Research libraryUtilisation Decides
Chapter 05 of 14 · Part II · Draft web edition
Balancing begins with operation precedence and required output, then tests how work can be shared without violating machine, skill or quality constraints.
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 system architecture showing how GFT's line-balancing workflow transforms garment specifications into workstation allocations using operation SMV summation (S13), cycle and precedence constraints (S15) and pitch-time limits (S16).
Unit: . Status: illustrative. Sources: S13, S15, S16. Illustrative figures are teaching examples, not measured factory results.
A sewing line produces finished garments at the rate of its most restrictive operation, not at the sum or average speed of its individual workstations.[S15] When management treats a garment line as a row of independent machines and pushes every operator to maximise local piece output, upstream stations outrun the constraint, work in progress accumulates between tables, waiting time expands and defect discovery slows.[S20] Balancing a sewing line begins with the system boundary established in Part I: the total standard minute value of the style built from its operation bulletin, customer demand expressed in good garments, and the planned production time remaining after lawful scheduling and declared availability exclusions.[S13] From those inputs, industrial engineering translates required good output into a governing rhythm, assigns operations across workstations without violating sequence, machine or skill constraints, and subordinates non-constraint stations to the pace that the constraint can sustain.[S30]
In Cameroon, where about 95 per cent of cotton fibre is exported raw and about 5 per cent is processed locally against a national target of 50 per cent local processing by 2030, converting installed sewing machines into predictable daily shipments determines whether domestic garment manufacturing can compete.[R06][R07] Reported capacity utilisation at incumbent textile plants in 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, with underutilisation costing about CFAF 2 billion in 2020.[R12] A sewing room cannot recover lost capacity by purchasing more lockstitch or overlock heads if its lines remain unbalanced.[S15] Evidence from the International Labour Organization's SCORE and SIRAYE programme in Ethiopia illustrates the mechanism: at Edget Garment, improving line-balance efficiency from 24 per cent to 75 per cent raised daily output from 50 pieces to 120 pieces on the studied line.[S37] That case is not a forecast for Cameroon, where product mix, skill and power continuity differ, but it proves that aligning workstation assignments to precedence and rhythm releases capacity already on the floor.[S37]
This chapter defines the engineering structure that turns product work content and customer demand into a feasible line balance. It shows why the operation bulletin is the balancing unit, how takt time must be adjusted for first-pass quality, why pitch time and workstation cycle time require separate definitions, how precedence restricts task combinations, how bottleneck stations are identified from utilisation and upstream queues, and why buyer order release belongs in the capacity conversation.[S13][S16][S20][S42] Skill matrices follow in Chapter 6, resource-constrained heuristics in Chapter 7, and daily rebalancing routines in Chapter 8.[S15]
5.1
No sewing line can be balanced from an aggregate garment standard minute value alone. As Better Work's assessment of Bangladesh garment factories states, the standard minute value for a garment is the sum of the standard minute values for each of the steps required to produce it.[S13] The document recording those constituent steps, their sequence, their required equipment and their time standards is the operation bulletin. In the International Labour Organization's Factory Improvement Toolset for the garment sector, verifying an accurate operation bulletin precedes line planning, hourly balancing and bottleneck management.[S12] Without a verified bulletin, dividing headcount into target output ignores where the work resides.
An operation bulletin serves as an engineering specification rather than an accounting summary because sewing operations are not interchangeable blocks of time. A woven shirt or cotton trouser comprises dozens of discrete operations across preparation, subassembly and main assembly, each governed by fabric handling rules, seam geometry and machine kinematics.[S15] Moving a pocket-setting task to a five-thread overlock station is impossible without changing equipment and folders. Combining a collar-fusing step with final topstitching violates the physical assembly order. Consequently, the balancing unit is the individual operation entry in the bulletin, together with the technical attributes that constrain where and by whom that operation can run.[S13][S15]
Maintained in a structured table, the operation bulletin becomes the translation layer between garment design and floor control, as shown in Exhibit 20.[S13][S15][S16]
Exhibit 20 shows why skipping any layer in this hierarchy destabilises the line. Moving directly from order quantity to workstation assignment without decomposing the style into its operation bulletin hides when two operations require the same scarce machine or when a subassembly takes longer than the main body stream it feeds.[S15] Conversely, an operation bulletin that lists operation SMVs without tying them to the shift's planned time base and good-output demand cannot tell a supervisor whether a workstation running at 0.85 minutes per piece is ahead of schedule or starving the line.[S13][S16] What Exhibit 20 cannot establish on its own is whether the standard minute values in the bulletin match the times achieved by the crew on a specific shift; validating those times requires floor observation and the skill adjustments covered in Chapter 6.[S26]
…whether a workstation running at 0.85 minutes per piece is ahead of schedule or…
S13, S16
A garment operation bulletin is rarely a single serial chain from first stitch to final press. In woven shirts, trousers and jackets, cut panels are bundled into distinct component streams: collars, cuffs, plackets, pockets, fronts, backs and sleeves are prepared in subassembly sections before converging at main assembly.[S15]
A subassembly section can be decoupled from the main line by a small buffer of finished components, provided every component in that buffer has passed inspection and matches the size and shade bundle entering the main line.[S04][S21] Main assembly operations act on the joined garment body; once fronts, backs and sleeves close, any delay or defect at one station blocks upstream work or starves downstream stations up to pressing and packing.[S06][S20] Recording the component group and merge point inside the bulletin allows the engineer to pace subassembly preparation to the consumption rhythm of the merge station rather than overproducing collars and pockets while the main line waits.[S15]
5.4
Planned time: 480 min
Planned time: 480 min. Starting point. Leads to Good takt: 1.00 min/pc (numerator). · derived
Once the operation bulletin defines the work content of one garment, the second input is the rate at which the line must deliver completed garments.
Good demand: 480 pcs
Good demand: 480 pcs. Starting point. Leads to Good takt: 1.00 min/pc (denominator). · derived
Good takt: 1.00 min/pc
Good takt: 1.00 min/pc. From Planned time: 480 min (numerator), Good demand: 480 pcs (denominator). Leads to Required starts: 506 pcs (apply yield). · derived
First-pass yield: 95%
First-pass yield: 95%. Starting point. Leads to Required starts: 506 pcs (480 / 0.95). · derived
Required starts: 506 pcs
Required starts: 506 pcs. From Good takt: 1.00 min/pc (apply yield), First-pass yield: 95% (480 / 0.95). Leads to Gross rhythm: 0.95 min/pc (480 min / 506 pcs). · derived
Gross rhythm: 0.95 min/pc
Gross rhythm: 0.95 min/pc. From Required starts: 506 pcs (480 min / 506 pcs). End point. · derived
The method behind it: Worked example: Aligning takt, quality allowance and workstation count.
Derived with illustrative inputs: 480 planned production minutes divided by 480 required good pieces gives a good-output takt of 1.00 minute per piece (S0501). With an illustrative 5 per cent quality loss (95 per cent first-pass yield, S04), gross starts required = 480 / 0.95 = 505.26, rounded up to 506 pieces, implying an effective gross release interval of 480 / 506 = 0.949 minutes per piece against workstation cycle time (S15).
Unit: minutes and pieces per shift. Status: derived. Sources: S04, S15, S0501.
5.4 · the bodyExhibit 21 above; its figures are illustrative where marked.
Once the operation bulletin defines the work content of one garment, the second input is the rate at which the line must deliver completed garments. Lean manufacturing formalises this rate through takt time: available production time divided by customer demand.[S0501] Its purpose is to match production rhythm to demand so the line neither falls behind delivery commitments nor builds unrequested inventory.[S0501] While cycle time is the time a job remains in a workstation, takt time is a design ratio calculated from time and demand boundaries.[S15][S0501]
A naive takt calculation fails on the floor when planners use the wrong numerator or denominator. Using total attendance rather than planned production time inflates the numerator by ignoring scheduled huddles, maintenance windows or known interruptions.[S01] Using gross starts rather than required good output in the denominator ignores that defective garments do not satisfy customer orders.[S04] When OEE measurement and line balancing use different time bases or quality assumptions, a line can look balanced on paper while missing its daily shipment target.[S01][S04]
GFT enforces one rule across its planning models: the takt numerator must equal the planned production time declared in the OEE protocol, and the denominator must equal required good output at the line exit.[S01][S04][S0501] Under ISO 22400-2, manufacturing indicators must state their formula, elements, time behaviour and unit explicitly.[S01] If an eight-hour shift (480 minutes) includes 30 minutes of planned non-production time for daily huddles and scheduled checks, available production time for takt is 450 minutes, not 480 minutes.[S01][S0501]
Similarly, OEE defines quality through defect losses and reduced yield.[S04] When a line experiences a defect loss across its shift, bundles started at the first operation must exceed first-pass good garments required at packing, or rework must return repaired pieces within the shift without consuming constraint capacity.[S04] Because end-of-shift rework destabilises flow, the release rate must account for observed first-pass yield while quality-at-source improvements eliminate the defects.[S04][S12]
Exhibit 21 shows how planned time, good demand and first-pass quality interact in an illustrative shift calculation.[S04][S15][S0501]
In Exhibit 21, 480 planned minutes and 480 required good garments give a nominal takt of 1.00 minute per good piece.[S0501] At a 95 per cent first-pass yield (an illustrative 5 per cent quality loss), starting 480 pieces yields only 456 first-pass good pieces.[S04] Delivering 480 first-pass good pieces without same-shift repair requires 480 / 0.95 = 505.26 (506 started pieces), tightening the gross rhythm to 480 / 506 = 0.949 minutes per piece.[S04][S0501] Exhibit 21 is an illustrative derivation, not a GFT baseline, showing that quality losses compress the time budget at every station.[S04][S15]
480 planned minutes and 480 required good garments give a nominal takt of 1.00…
S0501
First, balance loss arises because discrete operations with precedence and machine boundaries cannot be sliced into equal fractions of the cycle; if the constraint carries 0.90 minutes and a neighbour carries 0.72 minutes, the 0.18-minute gap is structural balance loss.[S15][S0502] Second, availability loss comes from thread, needle, machine or power stops.[S04][S06] Third, performance loss comes from skill gaps or micro-stops.[S04] Fourth, quality loss comes from sewing defective seams.[S04] Anchoring takt to planned time and good demand separates structural balance loss on the operator balance chart from recoverable OEE loss.[S04][S0502]
Interlude · the cloth half-woven
Woven: sections 5.0 to 5.4Still to weave: 5.7 to 5.15
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 ↗5.7
In the garment balancing study by Jung et al., cycle time is the amount of time a job remains in a workstation, and the maximum workstation time (max_k T_k) sets the bottleneck cycle.[S15] On an operator balance chart (Yamazumi board), vertical bars compare each operator's workload with takt time, aiming to make each workload nearly equal to, but slightly less than, takt time.[S0502]
In published work, pitch time has two distinct meanings.[S16][S0503] First, in lean logistics, the Lean Enterprise Institute defines pitch as the time to make one container of products (takt time x pack-out quantity), while noting that pitch is also used for the time span of a person's job.[S0503] Second, in mathematical sewing-line models such as the Energies multi-objective formulation, "assembly line pitch time" is the upper bound on workstation operating time: Equation (8) guarantees that the operating time of each process in any workstation does not exceed assembly-line pitch time.[S16]
Separating P_line (per-piece station ceiling) from P_batch (bundle release interval) prevents a common floor blind spot.[S16][S0503] If a supervisor tracks only 20-piece or 30-piece bundle completions (P_batch), an operator running at 1.08 minutes per piece against a 0.95-minute P_line ceiling is not flagged until a whole bundle is late and the downstream station has starved.[S06][S16][S20] Workstation balancing must constrain per-piece time at every station (C_k <= P_line < T_takt).[S16][S21][S0502]
5.8
Without sequence or machine constraints, line balancing would be simple bin packing up to P_line.[S16][S0502] Real garment assembly has a physical precedence graph dictating which seams must finish before another begins, alongside machine requirements determining which tasks can share a workstation.[S15][S16]
Jung et al. show that balancing methods must respect precedence, cycle and workstation limits, and that imposing resource constraints materially alters feasible station counts and efficiency compared with unconstrained math.[S15] Likewise, the Energies model pairs its pitch-time ceiling with process-assignment constraints to preserve assembly sequence.[S16]
i -> j means operation i must finish before j starts.[S15] Grouping i and k at one station while placing j (i -> j -> k) at another forces work to travel back and forth, multiplying handling and WIP.[S15][S21]i -> j) can share a single-machine station only if they use the same machine class, needle gauge, thread and folder.[S15] Combining a 0.35-minute five-thread overlock join with a 0.45-minute lockstitch topstitch requires a multi-machine cell and cross-trained skill, examined in Chapters 6, 7 and 10.[S15]Exhibit 22 shows how precedence and machine boundaries shape an operator balance chart across eight illustrative workstation groups under a 0.95-minute pitch ceiling.[S15][S16][S0502]
…illustrative workstation groups under a 0.95-minute pitch ceiling
S15, S16, S0502 · illustrative
Read-out
Illustrative operator balance chart (Yamazumi comparison, S0502) across eight sequential workstation groups against a 0.95-minute pitch limit (S16). Station cycle time definitions follow S15. Values are illustrative engineering examples showing why machine and precedence boundaries prevent uniform 0.95-minute loading, leaving Station 5 (0.94 min) as the governing constraint and Station 3 (0.74 min) with structural balance loss.
Unit: minutes per piece (illustrative station cycle time). Status: illustrative. Sources: S15, S16, S0502. Illustrative figures are teaching examples, not measured factory results.
In Exhibit 22, every station obeys the pitch constraint (C_k <= 0.95 minutes) and sits just below the 1.00-minute takt.[S16][S0502] Yet Station 3 (illustrative 0.74 minutes) sits 0.20 minutes below Station 5 (illustrative 0.94 minutes) because the operations after yoke attach require a different machine class.[S15] Consequently, steady-state throughput is governed by Station 5 at 60 / 0.94 = 63.8 pieces per hour, not by the 0.86-minute average (69.8 pieces per hour), and running Stations 1 to 4 at full local speed builds a continuous queue upstream of Station 5.[S15][S20][S30] Because Exhibit 22 is deterministic, it omits cycle variance, which builds queues even faster on a live floor.[S23]
A garment precedence graph resembles a river network: preparation branches (collar, cuff, placket, pocket and front prep) merge into a main trunk (shoulder join, collar set, sleeve set, side seam, hem).[S15] In progressive bundle flow, an unsynchronised branch causes component starvation even when room WIP is high.[S06][S21] If 300 shirt bodies wait at collar setting (Station 5 in our illustrative chart) while collar prep is delayed by a fusing fault, collar setting loses OEE from lack of input items despite its machine being ready.[S06] Balancing requires merge synchronisation: upstream branches must deliver matched components in bundle sequence at the pitch rhythm of the main trunk.[S15][S16]
5.11
Observe station time and buffers
Observe station time and buffers. Starting point. Leads to Highest long-term utilisation (time log), Largest upstream WIP queue (buffer count). · illustrative
The Theory of Constraints (TOC) advocates beginning with the constraint that most limits throughput .
Highest long-term utilisation
Highest long-term utilisation. From Observe station time and buffers (time log). Leads to Confirm active bottleneck BNk (S20 criterion 1). · illustrative
Largest upstream WIP queue
Largest upstream WIP queue. From Observe station time and buffers (buffer count). Leads to Confirm active bottleneck BNk (S20 criterion 2). · illustrative
Confirm active bottleneck BNk
Confirm active bottleneck BNk. From Highest long-term utilisation (S20 criterion 1), Largest upstream WIP queue (S20 criterion 2). Leads to Share work or relieve BNk loss (TOC step: elevate), Pace upstream release to BNk (TOC step: subordinate). · illustrative
Share work or relieve BNk loss
Share work or relieve BNk loss. From Confirm active bottleneck BNk (TOC step: elevate). End point. · illustrative
Pace upstream release to BNk
Pace upstream release to BNk. From Confirm active bottleneck BNk (TOC step: subordinate). End point. · illustrative
Illustrative diagnostic decision flow combining the two apparel bottleneck indicators defined in S20 (highest long-term workstation utilisation and largest upstream WIP buffer) with the Theory of Constraints rule to prioritise the constraint that limits system throughput (S30).
Unit: . Status: illustrative. Sources: S20, S30. Illustrative figures are teaching examples, not measured factory results.
5.11 · the bodyExhibit 23 above; its figures are illustrative where marked.
The Theory of Constraints (TOC) advocates beginning with the constraint that most limits throughput.[S30] In a dependent sewing line, an hour lost at the bottleneck is an hour lost for the whole line, whereas an hour saved at a non-constraint adds zero finished garments and merely swells intermediate WIP.[S20][S30]
Traditional garment factories resist this rule because piece-rate habits and station efficiency reports reward local busyness.[S13][S15] When supervisors push every station to stay busy 100 per cent of the shift, upstream stations run at 0.74 to 0.89 minutes per piece while the constraint runs at 0.94 minutes, piling up partially sewn garments that block aisles, hide defects and lengthen throughput time.[S15][S20][S22]
Time-serial bottleneck analysis in textile and apparel production defines bottleneck workstations (BN_k) through two signals: highest long-term utilisation or the largest upstream work-in-process buffer in the system.[S20] Both signals are needed because either alone can mislead if flow boundaries are ignored:[S06][S20]
lack of input items at the following station.[S06][S20]Exhibit 23 traces how these two signals locate BN_k and focus action on system throughput.[S20][S30]
Exhibit 23 prevents false diagnostics.[S20] If a station logs low active sewing time, buffer inspection shows why: an empty upstream buffer indicates upstream starvation, whereas a full upstream buffer and empty downstream buffer during a stop prove the station itself is the active constraint in downtime or quality hold.[S06][S20] Conversely, long-term utilisation separates a persistent bottleneck from a temporary end-of-shift batch dump at pressing.[S20][S22] Chapter 8 turns this diagnostic into an hourly routine.[S12][S20]
In stable systems that are not starting, stopping or surging, Little's Law states that average inventory (WIP) equals average throughput rate (TH) multiplied by average throughput time (T_put).[S22] If the bottleneck caps TH at 50 good pieces per hour, letting upstream stations swell WIP from 100 to 400 pieces cannot raise TH above 50 pieces per hour; by T_put = WIP / TH, it quadruples average throughput time from 2.0 hours to 8.0 hours (illustrative arithmetic under the stability condition).[S22][S30]
Longer throughput time penalises quality: if Station 2 sews an off-centre pocket, a 50-piece buffer exposes the fault at inspection within an hour, whereas a 300-piece queue hides up to 300 defective garments.[S04][S12] In the ILO Factory Improvement Toolset programme in Asia, combining operation bulletins, balancing and bottleneck management raised sewing-room line achievement by 9.49 per cent while cutting both WIP and defects per hundred units by 22 per cent.[S12]
As Exhibit 24 summarises, each parameter answers a distinct operational question: takt sets the demand rhythm; station cycle and load measure workstation duration; pitch sets the engineering ceiling per station or container; precedence defines legal task combinations; upstream WIP and utilisation locate the bottleneck; and system throughput measures finished good garments leaving the line.[S15][S16][S20][S22][S0501][S0503]
5.15
Related · chapter 077 paragraphs step it
Read-out
Illustrative GFT six-gate validation sequence for accepting a proposed sewing-line balance. Precedence and resource constraints follow S15; pitch-time bounds follow S16; operator skill-level matching follows S17. Every candidate allocation must pass a physical line trial before becoming standard work.
Unit: . Status: illustrative. Sources: S15, S16, S17. Illustrative figures are teaching examples, not measured factory results.
Read this exhibit in its chapter ↗Even a rigorous internal balance fails if buyer order placement, style proliferation or late approvals force the sewing room to switch styles every few hours or absorb unscheduled peaks.[S42] In the International Labour Office's study of garment purchasing practices, some buyers plan orders, lead times and production peaks in advance with suppliers, whereas short-notice purchasing compresses lead times and destabilises schedules.[S42]
Order release and style-mix stability are direct engineering inputs to takt and bulletin calculations across three variables:[S13][S42]
T_takt below the feasible constraint cycle C_line, and tempts management into overtime or operator borrowing.[S42][S0501] Advance buyer-supplier planning smooths required takt across weeks.[S42]lack of input items), creating artificial bottlenecks that reallocation cannot fix.[S06][S13][S20]Plant managers and industrial engineers can apply five rules from this chapter before moving to skill adjustments (Chapter 6) and optimisation heuristics (Chapter 7):
P_line) slightly below good-output takt and keep it distinct from bundle release pitch (P_batch). Ensure every workstation's assigned per-piece operating time obeys C_k <= P_line < T_takt on the operator balance chart.[S16][S0502][S0503]BN_k, relieve BN_k, and stop upstream stations from building queues that lengthen throughput time under Little's Law.[S20][S22][S30]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.
21 sources · 254 citation marks on this pageMost cited: S15, 47 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.
c05-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 ↗c05-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 ↗c05-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 ↗c05-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 ↗c05-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 ↗c05-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 ↗c05-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 ↗c05-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 ↗c05-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 ↗c05-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 ↗c05-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 ↗c05-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 ↗c05-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 ↗c05-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 ↗c05-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 ↗c05-S0501 · Grade B
Takt Time
Takt time is the available production time divided by customer demand.
2020-07-02. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c05-S0502 · Grade B
Operator Balance Chart
This is essential for minimizing the number of operators needed by making the amount of work for each operator very nearly equal to, but slightly less than, takt time.
2020-07-02. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c05-S0503 · Grade B
Pitch
Note that the term pitch also is sometimes used to indicate the span or time of a person's job.
2020-07-02. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗S15 Wiley, Engineering Reports. 2020-04-03.
S20 MDPI, Machines. 2023-11-02.
S13 International Finance Corporation and International Labour Organization, Better Work. 2025.
S30 Lean Enterprise Institute. 2006-09-08.
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.
S37 International Labour Organization, SCORE and SIRAYE. 2022-06-01.
S16 MDPI, Energies. 2019-07-19.
S42 International Labour Office. 2017.
S12 International Labour Organization. 2023.
S26 Lean Enterprise Institute. 2020-07-02.
S04 MDPI, Applied Sciences. 2020-09-17.
S21 Elsevier, Lean Tools in Apparel Manufacturing. 2021.
S06 IEEE, IEEE Transactions on Semiconductor Manufacturing. 2005-02-28.
S0501 Lean Enterprise Institute. 2020-07-02.
S01 International Organization for Standardization. 2014.
S0502 Lean Enterprise Institute. 2020-07-02.
S0503 Lean Enterprise Institute. 2020-07-02.
S23 Massachusetts Institute of Technology, MIT OpenCourseWare. 2004.
S22 Massachusetts Institute of Technology, MIT OpenCourseWare. 2012.
Keep the thread · chapter 05 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.