Sewing holds the largest share of headcount and variance in the venture. Line balance, first-pass yield and a five-number supervisor routine decide whether a low wage becomes a competitive unit cost.
Arrow along the seam: each stitch is ten minutes of the shift.
Operable sewing instrument · Line balancing, OEE decomposition and shift losses
Pull the downtime and watch a 480-minute seam lose its stitches.
Overall Equipment Effectiveness multiplies availability, performance and quality. Pick a floor state, pull the downtime, and read which stitches of the shift are lost.
20406080100 min
Station cycle against the 60 s pitch · illustrative seconds
60 s pitch
58 sS1 Induct
61 sS2 Collar
63 sS3 Sleeve
57 sS4 QC
60 sS5 Seam
59 sS6 Hem
GateFloater
79.2%OEE, illustrative shift
Availability87.5%
Performance95.2%
Quality95.0%
Minutes lost: 60 stopped · 20 slow · 20 rework
Every station inside 63 s of a 60 s pitch: bundles move, nothing piles.
Sleeve set at 84 s sets the pace: bundles pile in front of it and the stations after it wait.
A roving check at station S4 catches a tension fault before the bundle moves on.
A floater takes half the sleeve operation: the slowest station drops from 84 s to 66 s.
Match workstation cycle times to line tact so bundles advance without starving or piling up.
Planned shift time (480 minutes) across all staffed workstations on the line.
Gate rule
Display hour-by-hour target versus actual output on a physical board at the end of every sewing line.
Method
In the illustrative shift model, a 480-minute shift with 60 minutes of changeover and maintenance downtime leaves 420 minutes of run time. At an ideal cycle pitch of 60 seconds per unit, producing 400 total garments with 20 rejects yields 380 accepted garments: Availability is 87.5 percent, Performance is about 95.2 percent, Quality is 95.0 percent and overall OEE is about 79.2 percent.
The slowest station governs the output of the entire sewing line.
Formula
Line throughput ceiling = (available run minutes) / (cycle time of slowest bottleneck station)
Denominator
Completed, inspected garments exiting the final hemming station per shift.
Gate rule
Cap work-in-progress buffers between stations so a growing bundle queue triggers immediate supervisor rebalancing.
Method
When a complex operation such as sleeve setting or placket attachment runs slower than adjacent stations, work-in-progress bundles pile up in front of that single machine while downstream operators sit starved of work. Paying upstream operators for raw piece volume only deepens the pile without adding a single finished garment at the end of the line.
Catch skipped stitches and seam puckering at the needle before thirty pieces are spoiled.
Formula
Quality factor = (400 total units - 20 rework/reject units) / (400 total units) = 95.0% first-pass yield
Denominator
Total garments reaching the end-of-line inspection table during the shift.
Gate rule
Three consecutive stitch defects at one workstation raise an amber andon flag and pause the bundle for mechanics.
Method
Waiting until end-of-line inspection to check seam quality allows a maladjusted tension disc or damaged needle to ruin an entire bundle before detection. Roving inline inspectors check random pieces at the machine and enforce self-inspection between operations, keeping rework losses inside the 20-unit illustrative shift budget.
Deploy multi-skilled utility operators and split operations when absence or style change strikes.
Formula
Balanced pitch = (combined station standard allowed minutes) / (assigned operator count at bottleneck)
Denominator
Active workstation pitch time aligned to the shift target tact.
Gate rule
Limit each line supervisor to five controllable numbers so floor coaching is never buried under clerical paperwork.
Method
In Deliverable 1 and Deliverable 2, the line supervisor is the decisive operational role. Within the first hour of the shift, the supervisor audits attendance against the skills matrix, assigns a cross-trained floater to share the bottleneck operation or splits a long seam task across two machines to restore line pitch.
Method demonstration only. The 480-minute / 380-productive-minute OEE calculation is an illustrative shift model from the programme toolkit, not observed data from a Cameroon factory. Cycle seconds, queue length and the supervisor-relief step are design assumptions inside that model.
Physical process architecture · Progressive assembly and lockstitch mechanics
A sewing line is a coupled mechanical network where twenty to forty operations must beat at a single rhythm.
The feasibility concept pictures about six sewing lines and a workforce near 900 people making 3.0 million garments a year, so on a floor this labour-intensive the layout decides unit cost.
InputBundle LY-0238 from Cutting: a numbered, shade-matched cut kit
Bundle ID scan at line entryHourly tally and WIP queueInline pass or fail tallyEnd-of-line accepted count
Select a ring or use the arrow keys · cycles are illustrative seconds against a 60 s pitch
Induct · Induction
Balanced58 s
Unbalanced52 s
58 s52 scycle at this station
0 bundles0 bundlesWIP in front
Physical action
Operators fuse interlinings, prepare collars, cuffs, pockets and plackets, and stage sub-assemblies at the head of the main line.
Loss vector
Missing trim components or mismatched shade tickets stall the main assembly line before join operations start.
Join · Sleeve set
Balanced63 s
Unbalanced84 s
63 s84 scycle at this station
0 bundles6 bundlesWIP in front
Physical action
Single-needle lockstitch and safety-stitch machines join primary load-bearing seams to exact seam-allowance guides.
Loss vector
Sleeve-set and collar-attach stations frequently become line bottlenecks due to curved seam handling complexity.
Audit · Roving check
Balanced57 s
Unbalanced55 s
57 s55 scycle at this station
0 bundles0 bundlesWIP in front
Physical action
Roving QC inspectors verify stitch density (stitches per centimetre), seam allowance, tension balance and measurement tolerances directly at the machine.
Loss vector
Unbalanced bobbin tension causes seam grinning or thread snapping after washing; damaged needles cut cotton yarns.
Close · Hem and bartack
Balanced60 s
Unbalanced53 s
60 s53 scycle at this station
0 bundles0 bundlesWIP in front
Physical action
Overlockers close continuous side seams; coverstitch and lockstitch machines finish hems; end-of-line inspectors audit 100 percent of garments before release.
Loss vector
Twisted side seams or skipped hem stitches require manual unpicking and re-sewing, consuming productive shift minutes.
A low wage means little if machines wait for mechanics or piece rates reward defective seams: GFT couples the line with quality-gated pay.
Rework amplifier
Pay by the bundle, supervise by the clipboard.
Operators are paid per bundle sewn, whatever is rejected downstream, so speed beats seam quality.
Supervisors expedite and fill in late shift sheets instead of balancing queues in real time.
Reported sector utilisation of 10.83% to 48.9% (R12) spreads fixed overhead over few garments.
Source
Coupled OEE discipline
Pay on first-pass yield, supervise five numbers.
Bonuses trigger only when line first-pass yield clears its threshold, above the statutory wage floor.
Supervisors manage five controllable numbers, with a 15-minute daily huddle and hourly board checks.
Preventive maintenance and buffers protect the 380-productive-minute illustrative shift.
Programme evidence · Utilisation, statutory wages and the supervisor gap
Low statutory wages do not create competitiveness unless capacity utilisation and supervisor capability are solved together.
Feasibility Study Sections 4, 6 and 9 pair sourced Cameroon labour and incumbent-utilisation figures to demonstrate why factory performance, rather than nominal wage rates alone, decides unit cost.
The shift seam as a ruler · 48 stitches = one shift = 100%
0%25%50%75%100%
About 5 of 48 stitches of a shift, for scale only
Reported CICAM utilisation ran from 10.83% to 48.9% in July 2023 (R12). The programme concludes that experienced line supervision and OEE discipline are the binding constraint.
Monthly wage benchmarks
XAF for Cambodia and the cross-sector average are converted at the rate implied by R14 (XAF 43,969 for about US$76): GFT arithmetic, not quoted prices.
Cameroon’s statutory minimum wage is XAF 43,969 a month, about US$76 (R14). Cambodia’s garment minimum is US$204 (R17). The wage gap is real. It is not the whole story.
10.83%
CICAM 2 capacity utilisation, reported July 2023. Underutilisation was reported to cost about CFAF 2 billion in 2020. Source: R12
CICAM 1 capacity utilisation, reported July 2023, the highest of the three sites. Source: R12
79.2%
Illustrative shift OEE, a GFT model and not an observed result. OEE and capacity utilisation are different measures, drawn together for scale only. Source: GFT model
about US$76XAF 43,969
Cameroon statutory minimum (SMIG) a month from 23 February 2024, up 5% from XAF 41,875. A floor, not target take-home pay. Source: R14
US$204about XAF 118,000
Cambodia garment minimum a month, 2024. A nominal benchmark: unit labour cost still depends on efficiency and OEE. Source: R17
about US$359about XAF 208,000
Cameroon average salary a month across all sectors, from a salary site as recorded in the programme annex. Source: R15
CFAF 30.7 to 48.2 billion
Restructuring estimates for the incumbent, with 70.2 billion in one relaunch plan, as reported in the programme annex. Source: R13
40-hour week
Standard week, 48-hour maximum, overtime at 1.2 times normal pay; about 90% of national employment is informal. Source: R16
Read the sourced noteTwo annex paragraphs and the evidence table
Programme annex source R14 records Cameroon’s statutory minimum wage (SMIG) rising from XAF 41,875 a month in 2023 to XAF 43,969 a month from 23 February 2024 (about US$76, a 5 percent increase, R14), alongside a reported cross-sector average salary near US$359 a month (R15). Labour context in R16 notes an informal employment share around 90 percent and a statutory 40-hour standard working week (48-hour maximum with overtime at 1.2 times normal pay, R16). For international context, Cambodia’s garment-sector minimum wage was US$204 a month in 2024 (R17).
However, nominal wage comparisons are misleading without productivity and asset utilisation. In July 2023, media reporting on the state textile incumbent CICAM cited capacity utilisation of 33.7 percent at Garoua, 48.9 percent at CICAM 1 and 10.83 percent at CICAM 2, with underutilisation reported to have cost roughly CFAF 2 billion in 2020 (R12) and restructuring estimates ranging from CFAF 30.7 billion to 48.2 billion (or 70.2 billion in one relaunch plan, R13). The GFT programme concludes that the binding constraint is experienced line supervision and OEE discipline.
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Sewing-floor economics and utilisation context (sourced annex records vs GFT operating design)
Dimension
Sourced figure
GFT design rule
Statutory wage floor vs effective pay
SMIG XAF 43,969/mo (~US$76) from Feb 2024 (up 5% from XAF 41,875); cross-sector average ~US$359/mo; Cambodia garment minimum US$204/mo
Pay above the statutory floor with transparent attendance and quality-gated line bonuses; track labour cost per accepted garment
Working-time and formal employment rules
Standard 40-hour week, 48-hour maximum, overtime at 1.2x; ~90% national informal employment share
Operate formal contracts, predictable shift schedules, ergonomic seating/lighting and structured onboarding for first-time industrial workers
Capacity utilisation swing variable
Historical CICAM utilisation reported at 10.83% (CICAM 2), 33.7% (Garoua) and 48.9% (CICAM 1) in July 2023; CFAF 2bn 2020 loss
Decompose every 480-minute shift into Availability, Performance and Quality; attack changeover, mechanic wait and bottleneck starvation daily
Illustrative shift OEE decomposition
480 min planned, 60 min downtime (87.5% A), 400 units at 60s pitch (95.2% P), 380 good / 20 rejects (95.0% Q) = 79.2% OEE Illustrative model
Use the 480-to-380 minute waterfall in morning supervisor huddles to convert abstract percentages into concrete minutes saved
Sourced figures R12 to R17 are reproduced from the programme evidence annex with their date and scope qualifications. The 79.2% OEE figure is an illustrative shift model from the programme toolkit, not an observed factory result.
Basis of preparation: programme analytical synthesis prepared 31 January 2024, evidence annex refreshed 2026. External citations (R01 to R32) keep their source qualifications. Factory capacities, OEE waterfalls and buffer parameters are illustrative design models, not operating results, and nothing here is financial, legal or tax advice.
Sources
Cameroon operating reality · Closing the supervisor gap and building floor resilience
Solving the Cameroon supervisor gap requires a three-stage training pipeline, not external hiring alone.
Feasibility Study Section 6 identifies the scarcity of experienced industrial garment line supervisors as a binding local constraint and makes a structured training programme one of the three conditions for the venture’s conditional go.
Supervisor posts
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
0 of 6 posts held by a trained supervisor
3 forming · months 1 to 3 · Curriculum first, candidates in training
2 of 6 posts held by a trained supervisor
3 forming · months 4 to 8 · Seed trainers cover the pilot lines
6 of 6 posts held by a trained supervisor
0 forming · months 9 to 18 · Every line led by a home-grown supervisor
Stage 01 · Institute partnership
Partner with technical institutes, including the Garoua training ecosystem, on a practical industrial-engineering curriculum: pitch balancing, time study, the five-number huddle.
Stage 02 · Seed trainers
Recruit a small seed cohort of experienced production trainers to run the pilot lines and the internal training cell, with off-line machines where senior operators learn the routine.
Stage 03 · Promote from within
Open a transparent pathway that trains high-performing multi-skilled operators to become team leaders and supervisors, measured by the PMS supervisor readiness ratio.
High people risk · Induction and rosters
Structured induction, predictable 40-to-48-hour rosters and quality-gated group bonuses. Monthly turnover, absenteeism and grievance resolution logs in the PMS.
High availability risk · Servo motors and spares
Direct-drive servo motors with voltage protection and standardised machine fleet spares. Line Log machine-downtime minutes and mean-time-to-repair (MTTR) tracker.
Safety and quality gate · Needle fragments and airflow
Strict broken-needle fragment accounting and high-volume low-speed (HVLS) floor ventilation. Daily broken-needle register and afternoon vs morning hourly performance ratio.
Binding venture condition · The pipeline itself
Three-track supervisor pipeline: institute partnership, seed trainers and internal promotion. PMS People sheet supervisor readiness ratio and 18-month maturity assessment.
Why a pipeline, not hiring aloneThe constraint and the three tracks
Because domestic industrial apparel manufacturing contracted sharply over recent decades (with incumbent market share and utilisation falling, R11, R12) and roughly 90 percent of national employment operates in the informal sector (R16), a new factory cannot simply poach thirty ready-made line supervisors from local competitors.
GFT’s workforce blueprint addresses this head-on through a three-track pipeline: (1) partnering with technical institutes (including the Garoua training ecosystem) on a practical industrial engineering curriculum, (2) recruiting a small seed cohort of experienced production trainers to run the pilot lines, and (3) establishing a transparent promote-from-within pathway that trains high-performing multi-skilled operators to become team leaders and supervisors.
Illustrative sketch. The feasibility concept has roughly six sewing lines, so six line supervisor posts. The fill order is a design sketch, not a forecast.
Sources
Anatomy of a lost shift · How 480 planned minutes shrink on the floor
Capacity disappears in three quiet leaks: stopped machines, starved bottlenecks and unpicked seams.
480min planned→380min productive
The shift seam after the floor has run: 38 stitches stay, 10 are unpicked
480 min · Baseline · Baseline · 100% of the shift
Planned shift
Eight staffed hours across progressive workstations. Everything below is taken from this.
420 min · 60 min lost · 87.5% availability
Stopped machines
A late style changeover, a broken rotary hook waiting for a mechanic, or a power switchover to the backup generator leaves 420 running minutes: 87.5% availability.
400 min · 20 min lost · 95.2% performance
Starved bottleneck
Micro-stoppages and an unbalanced sleeve-setting station hold the line to 400 units against 420 of theoretical capacity: 95.2% performance.
380 min · 20 min lost · 95.0% quality · 79.2% OEE
Unpicked seams
Inspectors flag 20 garments with skipped stitches or uneven collar points. Unpicking and re-sewing costs 20 more minutes: 95.0% quality, 79.2% OEE.
The tour moves every 4 s; select a column to hold it.
An idle needle costs the same overhead whether it is waiting for power, waiting for a sleeve bundle or re-sewing a crooked collar.
Audit attendance, check the skills matrix and balance workstation pitch.
Before power-on, the supervisor runs a 15-minute stand-up at the line board, reviews yesterday’s five numbers, assigns a multi-skilled utility operator to cover any absence and verifies bundle availability.
Target
480 min planned
Actual
Five numbers reviewed
Board empty · header shows yesterday
02Step 02 · Tact progression
Advance numbered bundles across stations and log hourly target versus actual.
As operators sew collars, shoulders and sleeves, completed bundles move through bounded WIP chutes. Every hour, the supervisor marks actual pieces against the target pitch on the visual line board.
Target
60 units an hour at a 60 s pitch
Actual
Bundles in tact, WIP capped
Hour 4 reached · rows 1 to 4 logged
03Step 03 · Inline containment
Trigger the andon flag on three defects and resolve tension or needle faults on the spot.
When roving QC spots repeated seam puckering or skipped stitches at a station, the amber andon flag goes up. A mechanic adjusts tension immediately so defective work never floods downstream.
Target
95.0% first-pass yield
Actual
Three defects raise the andon flag
Hour 6 · rework caught at S4
04Step 04 · Shift closure
Reconcile accepted units, rework and downtime causes into the PMS Line Log.
At shift end, the 400 total units, 380 accepted units, 20 reworked units and 60 downtime minutes are reconciled into the Line Log and Quality Log, setting tomorrow’s huddle agenda.
Target
420 units at pitch
Actual
400 made · 380 good · 79.2% OEE
Hour 8 · shift reconciled
PMS governance · The five-number supervisor rule and cadence architecture
Give every line supervisor five controllable numbers and a 15-minute daily rhythm.
Each sewing supervisor owns five controllable numbers that can be acted on during the shift, reviewed in a 15-minute huddle at the board, never in a thirty-column spreadsheet.
1Plan attainment95.2%400 of 420 units at pitch
2Line efficiency87.5%availability: 420 of 480 min
3First-pass yield95.0%380 good of 400 made
4Unplanned downtime60 minlogged by cause: machine, material, method, power, absence
5Attendance and skills2 backupscertified at each critical station
One adjustment for today Clear yesterday’s top bottleneck before the whistle.
Every shift start (10-15 min) · Line Supervisor, Roving QC & Mechanic
Stand in front of the physical line board and solve yesterday’s top bottleneck before the whistle.
Check attendance and deploy cross-trained relief operators to cover any open bottleneck workstation.
Show physical examples of yesterday’s top stitch defect (such as collar point asymmetry or skipped hem stitch).
Confirm mechanic preventive checks on the line’s highest-downtime machine from the previous shift.
Downtime minutes by root cause, ranked (illustrative order) · the six stopped stitches by cause
Machine2 stitches
Material2 stitches
Method1 stitch
Power1 stitch
Absence0 stitches
Every week (60 min) · Production Manager, IE Lead & Quality Manager
Compare OEE waterfalls, style changeover times and rework root causes across all six lines.
Break down downtime minutes by root cause (Machine, Material, Method, Power, Absence) and assign engineering fixes.
Audit style changeover durations and standardise preset presser-foot and folder attachments.
Verify that line incentive payouts align strictly with verified first-pass yield and attendance records.
18-month PMS maturity roadmap
CaptureMonths 1 to 3
CadenceMonths 4 to 8
Root-cause improvementMonths 9 to 12
Data-driven floorMonths 13 to 18
Every month (half-day) · Plant Director & HR / Training Lead
Track the supervisor training pipeline, operator progression and unit labour cost trends.
Review promote-from-within supervisor candidates and polyvalence skill-matrix certifications.
Compare actual standard allowed minutes (SAM) achieved per style against commercial costing assumptions.
Audit turnover, absenteeism and workplace safety metrics in the People and Sustainability sheet.
Four curves from the illustrative shift model · select a card
downtime
Curves, bands and the four-station coverage ladder are computed from the illustrative shift model. They are not observed Cameroon data. The OEE and labour-cost markers follow your downtime; yield and coverage keep their default reading.
Value-chain continuity · From sewing floor to finishing and dispatch
Inspected first-pass garments leave the sewing line ready for steam pressing, metal detection and provenance sealing.
When a garment clears the end-of-line sewing table, its bundle ticket links the completed assembly record back to the cutting lay and fabric roll, and hands custody forward to Finishing and dispatch.
Hour 8 of 8 · seam tied off
79.2%OEE, illustrative shift
380 productive minutes sewn so far
A87.5%
P95.2%
Q95.0%
Downtime
Illustrative shift model: one stitch is ten minutes; productive minutes are good stitches sewn × 10. Not an operating result, and nothing here is financial, legal or tax advice.