Research libraryUtilisation Decides
Chapter 03 of 14 · Part I · Draft web edition
A factory cannot interpret downtime until it has separated legal hours, planned production, external interruptions and losses inside the line.
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
Derived with illustrative shift inputs using the ISO 22400-2 time-element hierarchy (S01) and OEE loss structure (S04): 480 scheduled shift minutes less 30 minutes of planned non-production yields 450 minutes of planned production time; deducting 45 minutes of unplanned downtime yields 405 operating minutes (90.0% availability); deducting 20 minutes of speed-loss equivalent yields 385 net operating minutes before quality losses.
Unit: minutes per shift. Status: derived. Sources: S01, S04.
Overture · 1 min
A garment factory cannot interpret an availability percentage or an Overall Equipment Effectiveness (OEE) score until it declares the clock from which its denominator is cut.[S01] Availability is the ratio of actual operating time to planned production time, yet two factories experiencing identical physical stoppages can report radically different availability scores simply by shifting the boundary between scheduled shift hours, planned exclusions and unplanned downtime.[S03] When a plant reclassifies power outages, material starvation, style changeovers or extended maintenance windows as "unscheduled time" rather than availability loss, the dashboard score rises while physical output stands still.[S05] In Cameroon, where reported capacity utilisation at incumbent textile plants ranged from 10.83 percent at CICAM 2 to 33.7 percent at Garoua and 48.9 percent at CICAM 1 in the July 2023 account, and where national policy seeks to lift local cotton processing from roughly 5 percent of fibre output to 50 percent by 2030, an elastic time base is a commercial hazard.[R06] [R07] [R12] Green Future Tech Limited (GFT) treats the time base as the first engineering assumption of any garment programme: before a sewing line selects target speeds or digital sensors, it must anchor available hours in statutory labour rules, separate calendar time into nested operational intervals, price external grid interruptions separately from internal breakdowns, bound changeover duration from last good piece to first approved piece, set an explicit recording threshold for short stops and bind every downtime code to a single accountable owner.[S01] [S02] [S33]
3.1
Read-out
Illustrative GFT planning matrix scoring six operational envelope controls by degree of direct in-plant management control (x-axis, 0 to 10) and protective impact on sustained good throughput (y-axis, 0 to 10). Conceptual basis drawn from statutory hours (S33), power reliability (S35), ergonomics (S38) and turnover dynamics (S39). Scores are illustrative design judgments, not measured factory outcomes.
Unit: illustrative planning score (0 to 10). Status: illustrative. Sources: S33, S35, S38, S39. Illustrative figures are teaching examples, not measured factory results.
Read this exhibit in its chapter ↗Read-out
Derived from the illustrative 5-zone polo-shirt worked example: 450 planned good pieces across 450 operating minutes (1.00 piece/minute takt); an unaddressed Zone 2 replacement operator at 0.68 skill rating (S17; S18) caps output at 360 pieces (-90 loss: -24 in Hours 1 to 2 and -66 in Hours 3 to 8); splitting 15 base seconds to Zone 1 after Hour 2 restores pitch compliance (S16) and recovers 66 pieces in Hours 3 to 8 plus 6 queued pieces, closing at 432 good garments.
Unit: good garments per shift. Status: derived. Sources: S12, S16, S17, S20.
Read this exhibit in its chapter ↗3.1 · Introduction
Capacity planning in labour-intensive sewing operations begins with the legal and physiological limits of the human workforce rather than the mechanical duty cycle of a lockstitch head.
Exhibit 59, chapter 12: Statutory 40h roster base
3.2 · Statutory limits and overtime rules bound the weekly denominator
In Cameroon, the primary boundary on regular production time is established by Law No.
Exhibit 59, chapter 12: Statutory 40h roster base
3.3 · Extended hours erode hourly effectiveness and mask planning defects
Even within legally authorised limits, extending the working day does not yield a linear increase in good garments.
Exhibit 59, chapter 12: Supervisor coaching cadence
3.4 · Shift architecture separates calendar presence from attended production
Constructing a clean time base requires codifying how weekly statutory hours are partitioned into daily shifts, meal breaks and rest allowances.
Exhibit 37, chapter 08: Planned target
3.1 · the bodyThe film above follows these sub-steps.
Capacity planning in labour-intensive sewing operations begins with the legal and physiological limits of the human workforce rather than the mechanical duty cycle of a lockstitch head.[S14] While a spinning frame may run continuously across twenty-four illustrative hours a day, a garment assembly line is an interdependent human-machine system requiring sustained visual focus, manual dexterity and postural stability.[S02] [S14] Treating the calendar week as an unconstrained reservoir of machine hours produces paper capacity models that fail through fatigue, absenteeism, rework and regulatory non-compliance.[S41]
In Cameroon, the primary boundary on regular production time is established by Law No. 92/007 of 14 August 1992, the national Labour Code, which states that statutory hours of work in all public and private non-agricultural establishments may not exceed 40 hours per week.[S33] The inherited sector evidence register likewise records a standard 40-hour working week, a 48-hour maximum working week including authorised overtime, and an overtime wage premium starting at 1.2 times the regular hourly rate, alongside an informal employment share of roughly 90 percent and a statutory minimum wage (SMIG) raised from XAF 41,875 per month in 2023 to XAF 43,969 per month from 23 February 2024.[R14] [R16] This operational analysis is not legal or tax advice, and sponsors must obtain local legal counsel when structuring shift rosters and overtime authorisations.[S33] For the industrial engineer, the boundary is clear: a single-shift garment plant must anchor its baseline capacity model on 40 regular hours per week (2,080 regular hours across a 52-week illustrative year before holidays), not on fifty-five or sixty weekly hours.[R16] [S33]
Embedding permanent overtime into the nominal capacity denominator inflates marginal unit labour cost by at least the 1.2 times statutory multiplier and removes the time buffer needed to absorb delayed fabric containers or utility outages.[R16] [S35] [S41] If the regular schedule already consumes the 48-hour weekly ceiling, the plant has no lawful reserve left to recover lost output without adding a second crew.[R16] [S33]
Even within legally authorised limits, extending the working day does not yield a linear increase in good garments.[S41] Research synthesised by the International Labour Organization (ILO) and International Finance Corporation (IFC) Better Work programme demonstrates that the extension of working hours does not in general yield proportionate increases in total output, and can even lead to an absolute reduction in total output over the long run.[S41] During the ninth and tenth hours of an illustrative extended shift, operator pace falls as muscular and visual fatigue increases stitch placement errors, needle breaks and thread breakages, creating rework that consumes regular production hours the next morning.[S04] [S09] [S41]
Chronic overtime also corrupts the diagnostic signal of the time base.[S03] When supervisors know that an evening extension is routinely approved whenever a line falls behind target, they face weak pressure to eliminate the morning stoppages that caused the shortfall.[S41] Holding the baseline schedule to the statutory 40-hour week forces losses into the open: if a line planned for 480 attended minutes across five eight-hour days fails to deliver its target output within regular hours, the variance is recorded as an availability, performance or quality loss demanding an engineering remedy.[R16] [S04] [S33]
Constructing a clean time base requires codifying how weekly statutory hours are partitioned into daily shifts, meal breaks and rest allowances.[S01] In an illustrative single-shift plant operating five days per week for 8.0 paid hours per day inside an 8.5-hour presence window with an unpaid 30-minute meal break, the 1,440-minute calendar day splits into 930 unscheduled minutes, 30 meal-break minutes and 480 scheduled shift minutes.[S01] Deducting a 10-minute morning huddle and 20 minutes of scheduled operator rest and machine cleaning leaves 450 illustrative minutes of planned production time.[S01] [S26]
Keeping those boundaries aligned is essential because Standard Minute Value (SMV) labour efficiency compares earned standard minutes against attended labour minutes, whereas OEE availability compares operating time against planned production time.[S04] [S13] If industrial engineering calculates takt time on 480 minutes while the floor runs for 450 illustrative minutes after huddles and cleaning, the line will finish every shift 6.25 percent short of target even at 100 percent standard pace.[S01] [S13]
3.5
Related · chapter 017 paragraphs step it
Read-out
Illustrative assumptions: reference volume 1000, availability 0.90, performance 0.80, quality 0.95. Arithmetic: 1000 minus 100 minus 180 minus 36 equals 684; equivalently 1000 x 0.90 x 0.80 x 0.95. Source supports the OEE structure, not these assumed inputs. Loss allocation follows this stated sequence.
Unit: illustrative unit equivalents per planned period. Status: illustrative. Sources: S04. Illustrative figures are teaching examples, not measured factory results.
Read this exhibit in its chapter ↗ISO 22400-2 specifies that manufacturing KPIs must be presented by means of their formula, corresponding elements, time behaviour, unit or dimension and other boundary characteristics.[S01] Yet academic review of the ISO standard identifies two radically different versions of the OEE indicator with no explicit demonstration of their equivalence, while a National Institute of Standards and Technology (NIST) subcommittee report confirms that multiple definitions, interpretations and calculations of OEE coexist across industry.[S03] [S05] The primary source of divergence is the availability denominator: which non-operating intervals are deducted before planned production time is declared, and which remain inside the denominator as availability losses.[S04] [S05]
To eliminate ambiguity between Total Effective Equipment Performance and shift OEE, GFT partitions the clock into five nested intervals, illustrated in Exhibit 11:[S01] [S04]
As Exhibit 11 illustrates, each subtraction answers a different management question.[S01] [S04] Under those illustrative inputs, availability is calculated across the 450-minute planned production base: deducting 45 minutes of unplanned downtime leaves 405 operating minutes ($90.0\text{ percent}$ availability), and subtracting 20 minutes of speed-loss equivalent yields 385 net operating minutes ($95.06\text{ percent}$ performance) before quality losses.[S04] What Exhibit 11 cannot establish on its own is whether the 30 illustrative minutes of planned exclusions were genuinely optimal; reclassifying routine changeovers or material waiting as "planned exclusions" inflates reported availability while actual operating minutes fall.[S03] [S05]
Semiconductor and discrete manufacturing research demonstrates that OEE is distorted when equipment-independent conditions, such as lack of input items, are dropped from the clock or misattributed to the workstation.[S06] Pausing the OEE clock whenever a sewing line waits for cut panels or electricity measures machine reliability during isolated fragments of the day while fixed overheads, medium-voltage demand charges and operator wages accrue across the full shift.[R16] [S03] [S06] [S34] GFT therefore separates commercial stand-downs (no order scheduled and no crew rostered) from operational interruptions (a crew is rostered and paid, but halted by material, power, maintenance or changeover events).[S01] [S06]
External benchmarking across garment factories is hazardous unless the underlying time protocol is audited first.[S03] [S05] In the apparel literature, Company X reported a baseline OEE of 42.91 percent (73.04 percent availability, 64.64 percent performance and 89.46 percent quality) before rising to 52.27 percent with process monitoring and digital line balancing, while Company Y recorded a baseline OEE of 58.81 percent (83.39 percent availability, 71.66 percent performance and 98.42 percent quality).[S09] In a NIST Manufacturing Extension Partnership (MEP) case, OEE rose from 39 percent to 45 percent as lost capacity fell from 61 percent to 55 percent under Total Productive Maintenance (TPM).[S08] Comparing Company X's 73.04 percent availability, the NIST case's 39 percent OEE and CICAM's July 2023 capacity utilisation of 10.83 to 48.9 percent as one scale would misread all three, because corporate utilisation compares annual volume against nameplate capacity whereas shift OEE measures operating minutes against a specific planned shift denominator.[R12] [S08] [S09]
3.9
Read-out · sourced
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.
In Cameroon and across much of sub-Saharan Africa, grid reliability is a primary determinant of manufacturing capacity utilisation.[S35] [S36] The IFC's Country Private Sector Diagnostic for Cameroon states directly that energy supply is limited and unreliable.[S35] If a garment factory's OEE protocol omits grid outages from its downtime log or lumps them into a generic "facility downtime" bucket alongside broken needles, management cannot price the capacity destroyed by utility interruptions or evaluate backup power investments.[S02] [S35]
A World Bank Policy Research Working Paper analysing firm-level manufacturing data across 84 developing countries between 2006 and 2019 finds that power outages negatively and significantly affect firm-level revenue-based total factor productivity, with a 9 percent lower unconditional average productivity for outage-exposed firms compared with non-exposed firms.[S36] While that 9 percent gap is a multi-country average across 84 economies rather than a Cameroon-specific garment coefficient, World Bank Enterprise Survey indicators show how directly the mechanism applies in Cameroon.[S36] [S0301] As shown in Exhibit 12, 93.3 percent of surveyed Cameroonian firms reported experiencing electrical outages in 2024 (following 92.5 percent in 2016 and 92.4 percent in 2009), and affected Cameroonian firms reported losing an average of 2.0 percent of annual sales to electrical outages in 2024 (compared with 5.0 percent in 2016 and 1.48 percent in 2009).[S0301] [S0302]
with a 9 percent lower unconditional average productivity for outage-exposed firms compared with non-exposed firms
S36
The indicators in Exhibit 12 establish that power interruptions in Cameroon are a routine operating condition affecting more than nine out of ten surveyed enterprises, though they cannot by themselves predict the exact minutes a specific sewing line will lose without local logging.[S36] [S0301] [S0302] On a garment floor, an electrical interruption inflicts three distinct time losses within the TPM six-loss structure, which explicitly includes startup and restart losses alongside equipment breakdowns and quality losses:[S02]
If a line supervisor records a 25-minute grid drop and subsequent boiler recovery under "machine downtime", the maintenance team's repair records are polluted by events that mechanics cannot prevent.[S02] Conversely, if the supervisor subtracts those 25 illustrative minutes from planned production time so that line availability still reads 95 percent, the executive team never sees the cumulative capacity cost of weak grid power.[S03] [S35] GFT resolves this conflict by keeping utility interruptions inside planned production time while isolating them in dedicated external-cause codes (PWR-GRID for unmitigated blackout minutes, PWR-XFER for generator transfer and PWR-RSTR for boiler and equipment restart), allowing the plant to track both total line availability and internal mechanical availability.[S01] [S02] [S06]
Separating power-loss codes also provides the empirical inputs needed to size backup generation and manage electricity tariffs, connecting shop-floor OEE to the weak-grid engineering covered in paper wp07.[S34] [S35] In Cameroon, Decision No. 00000427 of the electricity sector regulator (ARSEL) dated 12 December 2022 establishes that medium-voltage (MT) electricity tariffs consist of two additive terms: a fixed monthly charge per kilowatt of subscribed demand and a variable charge per kilowatt-hour consumed across time-differentiated schedules.[S34] Meanwhile, guidance from the United Nations Industrial Development Organization (UNIDO) demonstrates that when a factory carries a large fixed energy base load, lower production volume causes energy intensity per unit to rise purely through the denominator effect, even when process equipment efficiency has not changed.[S44] Recording exact outage durations, transfer times and backup-generation running hours in the line's time base gives facilities engineers the duty-cycle ledger required to price backup power and tariff exposure accurately.[S34] [S35] [S44]
Interlude · the cloth half-woven
Woven: sections 3.0 to 3.9Still to weave: 3.13 to 3.21
Read-out
Sourced figures from three distinct studies: Ethiopian manufacturing turnover panel (S39), six-week manual sewing capacity tracking (S18), and ILO Factory Improvement Toolset Asian garment programme (S12). Scope and geography differ; not a Cameroon forecast.
Unit: sourced empirical indicators. Status: sourced. Sources: S12, S18, S39.
Read this exhibit in its chapter ↗3.13
Related · chapter 104 paragraphs step it
Read-out
Illustrative task plan. Before: preparation 0 to 20, adjustment 20 to 35, approval 35 to 45. After: preparation -20 to 0, adjustment 0 to 15, approval 15 to 25. Same task durations; interruption falls from 45 to 25 minutes only if advance preparation does not reduce outgoing production. Not a resource or dependency solver.
Unit: illustrative minutes relative to last good piece. Status: illustrative. Sources: S25. Illustrative figures are teaching examples, not measured factory results.
Read this exhibit in its chapter ↗A sewing line with reliable electricity and functioning machines still loses a large share of its planned production time whenever it switches garment styles, fabric weights or colourways.[S02] [S25] In NIST's TPM taxonomy, setup and adjustment slowdowns form the second of the six major equipment losses.[S02] As apparel buyers demand smaller order quantities and frequent style drops, treating changeover as "free time outside the OEE clock" causes saleable output to fall while reported operating efficiency appears unchanged.[S03] [S25]
Defining changeover time as the brief interval when a mechanic swaps a presser foot or folder on one machine understates the true line loss.[S25] Across thirty or forty illustrative workstations, a changeover propagates from the first preparation station to final inspection.[S14] [S25] Lean methodology bounds changeover from completion of the last good piece of the outgoing style to completion of the first approved, defect-free piece of the incoming style at target rhythm, including line run-out, mechanical and thread changes, and first-piece quality approval.[S02] [S25] Keeping that entire window inside planned production time makes setup loss visible inside availability and post-restart performance.[S02] [S04]
Retaining changeover inside the availability denominator creates a direct incentive to compress it using Single Minute Exchange of Die (SMED), which the Lean Enterprise Institute defines through the conceptual target of reducing changeover times to a single digit (under 10 minutes) by separating internal setup steps performed while stopped from external setup steps completed while the outgoing style is still running.[S25] In a cork-stopper manufacturing case study, applying SMED reduced total changeover time by 43 percent; while non-apparel in scope, this result evidences the mechanism of externalising setup preparation.[S25] [S45] On a sewing line, SMED means pre-calibrating spare heads, folders and bobbins on a mechanic's cart, staging cut bundles and operation-bulletin cards beside each station before run-out, and converting workstations in a rolling wave behind the final outgoing bundle.[S13] [S25] [S26]
Even after the first piece of a new style passes inspection, a sewing line rarely jumps instantaneously to 100 percent of its steady-state standard pace.[S02] NIST's TPM framework explicitly names startup and restart losses alongside setup and adjustment slowdowns as distinct components of the six big losses.[S02] In apparel manufacturing, empirical data from Company X's sewing-floor monitoring confirm how heavily adjustment burdens weigh on downtime: across the monitored period, machine adjustment accounted for 3,694 minutes of recorded downtime, second only to technical malfunction at 4,923 minutes.[S09] GFT's time-base protocol therefore tracks both stopped changeover minutes (CHG-STP) and post-changeover hourly earned-minute ramp variance against standardised changeover sheets.[S02] [S13] [S26]
3.17
While catastrophic breakdowns, power blackouts and full-line style changeovers are impossible to ignore, a sewing floor loses an equally damaging fraction of its capacity through hundreds of brief interruptions lasting between thirty seconds and five minutes, such as rethreading a snapped upper thread, replacing a burred needle or clearing a bobbin snarl.[S02] [S09] Because each individual event is short, manual paper logs routinely omit them, distorting how OEE availability and performance are reported.[S07]
In OEE theory, availability measures downtime losses from breakdowns and setups, whereas performance measures speed losses from reduced operating speed and minor stoppages.[S02] [S04] If a stop is not recorded in the downtime log, those lost minutes remain inside actual operating time, making availability look artificially high and performance look artificially low.[S04] [S09] Research in the International Journal of Advanced Manufacturing Technology highlights that components of OEE contain significant uncertainty under manual or semi-automatic measurement systems because observers record stoppage durations and speeds with variable precision.[S07] To eliminate observer bias, GFT's manual log protocol declares an explicit minimum stop-recording threshold of 2.0 illustrative minutes for discrete timestamped downtime entries, paired with mandatory tally marks for every needle change and thread break regardless of duration.[S07] [S09]
When a garment factory enforces disciplined fault capture across its sewing lines, the resulting distribution of downtime provides a clear priority list for maintenance and industrial engineering.[S09] In the apparel OEE study of Company X, researchers deployed Process Monitoring Devices (PMDs) across sewing workstations to record the exact minutes lost to major operational faults.[S09] As shown in Exhibit 13, technical malfunction consumed 4,923 minutes of downtime, machine adjustment consumed 3,694 minutes, faulty needles accounted for 2,432 minutes and thread breakage accounted for 1,427 minutes, totalling 12,476 minutes across those four categories.[S09]
Read-out
Sourced from Company X sewing-line monitoring in S09. Values show cumulative recorded downtime minutes by fault category during the baseline monitoring period (total 12,476 minutes across these four fault categories). Single-company empirical observation, not a universal industry benchmark.
Unit: recorded downtime minutes. Status: sourced. Sources: S09.
The distribution in Exhibit 13 shows that mechanical breakdowns (4,923 minutes, or 39.46 percent of the 12,476-minute total) and machine adjustments (3,694 minutes, or 29.61 percent) generated 69.07 percent of recorded fault time, while faulty needles (2,432 minutes, or 19.49 percent) and thread breakage (1,427 minutes, or 11.44 percent) still consumed 3,859 minutes (30.93 percent).[S09] Each bar points to a distinct countermeasure: preventive maintenance for malfunctions, SMED gauges for adjustments, needle-cooling and change policies for needle faults, and cone tension checks for thread breaks.[S02] [S09] [S25] While bounded by Company X's internal monitoring scope (excluding grid outages or cutting delays), Exhibit 13 proves the diagnostic value of categorised minute capture.[S06] [S09]
or 39.46 percent of the 12,476-minute total) and machine adjustments (3,694 minutes
S09
While Company X used Process Monitoring Devices and paper wp18 details edge hardware, waiting for sensor deployment before fixing the time base reverses the proper engineering sequence.[S07] [S09] Without defined planned-time boundaries, stop thresholds and cause codes, motor sensors cannot distinguish a broken hook from bundle starvation or normal fabric-alignment pauses.[S07] [S14] GFT therefore starts every line with a manual supervisor log and workstation colour cards from the first shift, automating capture only after the definitions govern daily decisions.[S07] [S12]
Time-base and availability reconciliation equations
For any declared shift or weekly reporting period, let all time elements be measured in minutes at a single workstation or at the governing line constraint:[S01] [S04]
$$A_{\text{tot}} = \frac{T_{\text{op}}}{T_{\text{plan}}}, \qquad A_{\text{mech}} = \frac{T_{\text{plan}} - \left(D_{\text{mech}} + D_{\text{adj}}\right)}{T_{\text{plan}}}$$ Reporting both ratios preserves total capacity truth via $A_{\text{tot}}$ while isolating maintenance execution via $A_{\text{mech}}$, provided that $\sum D_{k} + T_{\text{op}} \equiv T_{\text{plan}}$ is verified at every shift close.[S01] [S02] [S06]
3.21
Grid outage
Grid outage: Line controllability (0 external to 10 internal) 1.5, Restart penalty (0 immediate to 10 protracted) 8. Quadrant: External shock with restart drag · illustrative
Capturing downtime minutes accurately improves factory economics only when each code triggers a specific corrective workflow.
Style changeover
Style changeover: Line controllability (0 external to 10 internal) 8, Restart penalty (0 immediate to 10 protracted) 7.5. Quadrant: Internal setup and repair drag · illustrative
Technical breakdown
Technical breakdown: Line controllability (0 external to 10 internal) 8.5, Restart penalty (0 immediate to 10 protracted) 6.8. Quadrant: Internal setup and repair drag · illustrative
Operator absence
Operator absence: Line controllability (0 external to 10 internal) 5, Restart penalty (0 immediate to 10 protracted) 5.5. Quadrant: Internal setup and repair drag · illustrative
Material starvation
Material starvation: Line controllability (0 external to 10 internal) 3, Restart penalty (0 immediate to 10 protracted) 4.5. Quadrant: External hold with fast resume · illustrative
Needle or thread fault
Needle or thread fault: Line controllability (0 external to 10 internal) 9, Restart penalty (0 immediate to 10 protracted) 2.5. Quadrant: Internal micro-stop and adjustment · illustrative
No-order stand-down
No-order stand-down: Line controllability (0 external to 10 internal) 1, Restart penalty (0 immediate to 10 protracted) 2. Quadrant: External hold with fast resume · illustrative
The method behind it: Worked example.
Illustrative diagnostic matrix applying the six-loss structure in S02 and the equipment-independent starvation distinction in S06. Horizontal axis scores internal line/maintenance controllability (0 fully external to 10 fully internal); vertical axis scores post-stop restart and ramp drag (0 immediate restart to 10 protracted thermal/line re-synchronisation). Scores are analytical placements for taxonomy design, not empirical measurements.
Unit: illustrative control and restart score (0 to 10). Status: illustrative. Sources: S02, S06. Illustrative figures are teaching examples, not measured factory results.
3.21 · the bodyExhibit 14 above; its figures are illustrative where marked.
Capturing downtime minutes accurately improves factory economics only when each code triggers a specific corrective workflow.[S02] [S12] When a daily production report lists a single aggregate "Downtime" column, no single manager is accountable and the morning meeting degenerates into mutual blame among supervision, maintenance, cutting and stores.[S06] [S12]
The TPM loss framework separates equipment-related losses into six distinct mechanisms because different losses have different physical causes and owners, while semiconductor and line-flow studies show that equipment effectiveness logs must also separate equipment-independent starvation and external interruptions.[S02] [S06] To make this separation operational, Exhibit 14 positions eight core garment-line interruption categories across two engineering dimensions: internal line and maintenance controllability (horizontal axis, from 0 external to 10 internal) and post-stop restart and ramp drag (vertical axis, from 0 immediate resume to 10 protracted recovery).[S02] [S06]
from 0 external to 10 internal) and post-stop restart and ramp drag (vertical axis
S02, S06, S02, S06
Inspecting the four quadrants of Exhibit 14 clarifies why an undifferentiated downtime bucket fails: grid outages ($x=1.5, y=8.0$) originate externally but inflict severe boiler and mid-seam restart drag; style changeovers ($x=8.0, y=7.5$), technical breakdowns ($x=8.5, y=6.8$) and quality holds ($x=6.5, y=6.0$) are internally controllable and carry substantial post-stop adjustment tails; material starvation ($x=3.0, y=4.5$) and no-order stand-downs ($x=1.0, y=2.0$) originate upstream in cutting or commercial planning; and needle or thread faults ($x=9.0, y=2.5$) lie inside the workstation with rapid restart but high frequency.[S02] [S06] [S09] Because Exhibit 14 is an illustrative taxonomy model, its coordinates define governance routing rather than fixed empirical ratios.[S02] [S06]
To turn Exhibit 14 into daily governance, GFT binds each loss code to a boundary rule, a primary functional owner and a daily huddle action, as set out in Exhibit 15.[S01] [S02] [S06]
In Exhibit 15, only SCH-STD (unrostered no-order time declared before the shift roster is published) sits outside planned production time.[S01] Every other interruption occurs while a crew is rostered and paid, so every other code remains inside the planned production denominator, with spare-head swaps for MCH-BRK exceeding 15 illustrative minutes and upstream buffer audits for MAT-STR.[S01] [S02] [S06]
with spare-head swaps for MCH-BRK exceeding 15 illustrative minutes and upstream buffer audits for MAT-STR
S01, S02, S06 · illustrative
A time-base taxonomy only changes physical throughput when it operates at the rhythm of the shift rather than arriving in a month-end spreadsheet.[S12] In the ILO Factory Improvement Toolset applied in the Asian garment sector, combining operation bulletins, SMV measurement, line planning, hourly balancing and bottleneck management lifted sewing-room line achievement by 9.49 percent while reducing work in progress and defects per hundred units by 22 percent each.[S12] In GFT's Cameroon textile programme, the supervisor records good pieces, rework and coded downtime minutes (MCH-BRK, MCH-ADJ, CNS-NDL, CHG-STP, MAT-STR, QLT-HLD, PWR-OUT) on the line board at the close of every sixty-minute block so that mechanics and supervisors act on abnormalities in the next hour rather than the next week.[S02] [S12]
Once the time base is locked, availability ceases to be a negotiable accounting ratio and becomes a physical audit of how the factory converts lawful working hours into active operating minutes.[S01] [S33] Connecting those active minutes to garment work content across styles of different complexity requires Standard Minute Values and operation bulletins, examined in the next chapter.[S04] [S13]
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.
28 sources · 253 citation marks on this pageMost cited: S02, 35 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.
R14 · Grade C · inherited record
Inherited evidence R14
Cameroon minimum wage (SMIG) XAF 41,875 a month in 2023, raised to XAF 43,969 a month from 23 February 2024, about US$76, a rise of 5 percent.
Publication date unrecorded. Inherited source-text record. The original publication has not been independently reopened for this web edition.
R16 · Grade C · inherited record
Inherited evidence R16
Informal share of employment about 90 percent; standard 40-hour week, 48-hour maximum, overtime at 1.2 times.
Publication date unrecorded. Inherited source-text record. The original publication has not been independently reopened for this web edition.
c03-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 ↗c03-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 ↗c03-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 ↗c03-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 ↗c03-S05 · Grade B
Overall Equipment Effectiveness: consistency of ISO standard with literature
The standard presents two versions of the Overall Equipment Effectiveness (OEE) indicator: apparently the two versions are radically different and no effort of highlighting their equivalence is evident in the text.
2020. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c03-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 ↗c03-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 ↗c03-S08 · Grade A
Total Productive Maintenance Reduces Equipment Downtime and Lost Capacity
OEE also increased from 39% to 45% and lost capacity was reduced from 61% to 55%.
2022-10-04. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c03-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 ↗c03-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 ↗c03-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 ↗c03-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 ↗c03-S25 · Grade B
Single Minute Exchange of Die
SMED refers to the target of reducing changeover times to a single digit, or less than 10 minutes.
2020-07-02. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c03-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 ↗c03-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 ↗c03-S34 · Grade A
Decision 00000427 fixing electricity sale tariffs for medium-voltage customers
Les tarifs de vente hors taxe d'électricité des clients MT et les seuils minima de négociation sont composés de deux termes qui s'ajoutent :
2022-12-12. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c03-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 ↗c03-S36 · Grade A
Power Constraints and Firm-Level Total Factor Productivity in Developing Countries
It shows that power outages negatively and significantly affect firm-level revenue-based total factor productivity, with a 9 percent lower unconditional average productivity for exposed firms compared to nonexposed firms.
2023. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c03-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 ↗c03-S44 · Grade A
Practical Guide for Implementing an Energy Management System
In the case of the large base load the level of production activity has a large effect on this indicator, i.e. if production volumes increase the ratio decreases and appears to show an improvement in energy performance when none has occurred.
2015. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c03-S45 · Grade B
Applying SMED methodology in cork stoppers production
The SMED (Single Minute of Exchange of Die) methodology was applied in a way to reduce the downtime caused by tool changes, and a reduction of 43% in total changeover time was obtained.
2018. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c03-S0301 · Grade A
Firms experiencing electrical outages (% of firms) - Cameroon (IC.ELC.OUTG.ZS)
{"indicator":{"id":"IC.ELC.OUTG.ZS","value":"Firms experiencing electrical outages (% of firms)"},"country":{"id":"CM","value":"Cameroon"},"countryiso3code":"CMR","date":"2024","value":93.30515289}
2026-10-08. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c03-S0302 · Grade A
Value lost due to electrical outages (% of sales for affected firms) - Cameroon (IC.FRM.OUTG.ZS)
{"indicator":{"id":"IC.FRM.OUTG.ZS","value":"Value lost due to electrical outages (% of sales for affected firms)"},"country":{"id":"CM","value":"Cameroon"},"countryiso3code":"CMR","date":"2024","value":2}
2026-10-08. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗S01 International Organization for Standardization. 2014.
S03 National Institute of Standards and Technology. 2020.
S05 Elsevier, Computers and Industrial Engineering. 2020.
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.
S02 National Institute of Standards and Technology. 2018.
S33 Republic of Cameroon, English text mirrored by Ministry of Commerce of China. 1992-08-14.
S14 Online Clothing Study. 2024-11-14.
S41 Better Work, International Labour Organization and International Finance Corporation. 2011.
R14 WageIndicator. Publication date unrecorded; inherited source-text check.
R16 WageIndicator. Publication date unrecorded; inherited source-text check.
S35 International Finance Corporation, World Bank Group. 2022.
S04 MDPI, Applied Sciences. 2020-09-17.
S09 Wiley, Engineering Reports. 2025-07-26.
S26 Lean Enterprise Institute. 2020-07-02.
S13 International Finance Corporation and International Labour Organization, Better Work. 2025.
S06 IEEE, IEEE Transactions on Semiconductor Manufacturing. 2005-02-28.
S34 Agence de Régulation du Secteur de l'Electricité, Republic of Cameroon. 2022-12-12.
S08 NIST Manufacturing Extension Partnership. 2022-10-04.
S36 World Bank, Development Research Group. 2023.
S0301 World Bank, World Development Indicators and Enterprise Surveys. 2026-10-08.
S0302 World Bank, World Development Indicators and Enterprise Surveys. 2026-10-08.
S44 United Nations Industrial Development Organization. 2015.
S25 Lean Enterprise Institute. 2020-07-02.
S45 Elsevier, Procedia Manufacturing. 2018.
S07 Springer, International Journal of Advanced Manufacturing Technology. 2017-10-12.
S12 International Labour Organization. 2023.
Keep the thread · chapter 03 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.