Skip to content
GREEN FUTURETECH.
Explore

Research libraryUtilisation Decides

Chapter 01 of 14 · Part I · Draft web edition

Utilisation decides whether installed capacity becomes good garments

A garment factory creates value when the whole line converts available time and skill into accepted output. Installed machines and busy stations are evidence of resources, not proof of delivery.

Sections
6
Exhibits
5
Minutes
23
Sources
10
EX 01 · CICAM 1: 48.9 percent of reported capacity

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.

The chapter as a draft: 6 sections, 4 exhibit wefts, one shuttle.

Lead exhibit · 01Ranked barssourcedHistorical utilisation reports distinguish installed assets from output
Garoua33.7CICAM 148.9CICAM 210.8

Read-outGaroua: 33.7 percent of reported capacity

Method and source

Inherited register: July 2023 account, Garoua 33.7, CICAM 1 48.9, CICAM 2 10.83. Original denominators and full article URL are not recorded. Historical observations, not current GFT measures.

Unit: percent of reported capacity. Status: sourced. Sources: R12.

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

Section 1.0 · Opening · 1 min · no exhibit of its own · one movement Go to section ↓

Overture · 1 min

Utilisation belongs at the centre of the business case because the factory must convert its resources into garments that meet requirements and can fulfil orders. GFT's position is to manage that conversion through connected measures of productive time, labour content and flow. A sponsor should fund an increase in usable system output, subject to quality, working conditions and demand, rather than an increase in machine activity alone. The operating argument in this chapter establishes that decision boundary. It does not offer a universal efficiency target or a forecast for a particular factory.

¶ 01

1.12 min · 7 paragraphs · 2 exhibits

Nameplate capacity is not saleable output

The inherited evidence register records a July 2023 report of capacity utilisation at CICAM facilities: Garoua at 33.7 percent, CICAM 1 at 48.9 percent and CICAM 2 at 10.83 percent. These are historical third-party observations, not measurements made by GFT. The register retains the reported values but does not reproduce the underlying capacity definitions or complete source URL. They establish a reason to investigate the conversion of installed assets into output; they cannot establish present operating performance or diagnose a particular loss.[R12]

The comparison in Exhibit 1 therefore preserves the reported labels and percentages. It deliberately avoids ranking management teams or valuing the unused capacity. Before using these observations in an investment model, the analyst would need to establish which products, processes, available hours and capacity standards the original report covered. The inherited record's limitations remain part of the evidence, even when the chart is precise.[R12]

¶ 02 · 1 sourceExhibit 01

R12

For an appraisal, GFT recommends separating the supplier's design rate from the rate demonstrated with the intended garment, operators and supporting services. Record what the supplier assumes about fabric, attachments, machine condition and operator competence. Record whether the rate describes a sewing operation or an entire line. The acceptance test should finish at an identified quality boundary. A test that counts stitched components cannot directly prove the capacity to dispatch finished garments.

¶ 03

The sponsor should then ask what prevents the demonstrated rate from being repeated over the planning period. GFT proposes a capacity bridge that starts with the scheduled production window, identifies time lost, records the rate achieved while running and finally removes output that fails the chosen acceptance test. Keep the commercial question alongside this bridge: is there an authorised order for the resulting product? Technical production and commercial absorption require separate evidence. A finished item awaiting a buyer is not an additional confirmed sale.

¶ 04

Consider the illustrative loss bridge in Exhibit 2. The assumed reference volume is 1,000 units within a defined planned period. Assumed availability of 90 percent leaves 900 unit equivalents, assumed performance of 80 percent leaves 720 and assumed quality of 95 percent leaves 684. The losses reconcile as 100, 180 and 36 unit equivalents respectively. The multiplicative structure follows the OEE framework; all operating inputs here are assumptions, not Cameroon observations or GFT results.[S04]

¶ 05 · 1 sourceExhibit 02

S04

Exhibit 02ReconciliationillustrativeSequential losses leave fewer good-unit equivalents than the plan
02505007501,0001,000Reference-100Time loss-180Rate loss-36Quality loss684Good output

Read-outReference: total 1,000. Running total 1,000 illustrative unit equivalents per planned period

Method and source

Illustrative assumptions: reference volume 1000, availability 0.90, performance 0.80, quality 0.95. Arithmetic: 1000 minus 100 minus 180 minus 36 equals 684; equivalently 1000 x 0.90 x 0.80 x 0.95. Source supports the OEE structure, not these assumed inputs. Loss allocation follows this stated sequence.

Unit: illustrative unit equivalents per planned period. Status: illustrative. Sources: S04. Illustrative figures are teaching examples, not measured factory results.

The illustrative bridge is an accounting device for a defined process, not a simulation of dependent sewing stations. It should not be multiplied by a separately estimated line-utilisation factor covering the same losses. That would count the same missing output again. Nor should the numerical loss assigned to quality be interpreted as the total cost of poor quality. Inspection, repair and delayed delivery require their own cost boundaries. GFT recommends naming each loss once before attaching money to it.

¶ 01

This distinction changes the first investment discussion. Ask whether the proposed asset removes the restriction on accepted line output, whether upstream supply can sustain that output and whether downstream inspection and packing can absorb it. Request a measured baseline and an acceptance condition for the change. Without those items, a supplier's capacity statement remains a technical input to appraisal rather than an established basis for revenue. Detailed costing belongs later in the paper; the opening discipline is to choose the output that deserves to be costed.

¶ 02

1.24 min · 9 paragraphs · read with a related exhibit

Local processing raises the premium on operating discipline

Related · chapter 099 paragraphs step it

Related exhibit 41 · chapter 09FlowillustrativeThe same output rate can carry different residence times
Assume stable flowMean WIP 20 or 10Divide by 5/hourMean time 4 or 2 hours

Read-outAssume stable flow. Starting point. Leads to Mean WIP 20 or 10.

Method and source

Illustrative stable boundary with no scrap, rework or bypass. Assume accepted throughput is 5 garments/hour. Little's Law gives mean time = mean WIP / throughput: 20/5 = 4 hours; 10/5 = 2 hours. Assumed values demonstrate the identity and do not establish feasible inventory limits.

Unit: illustrative garment equivalents and elapsed hours. Status: illustrative. Sources: S22. Illustrative figures are teaching examples, not measured factory results.

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

The inherited sector record states that about 95 percent of Cameroon's cotton fibre is exported raw and about 5 percent is processed locally. A separate entry records a national objective of 50 percent local processing by 2030. The original publication dates are not recorded in these entries. The baseline is approximate, and the policy figure is a target, not evidence that new processing has been delivered. This chapter uses them to explain the operating question, not to certify a current market balance.[R06][R07]

GFT's inference from that stated ambition is conditional: an increase in processing should be assessed through functioning production stages, rather than through asset announcements alone. A garment operation needs a defined input specification and an output customer. If an appraisal includes spinning, weaving, finishing and sewing, it should retain the boundaries between them. Fibre throughput and garment count are different units. A local-processing target cannot be translated directly into a sewing-line sales forecast without product yields, routing and demand assumptions.

The practical recommendation is to write a conversion map before choosing a utilisation target. For each proposed stage, identify the material received, the form delivered, the acceptance test and the party authorised to accept it. Identify where the flow leaves the project boundary and where another business must act. This is especially useful for an integrated proposal: internal transfer of intermediate stock should not be mistaken for final customer delivery. The appraisal should show which operating risks sit inside the proposed project and which remain with suppliers or buyers.

Use that map to identify the smallest unit of evidence that would support the next decision. A fabric qualification sample may support a material choice; it cannot prove a stable production rate. A successful line trial may support a capacity estimate for the tested style; it cannot prove that all proposed styles share the same work content. GFT recommends an evidence ladder that keeps these claims separate. The aim is to make a large industrial ambition inspectable through smaller operating propositions.

An illustrative domestic-processing proposal might have enough installed sewing capacity to meet its planned garment volume but lack a confirmed supply of qualified fabric. In that assumed situation, adding sewing stations would not resolve the stated input constraint. The immediate appraisal questions would concern material qualification, supply timing and contingency routes. A different illustrative proposal might have reliable material and orders but fail at final inspection. Its immediate question would concern the mechanism creating defects. Neither situation justifies a general conclusion that the sector needs fewer or more machines.

GFT recommends treating the feasibility model as a set of operating promises. Each promise should have an owner, a test and a consequence if the test fails. For productive volume, identify who will demonstrate the rate and who will validate accepted output. For staffing, identify the skill mix needed at the tested rate. For services, identify the operating envelope under which the test is valid. A model becomes more useful when an unproven promise remains visible than when uncertainty disappears into a single average utilisation assumption.

For a proposed shared facility, GFT recommends making service allocation explicit as well. Identify which line can use the finishing equipment, who authorises a change in the schedule and what happens when requests conflict. A capacity assumption should not silently allocate the same scarce service to every line at once. The appraisal should retain a schedule that demonstrates compatibility, or flag the service assumption as untested. This gives the operating team a concrete question to resolve before a combined site total is treated as deliverable output. The same discipline applies to shared inspection staff, material handling and specialist maintenance support.

The choice also has a sustainability boundary. GFT proposes tracking inputs against accepted garments while retaining absolute consumption and rejected material. A lower input intensity could result from spreading a fixed consumption over more good output; it should not automatically be described as a technical efficiency gain. Equally, a higher output total should not be presented as an environmental benefit without examining the associated material and energy totals. This chapter sets that analytical caution; the energy and unit-cost methods are developed later in the paper.

The market and policy assessment remains outside this operating chapter. Its contribution is narrower: when a processing opportunity is proposed, demand proof that each production stage can repeatedly meet its specification and that the connected system can deliver the required product. This prevents a national aspiration from silently becoming a factory's production assumption. It also makes the case easier to revise. If demand, product mix or supply conditions change, the analyst can update the affected boundary rather than rebuild an unexplained headline ratio.

1.33 min · 9 paragraphs · 1 exhibit

Three measurement lenses answer different questions

Step 1 of 4Check time losses

Exhibit 03 · illustrativeTime, labour and flow checks precede the operating decision

Check time lossesCheck earned minutesCheck WIP and timeDecide and verify
Check time lossesCheck earned minutesCheck WIP and timeDecide and verify

Check time losses

Check time losses. Starting point. Leads to Check earned minutes. · illustrative

OEE distinguishes availability , performance and quality.

Check earned minutes

Check earned minutes. From Check time losses. Leads to Check WIP and time. · illustrative

Check WIP and time

Check WIP and time. From Check earned minutes. Leads to Decide and verify. · illustrative

Decide and verify

Decide and verify. From Check WIP and time. End point. · illustrative

The method behind it: Worked example: the same output supports different denominators.

Method and source · Exhibit 03

GFT proposed review sequence: check time losses, labour content and flow, then choose an action. OEE, earned minutes and stable-system WIP relationships remain distinct measures. Arrows indicate review order, not material flow or a combined score. This is not an implemented platform.

Unit: illustrative measurement design. Status: illustrative. Sources: S04, S13, S22. Illustrative figures are teaching examples, not measured factory results.

1.3 · the bodyExhibit 03 above; its figures are illustrative where marked.

OEE distinguishes availability, performance and quality. The opened review associates these respectively with downtime, speed losses and defect or yield losses. Their product expresses the fraction of a declared reference output retained at the chosen boundary. That structure helps locate a missing output, but it does not define every garment factory's measurement protocol. GFT recommends declaring the planned time, ideal rate and treatment of rework before comparing scores.[S04]

A labour lens asks a different question. The IFC and ILO GEAR assessment explains garment standard minute value as the sum of operation-level standard minutes and calculates efficiency from output minutes relative to available labour minutes. For this paper, GFT proposes counting only accepted output in earned standard minutes and dividing by attended labour minutes. That explicit convention must travel with the result; it should not be assumed to match every external study's completed-piece definition.[S13]

¶ 02 · 1 source

S13

The flow lens asks how long work remains in the system. MIT's lean glossary connects average work in progress, average throughput rate and average throughput time through Little's Law, while warning that its strict application concerns long-term averages in stable systems. For an illustrative steady operation with average WIP of 600 garments and throughput of 100 garments per hour, the corresponding average throughput time is 6 hours. The assumed population includes all work crossing the same entry and exit boundaries.[S22]

¶ 03 · 1 source

the corresponding average throughput time is 6 hoursillustrative

S22

The measurement architecture in Exhibit 3 is GFT's illustrative design. It orders checks on time, labour and flow before a common decision record, rather than collapsing them into a composite score. The evidence sources support the underlying concepts. The proposed connection between those concepts and the management review is an engineering recommendation, not a claim about an installed GFT platform.[S04][S13][S22]

¶ 04 · 3 sourcesExhibit 03

S04S13S22

Note · 1 sourceReplay in the film

S13

GFT recommends retaining the raw observations needed to reconstruct each result. A percentage without its denominator should be treated as incomplete. A labour record needs attendance and applicable work content. An OEE record needs scheduled and running time plus the selected reference rate and quality count. A flow record needs a population definition, entry and exit events and a treatment of opening and closing stock. The record should preserve corrections so that the supervisor can explain why a result changed.

¶ 05

Reworked garments require a particularly clear counting rule. GFT proposes retaining the original completion event, the reason for repair and the eventual acceptance event under the same garment or batch identity. Do not add a repaired garment to the physical output total each time it crosses a workstation. Likewise, distinguish a garment awaiting inspection from one already rejected. This is a proposed record structure, not a statement that every operation needs individual-piece tracking. Where only batch records are feasible, state the resolution and reconcile quantities before using them to describe a quality-adjusted production rate.

¶ 06

The lenses can disagree without either calculation being wrong. In an illustrative style change, piece output might fall while earned standard minutes remain unchanged because the new garment contains more work. In another illustrative situation, a machine might meet its running-rate standard while finished output remains limited elsewhere. GFT recommends using such disagreement as a prompt to inspect boundaries and causes. Avoid changing the measurement definition merely to restore a preferred story. A score should make the decision more accountable, not make operational differences disappear.

¶ 07

The following chapters develop these definitions and their controls in detail. Here the decision rule is sufficient: select the measure that answers the question, preserve the observations behind it and examine the effect at the whole-line output boundary. When the purpose is accepted delivery, no isolated machine, labour or flow measure should become the sole acceptance test. The sponsor needs an explanation of how a proposed improvement changes the connected production result and how that change will be verified.

¶ 08
Key figures from chapter 03 · Exhibit 12Key figuressourcedOutages belong in the capacity model
  • -9.0%TFP penalty in outage-exposed firmsAverage revenue-based TFP gap across 84 countries, 2006 to 2019 (S36)
  • 93.3%Cameroon firms experiencing outagesSurveyed Cameroon firms reporting outages in 2024 (S0301)
  • 2.0%Sales lost by affected Cameroon firmsReported sales value lost to outages in Cameroon in 2024 (S0302)

Read-outTFP penalty in outage-exposed firms: -9.0%. Average revenue-based TFP gap across 84 countries, 2006 to 2019 (S36)

Method and source

Sourced from World Bank research and Enterprise Survey indicators: unconditional average revenue-based total factor productivity (TFP) gap for outage-exposed manufacturers across 84 developing countries, 2006 to 2019 (S36); share of surveyed Cameroon firms experiencing electrical outages in 2024 (S0301); and average value lost due to electrical outages as a share of sales for affected Cameroon firms in 2024 (S0302). Cross-country and sector-aggregate figures are context, not a single-factory garment forecast.

Unit: percent. Status: sourced. Sources: S36, S0301, S0302.

Read this exhibit in its chapter ↗

1.43 min · 9 paragraphs · read with a related exhibit

The whole line outranks the busiest station

Related · chapter 089 paragraphs step it

Related exhibit 35 · chapter 08Control mapillustrativeA moving constraint appears in station time and queue evidence
Mon AMMon PMTue AMWed AMThu AMPlacket set22533Shoulder join25322Collar attach54343Sleeve set33233Side seam32253Bottom hem22222

Read-outPlacket set: Mon AM 2, Mon PM 2, Tue AM 5, Wed AM 3, Thu AM 3 (illustrative score (1 to 5))

Method and source

Illustrative shift-by-station diagnostic matrix combining workstation utilisation and upstream work-in-progress queue accumulation, following the dual bottleneck definitions in S20 and skill-variation effects in S17 and S18. Scores from 1 (ample protective capacity) to 5 (active system constraint) are illustrative operational examples, not observed GFT factory telemetry.

Unit: illustrative score (1 to 5). Status: illustrative. Sources: S20, S17, S18. Illustrative figures are teaching examples, not measured factory results.

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

The Lean Enterprise Institute's account of the Theory of Constraints starts with the restriction on system throughput and then adjusts the other parts of the system to support it. Its discussion also recognises non-manufacturing constraints, including market demand. The useful implication for this paper is that a local speed gain needs a system explanation: it creates additional accepted delivery only if it addresses the effective restriction or supports the resource that does.[S30]

An illustrative line makes this distinction concrete. Suppose compatible successive operations can sustain 120, 80 and 110 units per hour respectively, with no losses or alternative routes. The middle operation bounds sustained output at 80 units per hour under these assumptions. Raising the first operation to 140 units per hour does not change that bound. If it is fed and run continuously at the higher rate, the queue ahead of the middle operation grows by 60 units per hour. These are constructed rates for explaining the mechanism, not measurements of a sewing line.

The management response in that illustrative situation should depend on the cause of the middle operation's restriction. GFT recommends checking method, machine suitability, qualified staffing, material presentation and acceptance requirements before choosing a remedy. An extra operator would be a poor proposal if the limiting task could not safely be divided or its machine could not be duplicated. A faster attachment would need a trial showing that it preserves the specification. An operational diagnosis should precede the expenditure request.

This does not make idle time automatically desirable. GFT proposes classifying it by purpose and consequence. Waiting caused by missing material calls for investigation. Deliberate reserve capacity that helps recover a disrupted flow needs a different explanation. A station that completes the authorised requirement and then stops should not be rewarded for creating unwanted stock. Equally, reserve capacity should not become a convenient label for chronic missing orders or avoidable downtime. The governing question is what the resource contributes to the agreed delivery obligation.

MIT's capacity lecture warns that waiting time and capacity utilisation have a strongly nonlinear relationship in variable systems. This supports caution about scheduling every resource at its apparent maximum. It does not supply a transferable headroom percentage for a Cameroon sewing line. GFT recommends testing the actual variation in arrivals, operation times and interruptions before setting buffers or promised lead times.[S23]

For an illustrative review, compare matched production windows before and after an upstream speed change. Record accepted output, queue size at the suspected constraint, unfinished stock at the shift boundary and any quality holds. If the upstream counter rises but finished output does not, require an explanation before calling the trial successful. If finished output rises only because old WIP is consumed, extend the observation or explicitly account for that drawdown. A transient release of inventory should not be mistaken for a sustainable increase in production capability.

GFT also recommends keeping the worker's explanation within the evidence record. Ask what prevents the intended task from proceeding and whether the proposed method can be sustained within agreed working conditions. Do not infer a lack of effort from a queue or an idle machine. The purpose of observation is to distinguish an actionable restriction from an appearance. If the loss record cannot distinguish material waiting from machine repair, it cannot fairly assign responsibility or establish which intervention deserves a trial.

GFT recommends stating who may change release quantities during a trial. Otherwise, an apparent improvement in local utilisation could simply reflect a larger supply of unfinished work. Keep the authorised release, actual release and accepted completion in the same review record. If the team deliberately builds a protective buffer, state the operating purpose and the condition for drawing it down. Review its contents for material identity and quality status as well as quantity. A stockpile whose contents cannot be used by the constraint does not demonstrate protection of that constraint, whatever its physical size.

The same logic governs the boundary beyond sewing. A trial should state whether trimming, inspection, pressing and packing are included. A sponsor interested in dispatch should examine accepted dispatch-ready output as well as sewing completion. Where the proposed change ends upstream of that boundary, the trial report should say what remains untested. This is the operating meaning of placing the whole line above local busyness: success must survive the next required handover, rather than end at the counter most favourable to the proposal.

1.52 min · 7 paragraphs · 2 exhibits

Case gains establish mechanisms, not universal targets

The opened Engineering Reports article, published on 26 July 2025, reports Company X's OEE increasing from 42.91 percent to 52.27 percent with process monitoring devices and digital line balancing. It also reports Company Y moving from 59.47 percent to 67.30 percent. The arithmetic changes are 9.36 and 7.83 percentage points respectively. These are the article's case findings, not GFT results, and they do not establish the effect of either intervention in isolation.[S09]

The paired comparison in Exhibit 4 uses the same named measure on both rows. It shows the reported starting points and endpoints without applying them to another factory. The article demonstrates a relevant combination of monitoring and balancing. GFT's inference is that the combination deserves a locally designed test, not that a future line should inherit either endpoint as its financial-model assumption.[S09]

¶ 02 · 1 sourceExhibit 04

S09

Exhibit 04Before and aftersourcedReported OEE gains begin from different case baselines
40506070Company XCompany Y

Read-outCompany X: Reported before 42.9, Reported after 52.3. Difference +9.4 (OEE percent)

Method and source

Engineering Reports, 26 July 2025: reported Company X 42.91 to 52.27 and Company Y 59.47 to 67.30. Combined monitoring and digital balancing case results. Neither endpoint is a GFT target or an independently isolated technology effect.

Unit: OEE percent. Status: sourced. Sources: S09.

The ILO's article dated 1 June 2022 reports that Edget Garment improved line-balance efficiency from 24 percent to 75 percent and daily line production from 50 to 120 pieces following balancing work. The arithmetic changes are 51 percentage points and 70 pieces per day. This is a different measure and setting from the OEE cases. Neither the ratios nor the absolute levels should be combined into a common productivity benchmark.[S37]

¶ 01 · 1 source

S37

The table in Exhibit 5 therefore keeps the efficiency and output rows distinct, including their units. The ILO describes examination of cycle time, takt time and operator requirements before a new balance was implemented. That sequence provides a practical reason to test measured work allocation. It does not establish what a greenfield line in Cameroon will deliver, how much it should cost or how long its improvement will take.[S37]

¶ 02 · 1 sourceExhibit 05

S37

Exhibit 05RegistersourcedThe Edget case reports different efficiency and output measures
Measure
Line-balance efficiency (%)
Before
24
After
75

Read-outMeasure: Line-balance efficiency (%). Before: 24. After: 75

Open the full register (2 rows)
Line-balance efficiency (%)2475
Daily line output (pieces)50120
Method and source

ILO article, 1 June 2022, reporting Edget Garment in Ethiopia. Line-balance efficiency is not OEE. Daily output is a piece count, not a labour-normalised productivity ratio. The table reproduces case observations without extrapolation.

Unit: row-specific units. Status: sourced. Sources: S37.

For GFT, the appraisal task is to convert a published mechanism into a testable local proposition. Specify the suspected loss, the operational change and the output expected to respond. If the proposal combines new data capture, supervisor practice and task reassignment, record that package explicitly. Do not subsequently attribute all improvement to the software alone. A useful comparison preserves the production context closely enough for the result to inform the next decision, while disclosing changes that prevent a clean interpretation.

¶ 01

GFT recommends a trial record that includes style and method, skill coverage, attendance, input readiness, quality status, available services and the definition of accepted output. Agree what would count as a material adverse result before beginning. This includes deterioration in working conditions, an increase in unresolved defects or a shift of unfinished work into a later period. The record should retain a trial that fails. Its value is the avoided repetition of a poor intervention, not a presentationally attractive success rate.

¶ 02

The result should support a bounded decision. An effective trial can justify retaining a method under the tested conditions and planning a further test where conditions differ. It should not automatically justify expanding every line, replacing the factory's system or rewriting the entire production forecast. GFT recommends attaching the decision scope directly to the evidence: what the test established, what it did not test and what new condition would require a fresh check. This preserves useful case evidence without turning it into a promise.

¶ 03

1.63 min · 8 paragraphs · read with a related exhibit

GFT's position is to measure first and automate the decision second

GFT proposes carrying the performance-management remit of its Cameroon textile programme into a practical operating record: output, defects and downtime captured from the first production shift, with hourly review where it supports intervention. This is a recommendation for implementation, not a claim that a factory has already adopted the system or achieved a result. The record should connect an observed deviation to a named operating role, a chosen action and a later check at the accepted-output boundary.

Start with definitions that a supervisor and operator can use together. State what counts as completion, when a hold is released, which minutes belong to production and how overlapping stops are handled. Record unresolved causes as unresolved rather than force-fitting them into a convenient category. GFT recommends checking a sample of recorded events against the physical line before interpreting a trend. A missing event is a measurement problem; it should not silently become evidence that the corresponding loss did not occur.

¶ 02
Note

For the review itself, GFT recommends beginning with the gap between authorised output and accepted output. Ask which restriction explains it and whether the available observations support that explanation. Choose a corrective action proportionate to the evidence. Record who will act and how the next review will establish whether the restriction changed. Avoid declaring closure because a maintenance ticket was signed or a dashboard turned green. Closure belongs to the agreed operating consequence, which may require more observation.

¶ 03

An illustrative decision record could concern recurring material waiting ahead of the constraint. The proposed action might be a defined pre-shift readiness check and a controlled buffer of qualified components. The acceptance condition would concern sustained accepted output and absence of uncontrolled WIP growth, rather than faster material issue alone. If the same record instead shows a quality hold, the response should follow the defect mechanism. The data system earns its place by supporting the distinction and preserving the outcome of the action taken.

¶ 04

Automation should follow a written event contract. GFT proposes stating which physical event a sensor or operator entry represents, when it receives a timestamp and how an error can be corrected. A machine pulse should not become a good-garment count without a demonstrated connection to the relevant operation and acceptance event. Preserve manual reconciliation during the trial. If a network interruption occurs, distinguish missing telemetry from stopped production. The detailed governance and reference architecture sit elsewhere in the paper library; the operating requirement is interpretable evidence.

¶ 05

The paper record should remain usable when a shift changes. GFT proposes a short handover that separates unresolved production restrictions from unresolved measurement questions. A production restriction needs an operational owner; a measurement question needs a check before it becomes part of a performance conclusion. Carry forward the evidence and the next action, rather than only the latest percentage. When the team corrects an earlier count, preserve the correction and its reason. That makes the next shift's review a continuation of the same investigation and allows the sponsor to reconstruct how a claimed operating improvement was established.

¶ 06

Before accepting a claimed improvement, the sponsor should request a concise reconciliation: planned output, accepted output, key losses, unfinished stock movement and any deterioration in quality or working conditions. Compare like production boundaries and disclose changed assumptions. This chapter's illustrative arithmetic is a method demonstration and is not investment, legal or tax advice. A project decision needs current, project-specific operating and commercial evidence. The remaining chapters develop the loss tree, work measurement, balancing, flow and investment controls needed to supply it.

¶ 07

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.

10 sources · 28 citation marks on this pageMost cited: S04, 4 times

Grade AGrade BGrade CKnot size: citations on this page

All 10 records shown

R06 · Grade C · inherited record

Cameroon Trade Hub

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.

Chapter source notes

R12 Business in Cameroon. Publication date unrecorded; inherited source-text check.

S04 MDPI, Applied Sciences. 2020-09-17.

R06 Cameroon Trade Hub. Publication date unrecorded; inherited source-text check.

R07 Ecofin Agency. Publication date unrecorded; inherited source-text check.

S13 International Finance Corporation and International Labour Organization, Better Work. 2025.

S22 Massachusetts Institute of Technology, MIT OpenCourseWare. 2012.

S30 Lean Enterprise Institute. 2006-09-08.

S23 Massachusetts Institute of Technology, MIT OpenCourseWare. 2004.

S09 Wiley, Engineering Reports. 2025-07-26.

S37 International Labour Organization, SCORE and SIRAYE. 2022-06-01.

Keep the thread · chapter 01 of 14

Chapter 02 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

02Part I: Measure the factory that actually exists

OEE is useful only when it remains a loss tree

A single OEE score can start a conversation, but only its components and loss codes can tell a supervisor what to fix.

  • 2.1The formula multiplies three different kinds of loss
  • 2.2Availability losses extend beyond breakdowns
  • 2.3Performance losses include slow work and micro-stops
  • 2.4Quality losses belong inside effective output
Reading time
23 min
Exhibits
5
Sections
6
Continue to chapter 02
Continue the threadChapter 02 · OEE is useful only when it remains a loss tree

Find a thread.

Type to search.