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Research libraryUtilisation Decides

Chapter 12 of 14 · Part IV · Draft web edition

People and power set the attainable utilisation ceiling

A technically balanced line still fails when learned operators are absent, hours are unsustainable or electricity interrupts production.

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7
Exhibits
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Minutes
27
Sources
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EX 56 · Twelve-month horizon: Initial cohort at hire 100, Retained cohort share 50. Difference -50 (percent of cohort)

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: 7 sections, 4 exhibit wefts, one shuttle.

Lead exhibit · 56Before and aftersourcedTurnover can reset capacity during the first year
406080100Six-month horizonTwelve-month horizon

Read-outSix-month horizon: Initial cohort at hire 100, Retained cohort share 66.7. Difference -33.3 (percent of cohort)

Method and source

Sourced from UNU-WIDER panel study of Ethiopian manufacturing workers, mainly in textiles and garments (S39). Almost one-third left before six months (plotted as 33.3% departed vs 66.7% retained from a 100% starting cohort) and half left within one year (50.0% departed). This is empirical sector evidence from Ethiopia, not a Cameroon forecast.

Unit: percent of cohort. Status: sourced. Sources: S39.

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

Section 12.0 · Opening · 1 min · no exhibit of its own · one movement Go to section ↓

Overture · 1 min

A garment factory cannot sustain a line balance that violates its human and infrastructure envelope.[S14] Even when engineers establish clean standard minute values, sequence tasks accurately, limit work in progress and contain defects at source, the real ceiling on Overall Equipment Effectiveness (OEE) and good throughput is set by the people who staff the workstations and the electrical system that powers the machines.[S04] In labour-intensive sewing operations, overall performance depends primarily on employee performance and attendance rather than autonomous machine speed.[S14] Equally, sewing machines, cutting tables, fusing presses and air compressors cannot convert operator skill into good garments when grid electricity fails.[S35] Treating workforce stability and power reliability as background assumptions produces capacity plans that look achievable in a spreadsheet and fail on the floor.[S36]

¶ 01 · 4 sources

S14S04S35S36

In Cameroon, where national policy targets raising local cotton processing from roughly 5 per cent of raw fibre output to 50 per cent by 2030, reported capacity utilisation across incumbent textile plants ranged from 10.83 per cent to 48.9 per cent in July 2023.[R06][R07][R12] Closing that utilisation gap requires bringing statutory working hours, overtime fatigue, frontline supervision, operator turnover, workstation ergonomics, electrical outages and buyer order planning inside the formal capacity model.[S33][S36][S39] This chapter defines how human and electrical constraints govern the line and shows how GFT's Cameroon textile programme derates nominal capacity into a deliverable schedule.[S04]

¶ 02 · 7 sources

…local cotton processing from roughly 5 per cent of raw fibre output to 50…R06, R07, R12

R06R07R12S33S36S39S04

12.12 min · 1 sub-steps · read with a related exhibit

Lawful hours bound the capacity plan

Related · chapter 135 paragraphs step it

Related exhibit 62 · chapter 13Ranked barssourcedNominal monthly wage benchmarks do not measure unit labour cost
Cameroon SMIG (Feb 2024)76Cambodia garment min. (2024)204Cameroon cross-sector avg.359

Read-outCameroon SMIG (Feb 2024): 76 US$ per month (approximate)

Method and source

Sourced from the shared register: Cameroon SMIG raised to XAF 43,969 per month from 23 February 2024 (about US$76, R14); Cambodia garment minimum wage US$204 per month for 2024 (R17); Cameroon cross-sector average salary about US$359 per month (R15). Currency conversions are approximate estimates (R32). Monthly wages do not adjust for earned standard minutes, skill or quality.

Unit: US$ per month (approximate). Status: sourced. Sources: R14, R15, R17, R32.

Read this exhibit in its chapter ↗
12.1 · Introduction · paragraph 1 of 5

Every valid calculation of available production time begins with the legal and physiological limits of the working week.[S33] In OEE accounting and standard-minute planning, the denominator starts with scheduled shift hours before subtracting planned breaks, maintenance and unplanned downtime.[S01][S04] If a schedule assumes an unlawful or unsustainable time base, every downstream indicator of availability, efficiency and unit cost is distorted.[S01] Capacity planning must anchor its baseline roster in statutory ordinary hours and treat any extension as a constrained, separately costed exception.[S33]

In Cameroon, Law No. 92/007 of 14 August 1992 establishing the Labour Code states that statutory hours of work in all public and private non-agricultural establishments may not exceed 40 hours per week.[S33] Shared labour-market records for Cameroon likewise note the standard 40-hour working week alongside a 48-hour maximum ceiling and an overtime wage premium of 1.2 times the ordinary hourly rate, within a labour market where informal employment accounts for roughly 90 per cent of total employment.[R16] Where an eight-hour daily shift across five working days provides 2,400 gross scheduled minutes per week per operator, planned non-production intervals such as meal breaks, ergonomic recovery pauses, daily huddles and routine machine cleaning must be deducted explicitly to establish planned production time.[S01][S26]

Separating statutory ordinary time from authorised overtime is equally important for unit-cost governance.[R14][R16] Cameroon's statutory minimum wage (SMIG) rose from XAF 41,875 per month in 2023 to XAF 43,969 per month from 23 February 2024, roughly US$76 per month (a 5 per cent rise), whereas average monthly earnings across formal sectors sit near US$359 and the 2024 garment-sector minimum wage benchmark in Cambodia stood at US$204 per month.[R14][R15][R17] Effective labour cost per good garment is governed by earned standard minutes produced during paid hours.[S13][R14] If a plant relies on overtime hours paid at a 1.2 times premium while fatigued operators produce fewer earned minutes per hour, labour cost per good garment rises from both sides of the fraction.[R16][S41] This analysis is an engineering framework for capacity planning and is not legal, tax or investment advice; sponsors must obtain local legal review when structuring rosters and overtime authorisations under Cameroonian law.[S33]

12.2 Shift rosters require explicit deductions for recovery and line cadence

Multiplying 40 weekly hours by 60 minutes and assuming 2,400 productive minutes per operator per week forces routine human and operational needs to appear as unexplained losses.[S01][S04] Operators cannot maintain a constant sewing rhythm across eight hours without physiological recovery, needle and bobbin changes, bundle handling and supervisory alignment.[S13][S26]

In GFT's Cameroon textile programme, an eight-hour day (480 rostered minutes) deducts rest periods, a ten-minute shift huddle, five minutes of autonomous machine care and ergonomic micro-pauses.[S02][S26] Declaring an illustrative net planned window of 430 to 445 minutes per shift as the availability base aligns the takt denominator with safe sewing time.[S04][S26] Any requirement exceeding those net ordinary minutes must trigger a review of line balance, constraint staffing or order release rather than an informal instruction to work late.[S30][S41]

12.32 min · 1 sub-steps · read with a related exhibit

Overtime is not a proportional output multiplier

Factory planners under delivery pressure often treat overtime as a linear capacity buffer.[S41] Extending an eight-hour shift by two hours appears in a naive spreadsheet to add 25 per cent to daily availability and output, using this illustrative ratio as a direct multiplier. Empirical evidence refutes that assumption.[S41] Extended hours alter physiology, concentration and attendance, eroding the hourly production rate and increasing defects during both the extra hours and subsequent regular shifts.[S41]

¶ 01 · 1 source

…a naive spreadsheet to add 25 per cent to daily availability and outputillustrative

Related · Exhibit 51 · chapter 11

S41

Research published by the International Labour Organization and International Finance Corporation Better Work programme on excessive overtime, workers and productivity concludes that extending working hours does not in general yield proportionate increases in total output, and may even lead to an absolute reduction in total output in the long run.[S41] As weekly hours climb beyond the 40-hour statutory baseline, coordination slows, micro-stoppages lengthen and seam errors increase.[S04][S33][S41] In OEE terms, an apparent increase in scheduled time is offset by declines in performance and quality rates.[S04]

¶ 02 · 3 sources

As weekly hours climb beyond the 40-hour statutory baselineS04, S33, S41

S41S04S33

Chronic overtime also corrupts floor pacing.[S41] When operators expect regular late working, daytime pacing adjusts downward so workers conserve energy for the extended shift and secure the overtime premium.[R16][S41] What looks like an afternoon bottleneck requiring two hours of evening overtime is often a cycle in which fatigue slows morning paces, slower paces create midday starvations, and evening overtime produces tired workers who arrive late or absent the next day.[S20][S41]

¶ 03 · 3 sources

S41R16S20

12.4 Fatigue degrades first-pass yield and inflates rework queues

12.4

A sewing defect created during the ninth or tenth hour of a shift wastes more than the standard minutes of the station that stitched the faulty seam.[S04][S13][S21] In apparel OEE monitoring at Company X, lock-stitch repairs and stains accounted for 54.77 per cent of all defects and the top five repair categories represented 87.56 per cent of total quality losses, requiring garments to be unpicked, re-sewn, re-inspected and re-pressed.[S09] Unpicking a lock-stitch seam without damaging fabric takes two to three times longer than the original illustrative operation SMV, pulling skilled operators away from primary flow.[S09][S13]

¶ 04 · 4 sources

…repairs and stains accounted for 54.77 per cent of all defects and the top…S09

S04S13S21S09

In an illustrative comparison where a line operating for two overtime hours pays 1.2 times the normal wage while achieving 70 per cent of standard hourly pace and double its normal rework rate, labour cost per good garment during those extra hours rises by more than 70 per cent above the ordinary-hour baseline, before counting extra electricity and overhead.[R16][S34][S41] GFT therefore treats recurring overtime as a symptom of an unresolved balance, quality or scheduling failure.[S30][S41]

¶ 05 · 4 sources

…for two overtime hours pays 1.2 times the normal wage while achieving 70 per…R16, S34, S41 · illustrative

R16S34S41S30

12.52 min · 1 sub-steps · read with a related exhibit

Supervisors convert standards into daily performance

Related · chapter 11 · Exhibit 55Line boardsourcedThe ILO garment programme improved output while reducing WIP and defects

Read-out · sourcedSewing-room line achievement: +9.49%. Increase in line achievement across programme sewing rooms (S12)

Method and source

Sourced from the ILO final report on the Factory Improvement Toolset in the Asian garment sector (S12). Programme-level aggregate results across participating factories; outcomes reflect combined balancing, WIP and quality interventions and are not a standalone forecast for Cameroon.

Unit: per cent change in participating Asian garment sewing rooms. Status: sourced. Sources: S12.

Read this exhibit in chapter 11 ↗

A sewing line does not balance itself once the operation bulletin is posted.[S12][S13] Between the engineered standard and the finished garment stands the line supervisor.[S40] In every shift, the supervisor verifies attendance, reallocates tasks when a machinist is absent, checks folders and tension guides, spots upstream queues before they starve the constraint, coaches operators and resolves quality holds.[S12][S20][S26] Where supervision is weak or coercive, standards decay within days into informal workarounds.[S26][S40]

¶ 01 · 5 sources

S12S13S40S20S26

Empirical evidence shows that frontline supervisory skill is a quantifiable determinant of productivity, quality and retention.[S40][S1201] Assessments by Tufts University researchers on the ILO and IFC Better Work Supervisory Skills Training programme found that when female supervisors completed the three-day training in communication, time management, work allocation and professional conduct, line productivity increased by 22 per cent compared with lines led by untrained supervisors.[S1201] Across seven countries where more than 5,850 supervisors participated over two years, training replaced shouting with clear instruction and bottleneck resolution.[S1201]

¶ 02 · 2 sources

line productivity increased by 22 per cent compared with lines led by untrained supervisorsS1201

S40S1201

Programme evidence from East Africa and Asia reinforces these findings.[S12][S40] In its 2023 report covering 2022 data, Better Work Ethiopia documented improved productivity, higher quality, better workplace organisation and reduced absenteeism on lines led by newly trained supervisors.[S40] Similarly, the ILO SCORE and SIRAYE intervention at Edget Garment in Ethiopia paired workplace cooperation and coaching with line balancing, lifting balance efficiency from 24 per cent to 75 per cent and raising daily output from 50 to 120 pieces.[S37] Across Asian garment plants, the ILO Factory Improvement Toolset combined operation bulletins, SMV measurement, hourly balancing and bottleneck management to lift line achievement by 9.49 per cent while reducing work in progress and defects per hundred units by 22 per cent.[S12]

¶ 03 · 3 sources

lifting balance efficiency from 24 per cent to 75 per cent and raising daily…S37

S12S40S37

12.6 Frontline leadership stabilises attendance and hourly flow control

12.6

Unscheduled absence is an immediate shock to precedence and cycle balance.[S15][S17] If a 30-operator line loses three machinists at roll call, an untrained supervisor often reacts by shouting or assigning an unverified novice to a complex operation such as collar attachment.[S17][S19] The novice struggles, builds an upstream pile and starves downstream stations, causing throughput to drop by 30 to 40 per cent in an illustrative cascade triggered by a 10 per cent attendance loss.[S20][S30]

¶ 04 · 5 sources

If a 30-operator line loses three machinists at roll callS17, S19

S15S17S19S20S30

A trained supervisor manages the shock through a structured protocol.[S12][S40] Supportive leadership lowers stress-induced absenteeism, reducing missing operators at shift start.[S40] When an absence occurs, the supervisor consults the skill matrix to redeploy a cross-trained utility operator to the constraint while combining or splitting non-constraint operations so no station exceeds pitch or takt time.[S16][S17] During hourly checks, the supervisor investigates variances using root-cause inquiry rather than blame, keeping operators engaged in reporting thread breakages or cutting flaws early.[S09][S29][S40] In GFT's Cameroon textile programme, supervisor preparation is budgeted as core capacity alongside machines, with workforce pipelines detailed in white paper wp09.[S40][S1201]

12.73 min · 1 sub-steps · 1 exhibit

Turnover makes learned capacity perishable

Related · chapter 068 paragraphs step it

Related exhibit 27 · chapter 06TrajectorysourcedLearning can raise operator capacity without a layout change
6065707580Initial t…Week 6 ob…

Read-outInitial tracking baseline: Observed MMG average capacity (S18) 60.6 (average operator capacity (per cent))

Method and source

Sourced endpoints from S18: Manual Machine Group (MMG) average capacity increased from 60.6 per cent at initial tracking to 79.4 per cent after six weeks (+18.8 percentage points, or 31.0 per cent relative gain). Single-study scope; not a universal forecast for all garment styles or cohorts.

Unit: average operator capacity (per cent). Status: sourced. Sources: S18.

Read this exhibit in its chapter ↗
12.7 · Introduction · paragraph 1 of 8

Even well-supervised lines face a structural capacity leak when trained operators leave.[S39] Unlike an automated spinning frame whose cycle time remains fixed, a sewing operator acquires speed and consistency through weeks of sensorimotor learning on specific fabrics, seams and attachments.[S18][S19] High attrition destroys a factory's stock of standard-minute capability and forces the line back onto the low-output portion of the learning curve.[S18][S39]

A panel study published by the United Nations University World Institute for Development Economics Research (UNU-WIDER) examining labour turnover and workers' well-being in the Ethiopian manufacturing industry, predominantly in textiles and garments, found that almost one-third of studied workers left before completing their first six months and half left within the first year.[S39] Losing roughly 33 per cent of a cohort within six months and 50 per cent within twelve months means a plant must continuously recruit replacements merely to keep seats occupied.[S39]

To see how turnover depresses the utilisation ceiling, attrition rates must be combined with learning curves.[S18][S39] In an experimental study of manual sewing-machine operators in apparel manufacturing, average capacity attainment of the manual-machine group rose from 60.6 per cent to 79.4 per cent over six weeks, a gain of 18.8 percentage points (nearly 20 per cent) without any change in hardware or layout.[S18] Whenever an experienced operator working near 80 per cent capacity is replaced by a recruit starting near 60 per cent capacity, the station loses roughly one-quarter of its effective rate for six weeks.[S17][S18]

The cohort erosion pattern documented in the UNU-WIDER panel is shown in Exhibit 56.[S39]

As Exhibit 56 shows, losing one-third of a cohort within six months and half within twelve months turns line balancing into a continuous replacement struggle.[S39] While the UNU-WIDER study reflects Ethiopian conditions rather than a measured Cameroon baseline, it warns greenfield programmes in Cameroon, where announced projects such as Camtext SA envision roughly 12,000 jobs at Dibamba and 3,000 at Garoua and formal training incidence across surveyed firms stands at 24.0 per cent.[R10][S1202] What Exhibit 56 cannot establish is the exact attrition rate a Cameroonian plant will experience; that depends on local wages relative to the XAF 43,969 monthly SMIG and informal alternatives, transport, supervision and onboarding.[R14][R16][S40]

12.8 Skill matrices and retention gates protect constraint stations

Because sewing lines are serially dependent systems governed by their slowest station, turnover damage depends on where departure occurs.[S15][S30] Garment balancing research rates worker performance by task from 0 (no skill at all) to 1.5 (fully skilled), while remote power-monitoring research identifies task level of difficulty (LD) and operator level of skill (LS) as the primary variables governing line design and staffing.[S17][S19] If attrition removes the sole fully skilled operator (rated near 1.5) at a high-difficulty constraint operation, line output collapses to the replacement's learning-curve pace.[S17][S18][S30]

Workforce planning must therefore integrate three operational controls:

  • Cohort retention tracking by difficulty: Track 30-day, 90-day, 180-day and 365-day retention separately for trainees, standard machinists and high-skill constraint operators, linking exits to supervision and commute burden.[S19][S39][S40]
  • Cross-training buffers around bottlenecks: For every operation classified as high difficulty or operating above 85 per cent illustrative station utilisation, maintain at least two additional qualified operators on the same shift who practice weekly.[S17][S18][S20]
  • Staged onboarding outside the constraint flow: Train new recruits on off-line rigs or feeder subassemblies during their six-week ramp from 60.6 per cent toward 79.4 per cent capacity before assigning full takt responsibility.[S18][S26]
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 ↗

12.92 min · 1 sub-steps · read with a related exhibit

Ergonomics constrains sustainable speed

Time-study engineers sometimes mistake the fastest cycle an operator demonstrates during a five-minute stopwatch observation for a sustainable eight-hour standard.[S15][S26] The human body is a biomechanical system subject to cumulative muscular fatigue, postural strain and repetitive-motion injury.[S26][S38] When a workstation forces an operator to hunch over an angled needle plate, reach excessively for bundles, twist the spine or stand on bare concrete all shift, cycle time degrades and health risks accumulate.[S26][S38]

A 2025 comparative analysis of sitting and standing workstations in Ethiopian garment manufacturing published in the International Journal of Human Factors and Ergonomics highlights that sewing operator safety is vital in the clothing industry and that poor workstation ergonomics cause long-term health risks.[S38] Whether a line uses seated tables or standing cells, mismatches between operator anthropometry, table height, pedal placement and material chutes generate musculoskeletal disorders in the neck, shoulders, wrists and back.[S38] Standardised work in lean manufacturing explicitly includes documenting the process to reduce injuries and strain alongside variability.[S26]

¶ 02 · 2 sources

S38S26

Ergonomic strain enters the utilisation equation through all three OEE components and turnover.[S04][S38][S39] Discomfort causes micro-pauses as operators stretch or shift posture, depressing afternoon performance.[S04][S38] Muscular tremor and visual fatigue from poor lighting increase seam wander, lowering first-pass quality.[S04][S09] Chronic pain drives sickness absence and early resignations, accelerating turnover.[S38][S39]

¶ 03 · 4 sources

S04S38S39S09

12.10 Workstation geometry and recovery allowances validate the SMV

12.10

An engineered Standard Minute Value is valid only when its method description and relaxation allowances reflect an ergonomically safe workstation.[S13][S26][S38] When calculating garment SMV as the sum of operation SMVs, engineers add basic time to allowances for personal needs, fatigue recovery and unavoidable delay.[S13] Copying synthetic time standards while providing non-adjustable stools and poorly positioned racks leaves the fatigue allowance too small for actual recovery.[S13][S38]

¶ 04 · 3 sources

S13S26S38

Before locking an operation bulletin, engineers should verify four parameters at every station:

¶ 05
  1. Height alignment: Chairs and tables must let forearms rest near horizontal at the needle plate without elevating shoulders or flexing the neck.[S26][S38]
  2. Primary reach zone: Pickup and drop chutes must sit within easy reach so operators do not twist their torso on every cycle.[S26][S38]
  3. Pedal and lighting calibration: Foot pedals and knee lifters must respond smoothly, with glare-free task lighting at the needle point.[S09][S38]
  4. Verified fatigue allowances: Heavy fabric handling or standing pressing requires higher documented recovery allowances inside the SMV than light seaming.[S13][S38]

12.113 min · 2 sub-steps · 2 exhibits

Power reliability belongs in line design and maintenance

Exhibit 57Status lampssourcedOutages can destroy productivity before a sewing line starts

Read-out · sourcedProductivity penalty: -9%. Lower average revenue-based TFP for outage-exposed firms across 84 countries (S36)

Method and source

Sourced from World Bank 84-country manufacturing study 2006 to 2019 (S36) and World Bank Enterprise Surveys Cameroon 2024 Country Profile published 2025 (S1202). The 9% TFP gap is a multi-country average across 84 developing economies, not a Cameroon-only econometric estimate.

Unit: reported survey and econometric indicators. Status: sourced. Sources: S36, S1202.

Even with a trained, ergonomically supported and well-supervised workforce within lawful hours, a garment line cannot produce good garments without reliable electricity.[S35][S36] In Cameroon, assuming uninterrupted grid power is fatal to schedule accuracy and unit-cost forecasting.[S35][S1202]

Institutional diagnostics and firm surveys establish that electrical instability is a binding constraint on Cameroonian manufacturing.[S35][S1202] The International Finance Corporation's Country Private Sector Diagnostic for Cameroon states directly that regarding access to electricity, energy supply is limited and unreliable.[S35] Data from the World Bank Enterprise Surveys Cameroon 2024 Country Profile quantify this disruption: 93.3 per cent of surveyed firms in Cameroon report experiencing electrical outages, compared with 69.7 per cent across Sub-Saharan Africa and 55.0 per cent across lower-middle-income economies.[S1202] Surveyed Cameroonian establishments experience an average of 10.4 electrical outages in a typical month (10.6 for small firms, 9.4 for medium firms and 11.8 for large firms with 100 or more employees), nearly double the lower-middle-income average of 5.3 outages per month.[S1202] Moreover, 25.3 per cent of large firms in Cameroon identify electricity as their single biggest obstacle, ahead of political instability (19.7 per cent) and access to finance (11.3 per cent).[S1202]

¶ 02 · 2 sources

93.3 per cent of surveyed firms in Cameroon report experiencing electrical outagesS1202

S35S1202

World Bank Development Research Group analysis across 84 countries from 2006 to 2019 shows that power outages negatively and significantly affect revenue-based total factor productivity, with outage-exposed manufacturing firms exhibiting a 9 per cent lower unconditional average productivity than non-exposed firms.[S36] As the World Bank's Cameroon 2024 profile notes, inadequate electricity provision can increase costs, disrupt production and reduce profitability.[S1202]

¶ 03 · 2 sources

with outage-exposed manufacturing firms exhibiting a 9 per cent lower unconditional average productivity than non-exposed firmsS36

S36S1202

The indicators connecting electrical unreliability to productivity and Cameroonian operating conditions are summarised in Exhibit 57 and Exhibit 58.[S36][S1202]

To place Cameroon's electrical exposure in comparative perspective, Exhibit 58 ranks the share of firms experiencing electrical outages by firm size tier in Cameroon against regional and income-group benchmarks from the same World Bank survey.[S1202]

¶ 05 · 1 sourceExhibit 58

S1202

Exhibit 58Ranked barssourcedElectrical outages affect nearly every surveyed firm tier in Cameroon
Cameroon small (5 to 19 workers)95.7Cameroon all firms (2024)93.3Cameroon medium (20 to 99 workers)90.6Cameroon large (100+ workers)77.9Sub-Saharan Africa average69.7Lower-middle-income average55

Read-outCameroon small (5 to 19 workers): 95.7 percent of surveyed firms

Method and source

Sourced from World Bank Enterprise Surveys Cameroon 2024 Country Profile Appendix (S1202). Covers formal non-agricultural private firms with 5 or more employees.

Unit: percent of surveyed firms. Status: sourced. Sources: S1202.

Together, Exhibit 57 and Exhibit 58 show why a Cameroonian garment plant cannot treat electricity as an external utility issue.[S36][S1202] Even among large establishments with 100 or more workers, 77.9 per cent experience outages at an average of 11.8 outages per typical month.[S1202] However, these survey aggregates do not specify the exact duration or voltage-sag profile at a specific feeder in Douala, Dibamba or Garoua; each factory must log its own feeder events at the shift boundary.[R10][S1202]

¶ 01 · 3 sources

Even among large establishments with 100 or more workersS1202

Exhibit 57Exhibit 58

S36S1202R10

12.12 Outages impose blackout, restart and voltage-damage losses

12.12

In an apparel OEE loss tree, an electrical outage is more than the raw minutes during which the feeder is dead.[S02][S04] Total Productive Maintenance (TPM) identifies startup and restart losses alongside breakdowns, setup slowdowns, short stoppages and quality defects inside the six big losses.[S02] When grid power drops on a running floor, three losses occur:

¶ 02 · 2 sources

S02S04

  1. Blackout or switchover downtime: Even with an automatic transfer switch and backup generation, the interval between grid loss, generator spin-up, synchronisation and line restart consumes planned time.[S02][S04] Where backup generation is absent, the floor sits idle while attended wages accrue.[R16][S35]
  2. Restart and thermal-recovery losses: Garment assembly relies on fusing presses, steam boilers, vacuum tables and air compressors.[S02] When power cuts out, fusing belts must emergency-clear to avoid scorching panels, and thermal setpoints take 10 to 25 illustrative minutes after restoration to stabilise.[S02]
  3. Quality and equipment damage: Mid-seam power drops leave needles in fabric, create thread tangles, cause burn stains in fusing presses and subject servo-motor boards to voltage transients on restoration.[S02][S09]
List · 5 sources

S02S04R16S35S09

IEEE analysis of OEE emphasises separating equipment-independent external conditions from internal machine reliability.[S06] A sewing line's downtime log must assign distinct codes to GRID-OUTAGE, GEN-SWITCH, THERMAL-RESTART and SURGE-FAULT.[S02][S06]

¶ 03 · 2 sources

S06S02

12.13 Tariff structure and efficiency shape backup power design

12.13

Mitigating interruptions intersects with Cameroon's electricity tariff structure and efficiency discipline.[S34][S43] Under Decision No. 00000427 of 12 December 2022 issued by Cameroon's electricity regulator (ARSEL) fixing medium-voltage (MT) tariffs for ENEO customers, billing combines two additive terms: a fixed monthly charge per kilowatt of subscribed demand and a variable charge per kilowatt-hour across time-of-day bands.[S34] Because the fixed demand charge accrues regardless of output, low utilisation and power stoppages raise the fixed electricity cost absorbed by each good garment.[S34][S44]

¶ 04 · 3 sources

Under Decision No. 00000427 of 12 December 2022 issued by Cameroon’s electricity regulator (ARSEL)…S34

S34S43S44

UNIDO's industrial energy case study at Lotus Garments in Egypt establishes that a garment plant must optimise its energy management system through efficiency measures before investing in renewable or backup power applications.[S43] Sizing solar, battery storage or backup generators around an inefficient load wastes capital on compressed-air leaks, uninsulated steam pipes and idling motors.[S43][S44] Eliminating base-load waste, fitting servo motors and isolating critical bottleneck circuits on uninterruptible power supplies shrinks the backup capacity required to keep the constraint moving.[S30][S43] Detailed microgrid sizing remains with white paper wp07 and GFT's solar-storage tool, while unit-cost accounting is expanded in Chapter 13.[S34][S43]

¶ 05 · 4 sources

S43S44S30S34

12.145 min · 1 sub-steps · 2 exhibits

Buyer planning can reduce avoidable peaks

Step 1 of 6Statutory 40h roster base

Exhibit 59 · illustrativeThe attainable schedule combines legal, human and power constraints

External and commercial mitigationCore plant operating envelopeMonitor and log boundaryFoundational floor complianceDirect plant management control →Sustained throughput protection →Statutory 40h roster…Supervisor coaching c…Cross-trained relief…Ergonomic station cal…Constraint backup pow…Advance buyer peak sm…
External and commercialmitigationCore plant operatingenvelopeMonitor and log boundaryFoundational floorcomplianceDirect plant management control →Sustained throughput protection →Statutory 40h roster…Supervisor coaching c…Cross-trained relief…Ergonomic station cal…Constraint backup pow…Advance buyer peak sm…

Statutory 40h roster base

Statutory 40h roster base: Direct plant management control 9, Sustained throughput protection 7.8. Quadrant: Core plant operating envelope · illustrative

A plant’s ability to maintain a 40-hour roster, protect ergonomics, avoid chronic overtime and schedule energy-intensive tasks outside peak grid-vulnerability windows depends on how customer orders enter the system.

Supervisor coaching cadence

Supervisor coaching cadence: Direct plant management control 8.4, Sustained throughput protection 8.8. Quadrant: Core plant operating envelope · illustrative

Cross-trained relief pool

Cross-trained relief pool: Direct plant management control 7.8, Sustained throughput protection 8.5. Quadrant: Core plant operating envelope · illustrative

Ergonomic station calibration

Ergonomic station calibration: Direct plant management control 8.6, Sustained throughput protection 7.2. Quadrant: Core plant operating envelope · illustrative

Constraint backup power & UPS

Constraint backup power & UPS: Direct plant management control 6.5, Sustained throughput protection 9.2. Quadrant: Core plant operating envelope · illustrative

Advance buyer peak smoothing

Advance buyer peak smoothing: Direct plant management control 3.8, Sustained throughput protection 8.1. Quadrant: External and commercial mitigation · illustrative

The method behind it: Capacity derating boundary and multiplicative reconciliation.

Method and source · Exhibit 59

Illustrative GFT planning matrix scoring six operational envelope controls by degree of direct in-plant management control (x-axis, 0 to 10) and protective impact on sustained good throughput (y-axis, 0 to 10). Conceptual basis drawn from statutory hours (S33), power reliability (S35), ergonomics (S38) and turnover dynamics (S39). Scores are illustrative design judgments, not measured factory outcomes.

Unit: illustrative planning score (0 to 10). Status: illustrative. Sources: S33, S35, S38, S39. Illustrative figures are teaching examples, not measured factory results.

12.14 · the bodyExhibit 59 above; its figures are illustrative where marked.

A plant's ability to maintain a 40-hour roster, protect ergonomics, avoid chronic overtime and schedule energy-intensive tasks outside peak grid-vulnerability windows depends on how customer orders enter the system.[S33][S41][S42] When commercial teams accept volatile orders with compressed lead times and uncoordinated peaks, they inject surges into the sewing room that no internal balancing algorithm can absorb smoothly.[S22][S42]

¶ 01 · 4 sources

A plant’s ability to maintain a 40-hour rosterS33, S41, S42

Related · Exhibit 37 · chapter 08

S33S41S42S22

International Labour Office research on purchasing practices in global garment supply chains documents that erratic buyer ordering and last-minute changes drive excessive overtime and compliance failures, while noting that some companies plan their orders, lead times and production peaks in advance with their suppliers.[S42] Sharing capacity forecasts, locking specifications before the cut date and smoothing order peaks allow the factory to stabilise takt time and run steady shifts.[S15][S42]

¶ 02 · 2 sources

S42S15

MIT operations teaching highlights that Little's Law strictly applies to long-term averages of stable systems that are not starting, stopping or surging, and that waiting time rises nonlinearly as capacity utilisation approaches saturation.[S22][S23] Accepting an order peak that pushes required weekly hours past the plant's derated ceiling causes queues to explode, work in progress to age and defect rates to climb.[S20][S23][S41]

¶ 03 · 4 sources

S22S23S20S41

12.15 Commercial order gates must check derated capacity before commitment

12.15

Sales and operations planning (S&OP) must evaluate every proposed order release against attainable derated capacity rather than nameplate capacity.[S04][S42] Before confirming a delivery date, planners should verify four gates:

¶ 04 · 2 sources

S04S42

  • Net ordinary-hour feasibility: Required standard minutes must fit within net planned minutes of the 40-hour statutory week across qualified operators.[S13][S33][S41]
  • Skill-adjusted ramp allowance: Orders with new constructions or recent hires must apply six-week learning-curve ramps (such as the 60.6 per cent to 79.4 per cent manual-machine progression) rather than steady-state efficiency.[S17][S18]
  • Outage and changeover derating: Available hours must deduct changeover duration and expected feeder outage or transfer losses from the rolling 90-day power log.[S02][S25][S1202]
  • Material readiness gate: Fabric, thread, trims and approved samples must be verified on site before release, preventing starvation stops that mimic machine downtime.[S06][S26]

The planning framework integrating statutory hours, human capability, ergonomic safety and electrical reliability is mapped in Exhibit 59.[S33][S35][S38][S39]

¶ 05 · 4 sourcesExhibit 59

S33S35S38S39

As Exhibit 59 shows, five of the six controls sit under direct plant control: enforcing the 40-hour statutory roster, coaching supervisors, maintaining a cross-trained relief pool, calibrating ergonomics and protecting constraints with backup power.[S33][S35][S38][S39] Advance buyer peak smoothing sits in the upper-left quadrant because it requires commercial negotiation, yet its high vertical position reflects how strongly order smoothing protects internal flow.[S41][S42] Because Exhibit 59 is an illustrative model, its coordinates guide prioritisation rather than asserting universal elasticities.

¶ 06 · 6 sources

enforcing the 40-hour statutory rosterS33, S35, S38, S39

Exhibit 59

S33S35S38S39S41S42

The sequential derating bridge from the worked example is presented in Exhibit 60.[S04][S36][S39]

¶ 07 · 3 sourcesExhibit 60

S04S36S39

As Exhibit 60 makes clear, three moderate constraints (10 per cent power loss, 15 per cent skill and absence loss and 5 per cent quality loss) compound multiplicatively to remove 273 pieces per 1,000 nominal units, reducing deliverable output by 27.3 per cent.[S04] A live factory must replace these illustrative percentages with measured shift averages before setting order caps.[S01][S04]

¶ 08 · 2 sources

reducing deliverable output by 27.3 per centS04

Exhibit 60

S04S01

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43 sources · 342 citation marks on this pageMost cited: S04, 29 times

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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

S14 Online Clothing Study. 2024-11-14.

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

S35 International Finance Corporation, World Bank Group. 2022.

S36 World Bank, Development Research Group. 2023.

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

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

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

S33 Republic of Cameroon, English text mirrored by Ministry of Commerce of China. 1992-08-14.

S39 United Nations University World Institute for Development Economics Research. 2021.

S01 International Organization for Standardization. 2014.

R16 WageIndicator. Publication date unrecorded; inherited source-text check.

S26 Lean Enterprise Institute. 2020-07-02.

R14 WageIndicator. Publication date unrecorded; inherited source-text check.

R15 wage.is. Publication date unrecorded; inherited source-text check.

R17 just-style. Publication date unrecorded; inherited source-text check.

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

S41 Better Work, International Labour Organization and International Finance Corporation. 2011.

S02 National Institute of Standards and Technology. 2018.

S30 Lean Enterprise Institute. 2006-09-08.

S20 MDPI, Machines. 2023-11-02.

S21 Elsevier, Lean Tools in Apparel Manufacturing. 2021.

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

S34 Agence de Régulation du Secteur de l'Electricité, Republic of Cameroon. 2022-12-12.

S12 International Labour Organization. 2023.

S40 Better Work, International Labour Organization and International Finance Corporation. 2023.

S1201 Better Work, International Labour Organization and International Finance Corporation. 2016-09-26.

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

S15 Wiley, Engineering Reports. 2020-04-03.

S17 Atlantis Press, International Journal of Computational Intelligence Systems. 2021-04-26.

S19 MDPI, Applied Sciences. 2020-04-29.

S16 MDPI, Energies. 2019-07-19.

S29 Lean Enterprise Institute. 2020-07-02.

S18 MDPI, Applied Sciences. 2021-11-23.

R10 Ecofin Agency. Publication date unrecorded; inherited source-text check.

S1202 International Bank for Reconstruction and Development and The World Bank, Enterprise Analysis Unit. 2025-04-02.

S38 Inderscience, International Journal of Human Factors and Ergonomics. 2025-08-07.

S06 IEEE, IEEE Transactions on Semiconductor Manufacturing. 2005-02-28.

S43 UNIDO Industrial Energy Accelerator. 2020.

S44 United Nations Industrial Development Organization. 2015.

S42 International Labour Office. 2017.

S22 Massachusetts Institute of Technology, MIT OpenCourseWare. 2012.

S23 Massachusetts Institute of Technology, MIT OpenCourseWare. 2004.

S25 Lean Enterprise Institute. 2020-07-02.

Keep the thread · chapter 12 of 14

Chapter 13 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

13Part IV: Turn measurement into sustained performance

Unit economics improve only when losses close

The financial benefit is not a higher dashboard score; it is more good garments at acceptable labour, energy, capital and working-capital cost.

  • 13.1Fixed cost is absorbed by good output
  • 13.4Low nominal wages do not remove the productivity problem
  • 13.7Maintenance value should be read through lost capacity
  • 13.10Electricity cost contains fixed and variable elements
Reading time
28 min
Exhibits
5
Sections
7
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