Research libraryUtilisation Decides
Chapter 08 of 14 · Part II · Draft web edition
A balance calculated for one style and crew decays as absence, learning, defects and order mix change the work.
The cloth is woven from this chapter's 5 exhibits: each weft is one exhibit's own data, normalised; each warp group is a section. The probe reads the exhibit's own value where it crosses. Procedural visualisation, not a measurement.
Read-out
Illustrative 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.
A garment assembly line does not keep the balance it was given on the first morning of a style run.[S0801] Even when an industrial engineer builds a feasible workstation allocation around operation precedence, machine types, attachments and operator skill ratings, the active constraint migrates across the floor as conditions shift from hour to hour.[S15][S17][S20] An unscheduled absence, a bundle of collar ribs with tension defects, a switch from lightweight jersey to heavier pique fabric, a transferred operator still climbing the six-week learning curve, or a brief feeder trip can turn yesterday's smoothly flowing station into today's bottleneck.[S18][S20][S35] Treating line balancing as a pre-production calculation performed once per order leaves the factory exposed to every disturbance that arrives after the first bundle enters the line.[S0801] Good throughput is protected only when balancing becomes a structured daily and hourly practice that reads workstation utilisation and upstream work-in-progress queues together, verifies that a proposed adjustment is physically and ergonomically safe, and locks the response into a formal management cadence.[S12][S20][S38]
In Cameroon's textile sector, where about 95 per cent of cotton fibre is exported raw and roughly 5 per cent is processed locally against a 50 per cent target by 2030, holding a sewing line near its feasible rhythm is a core condition of industrial viability.[R06][R07] Incumbent plant utilisation reported as of July 2023 ranged from 10.83 per cent at CICAM 2 to 33.7 per cent at Garoua and 48.9 per cent at CICAM 1, showing how severely idle and disrupted capacity erodes fixed-cost recovery.[R12] While macro underutilisation reflects market, power and working-capital pressures examined elsewhere in this series, floor-level capacity loss inside an active sewing room often stems from static line management: supervisors keep feeding bundles into a fixed station layout long after the constraint has moved.[S12][S20] This chapter sets out the operating mechanics of dynamic line control within Green Future Tech Limited's (GFT) Cameroon textile programme, showing how teams detect a shifting bottleneck early, execute bounded intra-shift corrections, and escalate structural limits without sacrificing quality or decent work.[S09][S12][S38]
8.1
Related · chapter 118 paragraphs step it
Read-out
Derived with illustrative inputs using the OEE loss structure in S04 and SMV accounting in S13: 500 scheduled shift garment equivalents less 50 availability loss and 70 speed loss leaves 380 gross pieces completed; 57 defective pieces (15 per cent first-pass defect share) reduce first-pass good output to 323 pieces, while inline re-sewing of 48 repairable pieces at 0.5 garment-equivalent cycle each displaces 24 additional new-garment equivalents of station capacity, leaving 299 net first-pass equivalents.
Unit: good-garment equivalents per shift. Status: derived. Sources: S04, S13.
Read this exhibit in its chapter ↗A sewing line is an interdependent network of human-machine workstations rather than a rigid mechanical transfer line.[S14][S15] Because sewing performance depends on operator dexterity, material handling and coordination, the time a garment component spends at a workstation fluctuates even when the operation bulletin stays constant.[S14][S15] Production-engineering reviews emphasise that line balancing is not an isolated static plan, but is tightly coupled with dynamic, real-time decisions on the floor.[S0801] An allocation that looks balanced on a pre-production spreadsheet becomes fragile as soon as floor disturbances interact with sequential precedence chains.[S15][S0801]
Time-serial bottleneck research in textile and apparel manufacturing identifies bottleneck workstations through two observable signatures: they are either the workstations with the highest sustained utilisation over the observation window, or those whose upstream buffer holds the largest work-in-progress inventory in the system.[S20] Neither signature is fixed to a permanent physical table.[S20] As upstream feeding, machine condition, operator pace and rework flows vary across a shift, both the peak utilisation ratio and the largest upstream queue migrate from one operation to another.[S20] When factory management treats "the bottleneck" as a permanent badge pinned to a single operation such as collar attachment, supervision looks in the wrong place whenever the true constraint moves elsewhere.[S20][S30]
Four recurring mechanisms push the active constraint from one workstation to another within a single production week.[S17][S18][S20] First, operator attendance and morning substitutions alter station capability immediately.[S17][S40] When a primary operator with a high task-specific skill rating is absent and replaced by a relief operator with lower proficiency on that seam, the effective cycle time at that workstation rises even though the garment's standard minute value (SMV) on the operation bulletin is unchanged.[S13][S17] Second, learning and forgetting curves shift relative station speeds over days and weeks.[S18][S0801] In empirical apparel research, manual-machine operators raised their average capacity from 60.6 per cent to 79.4 per cent over six weeks.[S18] Because individual operators on a line do not progress at identical weekly rates, a station manned by a fast-learning operator can shed its bottleneck status mid-month while an adjacent station manned by a newly transferred worker becomes the new pacing constraint.[S17][S18]
Third, material and quality disturbances create temporary capacity sinks.[S02][S04] If a cutting lot arrives with notch variance or a sewing station suffers frequent thread breakage and tension adjustments, minor stoppages and inline repairs consume operating minutes planned for first-pass output.[S02][S04][S09] Because OEE availability and performance losses reduce effective operating time at that station, net throughput drops below the line's pitch time and starves downstream workstations.[S04][S06][S16] Fourth, order mix and style details alter work content across machine groups.[S13][S15] Even within knitted polo shirts, switching from a plain hem to a split side-vent with bartack reinforcement adds standard minutes to late-stage operations while leaving collar preparation unchanged.[S13][S15]
Exhibit 35 illustrates how these four mechanisms cause the active constraint to migrate across six sequential workstation groups over five operating periods within an illustrative week.[S17][S18][S20]
In Exhibit 35, the illustrative polo-shirt line opens Monday morning (Mon AM) with its design constraint at Collar attach (score 5), where curved feeding produces the longest effective cycle time relative to pitch.[S16][S20] On Monday afternoon (Mon PM), an unplanned absence at Shoulder join requires a less experienced replacement; effective cycle time at Shoulder join rises above pitch, upstream bundles pile up before the overlock machine, and Collar attach is partially starved of joined bodies (moving the score of 5 to Shoulder join).[S06][S17][S20] By Tuesday morning (Tue AM), attendance recovers, but a fusible interlining defect causes rework at Placket set, moving the active queue and peak utilisation upstream to the first workstation group.[S04][S20] On Wednesday morning (Wed AM), a heavier pique lot with side vents increases work content at Side seam (score 5), before task sharing and operator reallocation on Thursday morning (Thu AM) bring all six groups back to controlled mid-range loads (scores of 2 to 3).[S15][S17][S20] Because this matrix is an illustrative model rather than plant telemetry, it does not predict how often a specific factory's bottleneck will move; it demonstrates why static labels fail whenever attendance, quality or style mix changes.[S20][S0801]
The Theory of Constraints directs improvement to the specific operation that currently limits system throughput.[S30] When a constraint moves from Station C to Station B at the start of a shift, but the line is still managed as though Station C were the sole pacing resource, two operational errors follow.[S20][S30] First, upstream Station A continues producing at full local speed, building an unscheduled work-in-progress pile before newly constrained Station B.[S20][S23] Second, engineers and mechanics focus on keeping Station C busy, overlooking that Station C's apparent idle intervals are actually equipment-independent starvation caused by the slowdown at Station B.[S06][S20]
In variable production systems, waiting time rises nonlinearly as capacity utilisation approaches saturation.[S23] When a workstation's effective utilisation spikes due to a lower-skilled replacement or recurring minor stops, the upstream queue expands rapidly.[S04][S17][S23] Conversely, lean analysis of one-piece flow notes that excess capacity at non-constraint stations is normal and beneficial because protective capacity absorbs natural cycle-time variation without letting queues cascade.[S28] Daily line reviews must therefore stop rewarding upstream operators for high local piece counts when those pieces merely swell a buffer in front of a shifted constraint.[S20][S28][S30]
8.4
On a garment floor, work in progress (WIP) is often viewed either as a comforting buffer against starvation or as clutter in narrow aisles.[S12][S21] Both views miss its diagnostic function.[S20] Before excess WIP becomes a working-capital burden, its physical location and growth rate act as the fastest leading indicator of a moving constraint.[S20] Because time-serial bottleneck analysis identifies a constraint by sustained high utilisation or by the largest upstream WIP buffer, watching where bundles accumulate tells a supervisor where effective station time has breached the line's pitch rhythm hours before end-of-shift efficiency reports are compiled.[S16][S20]
In strict single-piece flow, there is no WIP between adjacent operators, so a slowdown at one station immediately blocks the upstream operator and starves the downstream operator.[S21] In most garment factories, however, lines run progressive bundles or small transfer lots with bounded buffers between operations.[S12][S21] When a station's effective cycle time exceeds the governing pitch time, the buffer immediately upstream grows while the buffer immediately downstream drains.[S16][S20]
Reading both sides of the workstation together prevents false diagnosis.[S06][S20] If a supervisor looks only at low hourly output at Station 6, they may fault the Station 6 operator for low speed when Station 6 actually has zero upstream WIP and is starved by a bottleneck at Station 4.[S06][S20] Conversely, a large bundle pile before Station 4 is not always proof that Station 4 slowed down: if cutting or an upstream subassembly released an unscheduled surge of bundles at once, the queue at Station 4 may reflect undisciplined upstream push rather than a slower cycle at Station 4.[S20][S24]
Counting pieces in an upstream buffer is necessary but insufficient for accurate diagnosis.[S20][S22] Under Little's Law, average WIP equals average throughput rate multiplied by average throughput time, a relationship that strictly applies to long-term averages of stable systems that are not starting, stopping or surging.[S22] During an active shift disturbance, the line is outside equilibrium, so a supervisor cannot simply divide floor WIP by the hourly target to know how long each bundle has waited.[S22] Instead, supervision must record both queue position (which station the bundles sit before) and queue age (how long the oldest bundle in that buffer has waited).[S20][S22]
A growing queue of fresh bundles whose oldest unit arrived twenty minutes ago signals an active cycle-time bottleneck: the station is working, but its effective cycle time exceeds upstream arrivals.[S15][S20] By contrast, a small buffer holding two bundles untouched for three hours while newer bundles pass them signals a blocked lot: a missing trim, a shade-lot mismatch, a waiting print panel or an unresolved quality hold.[S04][S20] Treating a three-hour quality hold as a cycle-time bottleneck would lead a supervisor to add a sewing operator to an operation that cannot release the held bundles anyway.[S04][S12]
Field protocol for hourly WIP and constraint logging
To use WIP as a constraint signal without installing electronic sensors on every table, GFT's performance-management design specifies a four-field manual check during each hourly board walk.[S07][S12][S20]
8.7
1. Capture hourly output and WIP
1. Capture hourly output and WIP. From 6. Log and update standard work (Next hour). Leads to 2. Locate active constraint (Queue + utilisation). · illustrative
Detecting that the constraint has moved from collar attachment to shoulder joining produces no additional garments unless observation triggers a bounded correction within the shift.
2. Locate active constraint
2. Locate active constraint. From 1. Capture hourly output and WIP (Queue + utilisation). Leads to 3. Screen precedence and skill (Confirm cause). · illustrative
3. Screen precedence and skill
3. Screen precedence and skill. From 2. Locate active constraint (Confirm cause). Leads to 4. Reallocate task or operator (Feasible move). · illustrative
4. Reallocate task or operator
4. Reallocate task or operator. From 3. Screen precedence and skill (Feasible move). Leads to 5. Verify next-hour good output (First-piece check). · illustrative
5. Verify next-hour good output
5. Verify next-hour good output. From 4. Reallocate task or operator (First-piece check). Leads to 6. Log and update standard work (Gain holds). · illustrative
6. Log and update standard work
6. Log and update standard work. From 5. Verify next-hour good output (Gain holds). Leads to 1. Capture hourly output and WIP (Next hour). · illustrative
The method behind it: Worked example: Intra-shift rebalancing of a 5-zone polo-shirt subassembly.
Illustrative six-stage control loop integrating hourly output and queue capture (S12; S20), constraint verification, feasibility screening, task or operator reallocation (S09), good-output verification, and standard-work updating (S26).
Unit: decision sequence. Status: illustrative. Sources: S09, S12, S20, S26. Illustrative figures are teaching examples, not measured factory results.
8.7 · the bodyExhibit 36 above; its figures are illustrative where marked.
Detecting that the constraint has moved from collar attachment to shoulder joining produces no additional garments unless observation triggers a bounded correction within the shift.[S12][S30] The International Labour Organization's (ILO) Factory Improvement Toolset for the garment sector combines operation bulletins, SMV, line planning, hourly balancing and bottleneck management as one operating discipline.[S12] Across Asian garment factories applying that toolset, the ILO recorded a 9.49 per cent improvement in sewing-room line achievement alongside a 22 per cent reduction in both WIP and defects per hundred units.[S12] Similarly, under the ILO SCORE and SIRAYE programme in Ethiopia, Edget Garment raised line-balance efficiency from 24 per cent to 75 per cent and daily line output from 50 to 120 pieces through structured line balancing and workplace cooperation.[S37] These outcomes are context-specific programme results rather than automatic forecasts for Cameroon, but they confirm the operational mechanism: pairing SMV planning with hourly bottleneck management raises good output while shrinking floor queues.[S12][S37]
the ILO recorded a 9.49 per cent improvement in sewing-room line achievement alongside a…
S12
Exhibit 36 maps the closed six-stage decision sequence that stops ad-hoc tinkering from creating secondary bottlenecks or quality defects.[S09][S12][S20][S26]
As Exhibit 36 shows, an hourly rebalance is not finished at Stage 4 (Reallocate task or operator).[S09][S12] Floor interventions fail when a supervisor moves an operator at 10:00 and discovers at 14:00 that the reassigned operator sewed defective seams or starved the vacated station.[S04][S17] Stage 5 (Verify next-hour good output) mandates an immediate first-bundle quality check after the move and a queue check at the next hourly walk.[S04][S20] Stage 6 (Log and update standard work) records proven contingency allocations so future shifts can reuse them.[S26] While Exhibit 36 structures internal line adjustments, it cannot resolve external halts such as grid outages or plant-wide material shortages, which must escalate through management.[S06][S35]
Dynamic rebalancing must respect the same hard boundaries as initial line balancing.[S15][S16][S38] First, precedence constraints forbid assigning a downstream assembly step before its prerequisite seams are closed.[S15] Second, pitch-time limits require that every workstation's assigned operating time remain within the assembly line pitch time (Equation (8) in S16); shifting a 20-second element onto a neighbour whose total cycle time then exceeds pitch merely moves the bottleneck one station away.[S16][S20] Third, ergonomics and working-time limits protect operator health and sustainable output.[S38][S41] Ergonomic research in Ethiopian garment factories shows that poor workstation posture and setup create long-term health risks for sewing operators.[S38] Any shared-task or standing-to-sitting adjustment must verify reach, table height and recovery, and supervisors must not use chronic overtime to mask a mid-shift bottleneck, as Better Work evidence shows extended hours do not yield proportionate output gains and can reduce long-run output.[S38][S41]
Exhibit 37 reconciles the shift output bridge from this worked example, comparing static shift losses with the volume recovered after Hour 2.[S12][S16][S17][S20]
comparing static shift losses with the volume recovered after Hour 2
S12, S16, S17, S20
As Exhibit 37 shows, the 24-piece shortfall from Hours 1 and 2 is mostly sunk because Zone 3 (57.0 seconds against a 60.0-second pitch) has minimal sprint margin, but acting at Hour 2 prevents the 66-piece loss across Hours 3 to 8 and recovers 72 good garments in total in this illustrative case.[S12][S16][S20] The bridge also shows its own limit: hourly balancing cannot recover constraint minutes lost before detection, making detection latency an economic variable.[S09][S12]
the 24-piece shortfall from Hours 1 and 2 is mostly sunk because Zone 3…
S12, S16, S20 · illustrative
Interlude · the cloth half-woven
Woven: sections 8.0 to 8.7Still to weave: 8.10 to 8.16
Read-out
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 ↗8.10
Because constraint minutes lost before detection can rarely be recovered within statutory hours, shortening the delay between a bottleneck shift and supervisor action has direct operational value.[S09][S30][S33] In apparel OEE research, Company X improved its OEE from 42.91 per cent to 52.27 per cent by pairing process monitoring devices (PMDs) with digital line balancing.[S09] That 9.36 percentage-point gain in one case study is not a guaranteed benchmark for every plant, but it demonstrates the mechanism: real-time monitoring pays only when wired directly into task reallocation and fault response.[S09][S0801]
…X improved its OEE from 42.91 per cent to 52.27 per cent by pairing…
S09
Digitalisation projects often mount displays in a manager's office while leaving the supervisor's floor routine unchanged.[S03][S09] Detached dashboards fail in three ways.[S03][S07][S09] First, a low station OEE figure does not separate mechanical breakdown, needle or thread faults, absence, and upstream starvation.[S02][S06][S09] Because equipment effectiveness metrics can include equipment-independent starvation from missing inputs, raw machine counters can blame a starved downstream operator for an upstream bottleneck.[S06][S20] Second, manual and semi-automatic logs carry speed and stoppage-duration uncertainty whenever operators must tap screens during busy runs.[S07] Third, learning at 17:30 that Station 14 slowed down at 09:15 turns telemetry into a post-mortem rather than a control loop.[S09][S12]
GFT sequences monitoring across three progressive stages.[S07][S09][S12] Stage 1 (Manual hourly board and bundle tickets) records checkpoint good output, upstream queue counts, oldest-bundle age, defects and coded downtime on a physical board at the line head, requiring zero software and working through grid outages.[S04][S12][S35] Stage 2 (Checkpoint barcode or RFID scans) automates time-serial queue counting and waiting-time alerts across the 6 to 10 line checkpoints.[S20] Stage 3 (Machine PMDs and power-monitoring sensors) uses non-intrusive electrical power sensing and PMDs to capture cycle times and micro-stops automatically; research on sewing power monitoring shows that power signatures can help evaluate task difficulty (LD) and operator skill (LS) for staffing and balancing.[S09][S19] Even at Stage 3, digital alerts must feed a supervisor's floor check rather than trigger blind algorithmic moves that ignore ergonomics or material defects.[S19][S38][S0801]
8.13
S1
S1: Jersey + Experienced Crew 48, Jersey + Ramp & Absence 54, Pique + Experienced Crew 55, Pique + Rebalanced Crew 56 (seconds per piece) · illustrative
Balancing solely from garment SMVs assumes every assigned operator achieves 100 per cent standard speed all day.
S2
S2: Jersey + Experienced Crew 46, Jersey + Ramp & Absence 72, Pique + Experienced Crew 48, Pique + Rebalanced Crew 52 (seconds per piece) · illustrative
S3
S3: Jersey + Experienced Crew 56, Jersey + Ramp & Absence 64, Pique + Experienced Crew 58, Pique + Rebalanced Crew 57 (seconds per piece) · illustrative
S4
S4: Jersey + Experienced Crew 50, Jersey + Ramp & Absence 58, Pique + Experienced Crew 52, Pique + Rebalanced Crew 55 (seconds per piece) · illustrative
S5
S5: Jersey + Experienced Crew 51, Jersey + Ramp & Absence 53, Pique + Experienced Crew 68, Pique + Rebalanced Crew 58 (seconds per piece) · illustrative
The method behind it: Warning.
Illustrative station-load comparison across five workstation groups (S1 Placket, S2 Shoulder, S3 Collar, S4 Sleeve, S5 Hem) under a 60-second pitch ceiling (S16). Panels compare two style mixes (Basic Jersey vs Vented Pique) and two crew states (Experienced Crew vs Ramp Crew with one absence replacement), using task-skill and learning logic from S15, S17 and S18. Values are illustrative engineering scenarios, not measured GFT plant outputs.
Unit: seconds per piece. Status: illustrative. Sources: S15, S16, S17, S18. Illustrative figures are teaching examples, not measured factory results.
8.13 · the bodyExhibit 38 above; its figures are illustrative where marked.
Balancing solely from garment SMVs assumes every assigned operator achieves 100 per cent standard speed all day.[S13][S17] In reality, garment assembly is labour-intensive and line output depends on employee capability alongside machine availability.[S14][S0802] While target output is set by the garment's standard allowable minutes and available line minutes, actual station cycle times shift with who sits at the machine today and where they stand on the learning curve.[S13][S18][S0802]
Three workforce dynamics reshape station times.[S17][S18][S39] First, task-specific skill ratings vary across operations: garment balancing research rates workers from 0 (no skill) to 1.5 (fully skilled) by task, so moving an operator from a 1.25-rated seam to a 0.75-rated seam alters station capacity immediately.[S17] Second, learning curves shift relative speeds during ramps: manual-machine operators in an apparel study increased average capacity from 60.6 per cent to 79.4 per cent over six weeks, meaning a Week 1 balance becomes obsolete by Week 6.[S18] Third, turnover and absenteeism repeatedly reset proficiency: in an Ethiopian manufacturing panel weighted toward textiles and garments, almost one-third of workers left within six months and half within one year.[S39] While not a Cameroon forecast, this shows why retention and supervision matter; Better Work Ethiopia reports that lines led by newly trained supervisors achieved lower absenteeism alongside higher productivity and quality.[S40]
Exhibit 38 compares illustrative effective station cycle times across four style and crew combinations against a 60-second pitch limit.[S15][S16][S17][S18]
…and crew combinations against a 60-second pitch limit
S15, S16, S17, S18 · illustrative
In Exhibit 38, Panel 1 (Jersey + Experienced Crew) keeps all five stations (S1 to S5) between 46 and 56 illustrative seconds, below the 60-second pitch ceiling.[S15][S16] Panel 2 (Jersey + Ramp & Absence) shows the same style with a ramp crew and an absence replacement at S2, pushing S2 to 72 seconds and S3 to 64 seconds.[S16][S17][S18] Panel 3 (Pique + Experienced Crew) switches to a vented pique style whose side-vent and bartack work pushes S5 to 68 seconds, while Panel 4 (Pique + Rebalanced Crew) restores all five stations to 52 to 58 seconds via task sharing and floater support.[S15][S16][S17] These illustrative panels show the mechanism linking style SMV (S13) and skill (S17; S18), not a plant forecast.[S15]
Dynamic balancing starts in the first ten minutes of the shift.[S12][S40] During roll call, the supervisor checks attendance against critical-path stations (those loaded above an illustrative 85 per cent of pitch time).[S16][S17] If a critical station is vacant, the supervisor executes a domino substitution: moving a present operator with a verified skill rating (S17) onto the critical station to keep it below pitch, and placing the reserve or ramp operator on the vacated lower-load non-constraint station where protective capacity (S28) absorbs their slower pace.[S16][S17][S28] Using task difficulty (LD) and skill (LS) assessments (S19), GFT specifies at least two qualified backups on the shift roster for every critical-path operation (an illustrative 3-deep coverage rule) and trains floaters on adjacent operation pairs.[S17][S19][S26]
8.16
Read-out
| Hourly line check | Line supervisor and IE tech | Checkpoint good output, upstream WIP buffer and queue age (S12; S20) | Deploy floater, split manual element, call mechanic or throttle release (S09; S15) | Constraint persists for 2 consecutive hours or breaches quality hold |
|---|---|---|---|---|
| Daily shift huddle | Line supervisor and quality/maint leads | Attendance roster vs skill matrix, previous shift OEE loss tree and FPY (S04; S17) | Domino substitution for absences, pre-stage attachments and set shift pitch (S16; S17) | Critical operation lacks qualified backup or machine down over 60 minutes |
| Weekly root-cause review | Industrial engineering and plant manager | Recurring bottleneck shifts, 5 Whys logs, learning curves and rework pareto (S09; S18; S29) | Update standard work, revise SMV skill ratings, retrain or redesign folders (S17; S26) | Style family or machine count cannot meet takt within 40-hour week (S33) |
| Monthly S&OP capacity review | Operating director, planning and commercial | Plant utilisation, order peaks, turnover, outage losses and lead times (S35; S39; S42) | Smooth order release with buyers, adjust machine fleet or hiring pipeline (S39; S42) | Capital expenditure or buyer contract revision required |
Illustrative management cadence applying GFT's Cameroon textile programme structure alongside hourly balancing (S12), bottleneck diagnostics (S20), digital monitoring support (S09), standard work (S26), and advance order planning (S42).
Unit: governance horizon. Status: illustrative. Sources: S09, S12, S20, S26, S42. Illustrative figures are teaching examples, not measured factory results.
In Exhibit 39, the hourly line check (an illustrative 3-to-5-minute walk) and daily shift huddle (an illustrative 10-minute stand-up) protect today's flow by matching attendance to the skill matrix (S17), staging attachments (S02), and executing bounded intra-shift moves when upstream WIP and utilisation (S20) flag a shifted constraint.[S02][S12][S17][S20] If the same station requires emergency floater support repeatedly across a week, the weekly root-cause review applies 5 Whys analysis (S29) to eliminate the underlying cause: updating standard work (S26), recalibrating skill ratings (S17; S18), fixing worn folders (S02), or correcting piece-rate incentives that encourage upstream overproduction of defective bundles (S32; S0802).[S17][S26][S29][S32]
When a constraint stems from volatile style mixes, special-machine shortages (S15), grid outages (S35; S36), or attrition (S39) that cannot be balanced away within Cameroon's statutory 40-hour week (S33; R16), the monthly sales-and-operations planning (S&OP) review escalates the evidence to commercial and executive leadership.[S15][S33][S35][S39] ILO supply-chain cases document companies that plan orders, lead times and production peaks in advance with suppliers; monthly S&OP gives the plant the measured throughput and skill-coverage data required to level order release before impossible peaks hit the floor.[S42]
Within GFT's toolset, the line-balancing studio (line-balancing), OEE and sewing-line simulator (oee-line), ramp planner (ramp-planner) and supervisor pipeline (supervisor-pipeline) operationalise these cadences while connecting to wp02 on the KPI cascade and wp18 on edge monitoring.[S09][S17][S18][S40] Yet even the best daily balance breaks down if faster upstream stations are allowed to flood the line with inventory.[S21][S24] Part III therefore turns to material flow: Chapter 9 shows how pull authorisation, small transfer lots and Little's Law keep work moving to the constraint without mistaking local busyness for finished garments.[S21][S22][S24][S28]
Check the record
Every knot is a source this chapter cites; select one to read its record, or filter the register by grade. Publication dates and inherited-source limits stay explicit. Read the paper's full evidence summary.
38 sources · 368 citation marks on this pageMost cited: S20, 52 times
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R06 · Grade C · inherited record
Inherited evidence R06
About 95 percent of cotton fibre exported raw against 5 percent processed locally; industrialisation target of 50 percent local processing.
Publication date unrecorded. Inherited source-text record. The original publication has not been independently reopened for this web edition.
R07 · Grade C · inherited record
Inherited evidence R07
SND30 restates the 50 percent local-processing target by 2030.
Publication date unrecorded. Inherited source-text record. The original publication has not been independently reopened for this web edition.
R12 · Grade C · inherited record
Inherited evidence R12
CICAM capacity utilisation, July 2023 report: Garoua 33.7 percent, CICAM 1 48.9 percent, CICAM 2 10.83 percent; underutilisation cost about CFAF 2 billion in 2020.
Publication date unrecorded. Inherited source-text record. The original publication has not been independently reopened for this web edition.
c08-S01 · Grade A
ISO 22400-2:2014: Automation systems and integration: Key performance indicators for manufacturing operations management, Part 2
The KPIs are presented by means of their formula and corresponding elements, their time behaviour, their unit/dimension and other characteristics.
2014. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c08-S02 · Grade A
The Costs and Benefits of Advanced Maintenance in Manufacturing
Total productive maintenance (TPM) is a program that aims for zero breakdowns and zero defects and focuses on eliminating six losses: equipment breakdown, setup and adjustment slowdowns, idling and short-term stoppages, reduced capacity, quality-related losses, and startup/restart losses.
2018. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c08-S03 · Grade A
Summary Report: Meeting of the ASME Standards Subcommittee on Advanced Monitoring, Diagnostics, and Prognostics for Manufacturing Operations Hosted at NIST
Guidance should include a generally-accepted definition of Overall Equipment Effectiveness (OEE); there are currently multiple definitions, interpretations, and calculations for OEE.
2020. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c08-S04 · Grade B
Overall Equipment Effectiveness: Systematic Literature Review and Overview of Different Approaches
Availability measures downtime losses due to breakdowns or setup/adjustments; performance measures speed losses due to minor stoppages and reduced speed; and quality measures defect losses due to process defects or reduced yield [9].
2020-09-17. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c08-S06 · Grade B
Equipment Effectiveness: OEE Revisited
OEE does include equipment-independent conditions, such as lack of input items.
2005-02-28. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c08-S07 · Grade B
Overall equipment effectiveness when production speeds and stoppage durations are uncertain
In practice, components of OEE may consist of uncertainty due to manual or semi-automatic measurement systems.
2017-10-12. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c08-S09 · Grade B
Achieving Sustainable Overall Equipment Effectiveness (OEE) in Apparel Industry With Lean and Digital Integration
Company X improved its OEE from 42.91% to 52.27% using PMDs and digital line balancing.
2025-07-26. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c08-S12 · Grade A
Implementation of the Factory Improvement Toolset in the Asian garment sector: Final report
Sewing-room line achievements improved by 9.49 per cent and the work in progress and defect per hundred units of garments both reduced by 22 per cent.
2023. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c08-S13 · Grade A
Creating Better Jobs for Women and Boosting Productivity in Bangladesh's Garment Factories: An assessment of the Gender Equality and Returns Program
The SMV for the garment is the sum of the SMVs for each of the steps required to produce the garment.
2025. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c08-S14 · Grade C
How to Calculate OEE in the Garment Manufacturing Industry?
The sewing floor is labor intensive and overall production performance depends on the employees' performance instead of machine and equipment performance.
2024-11-14. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c08-S15 · Grade B
Improvement of garment assembly line efficiency using line balancing technique
The cycle time is an amount of time for which a job remains in a workstation.
2020-04-03. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c08-S16 · Grade B
Carbon Emission Evaluation Based on Multi-Objective Balance of Sewing Assembly Line in Apparel Industry
Equation (8) guarantees that the operating time of each process in any workstation should not exceed the assembly line pitch time.
2019-07-19. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c08-S17 · Grade B
Applying Meta-Heuristics Algorithm to Solve Assembly Line Balancing Problem with Labor Skill Level in Garment Industry
The workers' performances for each task are rated from 0 (no skill at all) to 1.5 (fully skilled) according to the workers' skill table provided by Chan et al. [2].
2021-04-26. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c08-S18 · Grade B
Evaluation of Manual Skill Degradation Due to Automation in Apparel Manufacturing
The average capacity percent of the MMG increased from 60.6% to 79.4%, increasing learning by almost twenty percent in six weeks.
2021-11-23. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c08-S19 · Grade B
Remote Sensing of Sewing Work Levels Using a Power Monitoring System
The LD and LS are the first to be considered when designing garment production lines and determining staffing requirements.
2020-04-29. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c08-S20 · Grade B
Knowledge Graph-Embedded Time-Serial-Data-Driven Bottleneck Analysis of Textile and Apparel Production Processes
Bottleneck workstations BNk are those with the highest long-term utilization or those whose work-in-process inventory in the upstream buffer is the largest of all buffers in the system.
2023-11-02. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c08-S21 · Grade B
Apparel manufacturing systems
Single-piece flow means there is no WIP between any two operators in the sewing line.
2021. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c08-S22 · Grade B
LAI Lean Academy Glossary
Little’s law strictly applies to long term averages of stable systems, i.e. ones which are not starting, stopping or surging.
2012. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c08-S23 · Grade B
Class 3: Capacity Lecture
The relationship between waiting time and capacity utilization is strongly non-linear!
2004. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c08-S24 · Grade B
Pull Production
Nothing is produced by the upstream supplier process until the downstream customer process signals a need.
2020-07-02. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c08-S26 · Grade B
Standardized Work
The benefits of standardized work include documentation of the current process for all shifts, reductions in variability, easier training of new operators, reductions in injuries and strain, and a baseline for improvement activities.
2020-07-02. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c08-S28 · Grade B
Ask Art: How One-Piece-Flow Supports Quality
Having excess capacity is in fact normal and actually a good thing.
2016-01-13. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c08-S29 · Grade B
5 Whys - What is it?
5 Whys is the practice of asking why repeatedly whenever a problem is encountered in order to get beyond the obvious symptoms to discover the root cause.
2020-07-02. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c08-S30 · Grade B
What is the Theory of Constraints, and How Does it Compare to Lean Thinking?
TOC advocates beginning with the constraint that most limits Throughput.
2006-09-08. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c08-S32 · Grade B
International Differences in Lean Production, Productivity and Employee Attitudes
This practice led to long lead times and low quality, both because of the incentive to work as fast as possible and because the large batches meant that many bad products could be made before they were caught by inspectors.
2007. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c08-S33 · Grade A
Cameroon Labour Code, Law No. 92/007 of 14 August 1992
Statutory hours of work in all public and private non-agricultural establishments may not exceed forty hours per week.
1992-08-14. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c08-S35 · Grade A
Creating Markets in Cameroon: Unleashing private sector growth
Access to electricity: energy supply is limited and unreliable.
2022. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c08-S37 · Grade A
Advancing productivity, quality improvement and decent work in Ethiopia's garment industry: results so far
As a result, Edget Garment improved its line balance efficiency from 24 per cent to 75 per cent and increased its daily line production from 50 to 120 pieces.
2022-06-01. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c08-S38 · Grade B
Workplace ergonomics: a comparative analysis of sitting and standing workstations in Ethiopian garment manufacturing industries
Sewing operator safety is vital in Ethiopia's clothing industry, but poor ergonomics cause long-term health risks.
2025-08-07. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c08-S39 · Grade B
Labour turnover and workers' well-being in the Ethiopian manufacturing industry
Turnover in this study is lower than previous reports from the manufacturing industry in Ethiopia; almost one-third left before the first six months and half left within the first year.
2021. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c08-S40 · Grade A
Better Work Ethiopia Annual Report 2023: Data from 2022
Factories also reported improved productivity, quality, and workplace organization, and a reduction of absenteeism in the lines led by the newly trained supervisors.
2023. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c08-S41 · Grade A
Excessive Overtime, Workers and Productivity: Evidence and Implications for Better Work
However, in reality it has been proved that the extension of 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 (White, 1987).
2011. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c08-S42 · Grade A
Purchasing practices and low wages in global supply chains: Empirical cases from the garment industry
Some of the companies are planning their orders, lead times and production peaks in advance with their suppliers.
2017. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c08-S0801 · Grade B
A Review of the Expansion and Integration of Production Line Balancing Problems: From Core Issues to System Integration
Production line balancing is not an isolated static plan but is closely coupled with other dynamic, real-time decisions at the same level.
2025-10-14. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c08-S0802 · Grade B
Factory benefits to paying workers more: The critical role of compensation systems in apparel manufacturing
Target output is determined by the "standard allowable minutes" (SAM) of a given garment and the available working minutes of the production line.
2020-02-05. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗S0801 MDPI, Sensors (via PubMed Central). 2025-10-14.
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S14 Online Clothing Study. 2024-11-14.
S30 Lean Enterprise Institute. 2006-09-08.
S40 Better Work, International Labour Organization and International Finance Corporation. 2023.
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Keep the thread · chapter 08 of 14
Move the shuttle along the rack to preview any chapter: its sections, exhibits and reading time. Draft web edition. This research is not investment, legal or tax advice; illustrative models are not measured factory results.
The paper's rack · 14 boltsBolt length: reading time
01Part I: Measure the factory that actually exists
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.
02Part I: Measure the factory that actually exists
A single OEE score can start a conversation, but only its components and loss codes can tell a supervisor what to fix.
03Part I: Measure the factory that actually exists
A factory cannot interpret downtime until it has separated legal hours, planned production, external interruptions and losses inside the line.
04Part I: Measure the factory that actually exists
SMV translates garment work content into earned minutes, but it must sit beside OEE and quality rather than replace them.
05Part II: Balance work to the constraint
Balancing begins with operation precedence and required output, then tests how work can be shared without violating machine, skill or quality constraints.
06Part II: Balance work to the constraint
A workstation assignment is feasible only when the operator can perform the method safely and repeatedly at the assumed cycle and quality.
07Part II: Balance work to the constraint
A balance that ignores machine availability, skill or precedence can look efficient on screen and fail on the floor.
08Part II: Balance work to the constraint
A balance calculated for one style and crew decays as absence, learning, defects and order mix change the work.
09Part III: Design flow instead of local busyness
Balanced work needs controlled release. A line shortens delivery time when it admits work that downstream operations can use, makes queues visible and protects good output at its constraint.
10Part III: Design flow instead of local busyness
Small batches become practical when style changes are short, methods are standard and the layout lets qualified operators share work around the constraint.
11Part III: Design flow instead of local busyness
Defects consume capacity twice, first through lost good output and then through rework, queues and repeated interruption.
12Part IV: Turn measurement into sustained performance
A technically balanced line still fails when learned operators are absent, hours are unsustainable or electricity interrupts production.
13Part IV: Turn measurement into sustained performance
The financial benefit is not a higher dashboard score; it is more good garments at acceptable labour, energy, capital and working-capital cost.
14Part IV: Turn measurement into sustained performance
Release the next commitment only when a measured trial shows that good throughput, safe work and controlled flow survive ordinary operating conditions.