting and decision economics remain distinct. IAS 2 describes inventories as measured at the lower of cost and net realisable value, with net realisable value reflecting estimated ordinary selling price less completion and necessary selling costs.[S09] That measurement does not prove that a buyer exists or that the estimated proceeds will be realised. The seasonal order model needs expected incremental outcomes, while the financial record needs the applicable accounting assessment. Local professional review is required; this chapter is not accounting or legal advice.

¶ 04 · 1 source

IAS 2 describes inventories as measured at the lower of cost and net realisable valueS09

S09

An EU-facing scenario adds a scope test. The European Commission states that, from 19 July 2026, large companies across the EU are prohibited from destroying unsold clothes, clothing accessories and footwear, subject to specified circumstances and exemptions.[S21] This is not a blanket obligation on a Cameroon manufacturer. The entity, company size, market, product and contractual role must be established by legal review, with WP17 providing the detailed interpretation.

¶ 05 · 1 source

from 19 July 2026S21

S21

The Commission's explanation prioritises selling through discounts or alternative markets, donation, and preparation for reuse through repair, refurbishment or remanufacturing, while restricting destruction to specified cases.[S21] Exhibit 30 converts that principle into an illustrative factory decision flow. The flow is a proposed control design, not a claim that every route is locally available or legally sufficient.

¶ 06 · 1 sourceExhibit 30

S21

Exhibit 30FlowillustrativeResidual goods require an approved recovery route
Identify lotand ownerInspectcondition andtimeResell incurrent windowDiscount oralternatemarketRepair orprepare forreuseDonate whereacceptedReview lawfulfinal routeRecordproceeds andoutcome

Read-outIdentify lot and owner. Starting point. Leads to Inspect condition and time.

Method and source

Illustrative GFT control flow informed by IAS 2 measurement concepts, European returns evidence and the Commission's EU-facing recovery hierarchy. Actual route availability, net realisable value, ownership, donation acceptance, waste requirements and legal scope need local confirmation. No recovery rate or realised value is asserted.

Unit: proposed decision sequence. Status: illustrative. Sources: S09, S21, S26. Illustrative figures are teaching examples, not measured factory results.

7.72 min · 6 paragraphs · read with a related exhibit

A seasonal stop rule protects cash from wishful demand

The stop rule should be written before the initial order, while the cost of another unit can still be assessed dispassionately. It should name the last order date, last useful receipt, demand-evidence refresh, residual exposure limit and role authorised to approve an exception. Without those commitments, every new sales narrative can justify another buy after the feasible selling window has narrowed. The single-period model supplies the marginal economics, while inventory measurement and recovery records supply the terminal exposure.[S06][S09]

At each review, the planner should project terminal stock under declared demand and usable-receipt scenarios. The exposure includes current usable stock, firm inbound supply and any proposed order, less sales expected before the window closes. Variant-level residuals must remain visible. The review then compares expected net recovery, handling cost and cash committed with the approved limit. A statistically attractive reorder that breaches the limit requires an explicit business decision rather than an automatic exception.

¶ 02

The action ladder begins with preventing additional mismatch. Stop or reduce uncommitted orders where the marginal case fails, convert only where specifications and capacity permit, and do not count an unreliable cancellation right as certain relief. Commercial actions can then target price, channel, repair, resale, donation or reuse according to actual eligibility. Final disposal requires documented ownership and lawful route review. The appropriate sequence depends on time and net recovery, not on a universal preference for markdowns.[S21][S26]

¶ 03 · 2 sources

S21S26

A stop rule must also avoid the opposite error. Ending all replenishment on a fixed calendar date can sacrifice profitable demand when a fast, qualified option still clears its economic and cash tests. The rule should therefore stop unsupported exposure, not every later order. A second buy may proceed when fresh requested-demand evidence, usable-receipt timing, variant fit and residual exposure all remain within the approved conditions. Governance should make both continuation and cessation explainable.

¶ 04
Note

The final evaluation should compare the original assumptions with realised outcomes without rewriting history. Which demand scenarios were available at approval, which receipts were expected to be usable, and which recovery values were authorised? Actual contribution, terminal stock, cash recovery and service should be reported against that record. A high sell-through achieved by early stockouts is not unqualified success, and a low residual achieved through indiscriminate discounting may conceal lost margin. The policy earns renewal when its complete seasonal result is understood.

¶ 05

Check the record

The chapter keeps its sources within reach.

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.

12 sources · 53 citation marks on this pageMost cited: S06, 11 times

Grade AGrade BGrade CKnot size: citations on this page

All 12 records shown

c07-S01 · Grade A

MIT OpenCourseWare

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 ↗
Chapter source notes

S06 MIT OpenCourseWare. 2006.

S24 arXiv, Michna, Nielsen and Nielsen. 2015-03-20.

S09 IFRS Foundation. n.d..

S22 arXiv, Chen, Jiang, Zhang and Zhou. 2023-10-31.

S05 MIT OpenCourseWare. 2006.

S08 MIT OpenCourseWare. 2006.

S04 MIT OpenCourseWare. 2006.

S01 MIT OpenCourseWare. 2006.

S07 MIT OpenCourseWare. 2006.

S17 Japan Marketing Academy, Quarterly Journal of Marketing. 2020-03-31.

S26 European Environment Agency. 2024.

S21 European Commission, Directorate-General for Environment. 2026-07-17.

Keep the thread · chapter 07 of 14

Chapter 08 picks up the thread.

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

08Part III: Resolve constraints across the supply chain

A material plan is feasible only when every component and process can meet the date

Inventory optimisation must respect dependent material requirements, quality release and finite conversion capacity.

  • 8.1The bill of materials converts orders into dependent demand
  • 8.2Net requirements must recognise what can actually be consumed
  • 8.3Back-scheduling reveals late material before the line is loaded
  • 8.4Minimum lots and capacity can make an MRP plan infeasible
Reading time
26 min
Exhibits
5
Sections
7
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