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.
EX 08
EX 10
The chapter as a draft: 6 sections, 2 exhibit wefts, one shuttle.
Lead exhibit · 06LayersillustrativeEach OEE branch needs evidence and a response
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Method and source
Illustrative GFT protocol adapted from the NIST maintenance report's loss categories. Layers connect metric, observation and action; no measured factory values are represented.
Unit: proposed diagnostic structure. Status: illustrative. Sources: S02. Illustrative figures are teaching examples, not measured factory results.
The chapter's warpBar: share of the reading · square: an exhibit
OEE is useful when it explains where a declared production opportunity was lost and identifies an action that could recover good output. Its headline score is insufficient. GFT recommends retaining the underlying time records, output counts, component calculations and cause codes as a connected loss tree. The method below is a proposed operating protocol for a garment line, not an account of measured GFT factory results. It combines the familiar availability, performance and quality structure with explicit reconciliation and ownership rules.[S02]
The formula multiplies three different kinds of loss
Related · chapter 0310 paragraphs step it
Related exhibit 11 · chapter 03ReconciliationderivedThe OEE clock narrows from scheduled time to effective production
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Method and source
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.
The NIST maintenance report presents OEE as availability multiplied by performance rate and quality rate. Its definitions relate downtime to required availability, design cycle time and output to operating time, and quality defects to production input. These are different denominators, so the components cannot be added or averaged to obtain OEE.[S02] For this chapter, the practical question is whether the production records can explain every step from planned opportunity to accepted output.
GFT proposes a local notation before any dashboard is configured. Let T be planned production minutes, D be counted downtime minutes, R be running minutes after subtracting D, c be the approved ideal cycle in minutes per unit, N be total completed units and G be units accepted without rework at the declared checkpoint. These variables describe a single operation and a single product basis. They are not attended labour minutes, stitch counts or a sum of unrelated machine capacities.
This convention makes an important distinction. The final ratio measures effective output against opportunity, while the components explain the route to that result. A low score alone cannot reveal whether the loss arose because the machine stopped, the operation ran slowly or completed work failed inspection. The loss tree therefore needs both a reconciled total and a credible allocation. Recalculating the total is an arithmetic check; validating the allocation requires observation.
For a proposed garment application, define the output event at an operation that produces a countable result, such as a completed seam operation or an inspected finished garment. Do not call a machine stitch a garment. For parallel machines, identify whether the denominator is machine minutes or elapsed line minutes. When the boundary is the whole line, use an approved line output model. Multiplying machine scores does not create a defensible line score because the same garment can pass through those machines.
The proposed architecture in Exhibit 6 connects a component to its evidence and decision. It adapts NIST's loss categories into a supervisory method. The layer labels are recommendations, not a claim that GFT has implemented this design.[S02]
Read the architecture from the observation towards the decision as well as from the score downwards. A supervisor who sees a persistent speed residual should first ask whether counts, time and cycle basis agree. Only then should the residual become a work-method investigation. This order avoids presenting a calculation error as an operator problem. It also allows a paper log and a later digital system to use the same definitions.
Retain unavailable or invalid results explicitly. If planned time is absent, the OEE denominator is unresolved. If running time or completed output is absent, some components cannot be divided meaningfully. Report the observed stop and output state with the calculation limitation rather than allowing spreadsheet defaults to invent a result. The purpose is an inspectable account of production, including periods when the component calculation is not defined.
GFT proposes retaining a compact calculation packet for every reporting period. It should contain the approved schedule, the cycle-standard version, the event intervals, the completed-output ledger, the acceptance ledger and the calculation result. A reviewer should be able to reconstruct the score without interviewing its original author. A dashboard screenshot cannot replace this packet because it omits the assumptions that determine the result. Where records disagree, show the discrepancy before approving the period for comparison.
The packet should also distinguish machine time from human work. An operator may inspect, prepare or handle a component while the machine is not cycling. Under the proposed method, that observation prompts a check of the cycle boundary and work content; it does not automatically become avoidable downtime. A machine signal needs an operational definition before it can describe a manual or mixed activity. This preserves the distinction between observing electrical activity and measuring effective production.
2.23 min · 9 paragraphs · 1 exhibit
Availability losses extend beyond breakdowns
NIST's maintenance review includes equipment breakdown, setup and adjustment slowdowns, brief idling, reduced capacity, quality-related losses and start or restart losses in its discussion of total productive maintenance. The categories extend beyond equipment failure.[S02] GFT's proposed availability branch therefore separates the fact that production stopped from the question of which function could prevent that stop recurring.
For the proposed sewing-line log, use observable states before inferred causes. Record whether the station lacked power, lacked released material, awaited an attachment, underwent adjustment, awaited inspection clearance or suffered a mechanical fault. Keep an unresolved state available. Asking an operator to choose a definitive root cause during every interruption would turn uncertain observations into apparently certain maintenance statistics. A supervisor can refine a cause after investigation while preserving the original entry.
¶ 02
Allocate elapsed time only once within the declared station boundary. In an illustrative overlap, suppose material is unavailable for 20 minutes and a power interruption affects the same station during 8 of those minutes. The union is 20 lost minutes, not 28. Keep both conditions as tags, use a documented primary-state rule for the additive time ledger, and retain the overlap for investigation. The primary label is an accounting convention; it does not prove which intervention would recover production.
¶ 03
suppose material is unavailable for 20 minutes and a power interruption affects the same…illustrative
Separate restoration from administrative closure. GFT proposes that the stop ends when the station is capable of production under the declared rule, while the event remains open for cause investigation if necessary. A technician's arrival, completion of a repair and acceptance of a restart piece are different events. A time log should preserve their sequence where they affect the operating decision. Otherwise response delay can disappear inside repair time and restart losses can disappear inside a closed work order.
¶ 04
The responsibility table in Exhibit 7 is an illustrative starting point. Its assignments follow the observed problem rather than the machine's location. Local management should adapt them to actual authority and escalation arrangements; the table does not establish a staffing requirement or a contractual allocation of fault.
Exhibit 07RegisterillustrativeThe observed loss determines the first response
Observed loss
Mechanical stop
First response
Maintenance
Check before closure
Stable restart
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Open the full register (6 rows)
Mechanical stop
Maintenance
Stable restart
Setup delay
Industrial engineering
Approved first piece
No released input
Materials planning
Feed restored
Power interruption
Facilities
Safe supply restored
Slow cycle
Supervision
Method and cycle basis
Rejected output
Quality
Containment and cause
Method and source
Illustrative GFT response model informed by NIST loss categories. Roles describe responsibilities, not known GFT personnel. Ownership must be confirmed locally.
Unit: proposed response assignment. Status: illustrative. Sources: S02. Illustrative figures are teaching examples, not measured factory results.
Closing an event should require evidence that the proposed response changed the relevant condition. For a material interruption, delivery of the correct released component is more useful evidence than a message saying that the store was contacted. For a mechanical interruption, a brief production check should accompany the repair record. A recurrence should link to the earlier event so that repeated temporary restoration remains visible as an unresolved cause.
¶ 01
Keep scheduled exclusions outside the tree only under a declared planning policy. GFT recommends freezing that policy before the reporting period and showing excluded time beside the OEE result. Reclassifying a difficult production interval afterwards changes the opportunity against which the factory is judged. The following chapter develops the broader time base; the requirement here is that every exclusion can be explained and reproduced from the original schedule.
¶ 02
At shift handover, GFT proposes transferring open events with their observed state, current response, outstanding verification and next decision owner. An interruption crossing the handover should remain a connected event even if its elapsed minutes are allocated between reporting periods. Starting a fresh event without a link would hide its total duration; leaving all time in the earlier shift would distort the later shift. The event identity and the period allocation serve different purposes and should both survive aggregation.
¶ 03
Use separate fields for immediate restoration and prevention of recurrence. Production can restart while a material-routing problem still awaits redesign. Conversely, an investigation can identify a credible cause while production remains stopped awaiting a part. Neither condition should be compressed into a single closed status. GFT recommends that the review ask whether production capability returned, whether the cause is established, and whether the preventive action has been checked under comparable work.
¶ 04
2.33 min · 10 paragraphs · read with a related exhibit
Performance losses include slow work and micro-stops
Related · chapter 1010 paragraphs step it
Related exhibit 50 · chapter 10Ranked barsillustrativeThe smallest lot leaves little room for extra restart loss
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Method and source
All inputs illustrative, from the preceding batch-window case. Spare time per setup = (800-minute available window - occupied time after improvement) / setup count. Lots 600/300/150 use occupied times 640/680/760 and setup counts 2/4/8, giving 80/30/5 minutes. This allowance applies only to losses not already counted in setup or effective running rate.
Unit: illustrative extra minutes available per setup. Status: illustrative. Sources: S25. Illustrative figures are teaching examples, not measured factory results.
Research by Sonmez and colleagues explicitly identifies uncertainty in OEE components when production speeds and stoppage durations are captured manually or semi-automatically. Its abstract also discusses ignored minor stops, idling and speed losses.[S07] GFT's practical implication is to treat performance as a measured residual that needs investigation, rather than automatic proof of insufficient effort.
Under the proposed convention, running time still contains brief interruptions that the protocol leaves below the separately timed stop threshold. Performance compares the ideal time represented by completed work with that running interval. The threshold therefore changes the division between availability and performance. It should be selected for reliable observation and useful response, recorded in the protocol and kept stable through the comparison. It is not a device for improving either component.
Consider an illustrative operation with 450 planned minutes, 45 minutes of recorded downtime, 300 completed units and an assumed ideal cycle of 1 minute per unit. Running time is 405 minutes and ideal production time is 300 minutes. Performance is 300 / 405, approximately 74.07 per cent. Its residual is 105 minutes. That residual could contain brief stops, slow handling, count error or an unsuitable cycle assumption; the arithmetic alone cannot divide it among those explanations.
In the same illustrative case, assume observation identifies 15 minutes of brief stops within that residual. Moving those minutes into downtime gives running time of 390 minutes. Availability changes from 90.00 to approximately 86.67 per cent, while performance changes from approximately 74.07 to 76.92 per cent. Their product remains 300 / 450, approximately 66.67 per cent. A changed component score has not recovered any output. Preserve both the old and revised classification when definitions change.
Do not subtract the same brief stop twice. If it has already reduced the running-time denominator, it must not also be deducted as a separate performance-minute loss. Conversely, if it remains in running time, the performance residual already includes its effect. The event register may tag the interruption in either treatment, but the reconciliation must identify which branch carries its duration. The source log should be richer than the additive loss account without making the account non-additive.
GFT recommends an observation check before modifying the ideal cycle. Confirm the product, operation, machine, attachment, method and output unit. A cycle based on a different seam length or different handling requirement is a different comparison. An apparent result above the approved maximum should trigger a count, clock and standard review. Silently capping the result would hide the discrepancy; quietly loosening the standard would reward it. The next chapter treats the relationship with standard minutes in detail.
For the proposed capture method, make the threshold observable with the tools actually available. A rule requiring precise timing that a paper log cannot support will create apparent precision rather than better decisions. Trial the rule against direct observation and ask whether different observers classify the same event consistently. If they do not, simplify the state definitions or improve capture before attaching consequences to the component score. The measurement-uncertainty research supports exposing these limitations rather than concealing them in a point estimate.[S07]
Treat missing short-stop causes differently from missing short-stop time. If output, cycle basis and running time are trustworthy, the performance residual can be calculated even while its causes remain unknown. If the clock or count is unreliable, the residual itself is uncertain. GFT recommends marking these situations separately: the first needs diagnostic observation, while the second needs record repair. Combining them in an uncoded loss bucket would obscure which kind of work could make the account more useful.
Use short observation samples to test the residual's composition, with their limits recorded. A sample of stable running does not establish how often interruptions occur across a shift. A sample taken during a difficult change does not describe normal method speed. GFT proposes retaining the observation conditions alongside the estimate and reporting an unresolved balance where the sample cannot explain all lost time. False precision in cause allocation is less useful than an honest residual with a named follow-up.
Interlude · the cloth half-woven
5 exhibits carry this chapter's argument.
Woven: sections 2.0 to 2.3Still to weave: 2.4 to 2.6
2.0%Sales lost by affected Cameroon firmsReported sales value lost to outages in Cameroon in 2024 (S0302)
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Method and source
Sourced from World Bank research and Enterprise Survey indicators: unconditional average revenue-based total factor productivity (TFP) gap for outage-exposed manufacturers across 84 developing countries, 2006 to 2019 (S36); share of surveyed Cameroon firms experiencing electrical outages in 2024 (S0301); and average value lost due to electrical outages as a share of sales for affected Cameroon firms in 2024 (S0302). Cross-country and sector-aggregate figures are context, not a single-factory garment forecast.
Exhibit 08 · illustrativeA declared loss account closes at accepted output
Planned
Planned: total 450. Running total 450 illustrative ideal-cycle-equivalent minutes · illustrative
The apparel study by Koç and Eryürük describes quality as the share of defect-free units and discusses the contribution of fabric and stitching faults to rework and scrap.
Accepted: total 285. Running total 285 illustrative ideal-cycle-equivalent minutes · illustrative
The method behind it: Worked example: the loss account must close.
Method and source · Exhibit 08
Illustrative assumed inputs: T=450 min, D=45 min, c=1 min/unit, N=300 units, G=285 first-pass units. R=405; performance loss=405-300=105; quality equivalent=1*(300-285)=15; accepted equivalent=285. Formula structure from S02. Assumed data are not factory observations.
Unit: illustrative ideal-cycle-equivalent minutes. Status: illustrative. Sources: S02. Illustrative figures are teaching examples, not measured factory results.
2.4 · the bodyExhibit 08 above; its figures are illustrative where marked.
The apparel study by Koç and Eryürük describes quality as the share of defect-free units and discusses the contribution of fabric and stitching faults to rework and scrap.[S09] GFT proposes counting first-pass accepted output at a declared checkpoint for the loss tree. This preserves the difference between completing an operation and producing an acceptable result. Final disposition and recovered rework should remain visible in a companion quality ledger.
Define a completed unit before defining its acceptance. A unit can carry several defects while still being a single rejected completion. Counting defects as rejected units would confuse defect frequency with yield. Similarly, counting an item again every time it returns for repair would inflate total completions. The proposed rule is a unique first completion for the primary cohort, linked repair events for subsequent work and a final disposition that cannot erase the original first-pass failure.
¶ 02
The following illustrative worked example uses assumed inputs to reconcile the full tree. Its accepted units are first-pass good units at the operation checkpoint. All units have the same assumed cycle basis, the completed cohort has a known disposition, and there is no opening or closing inspection backlog. These restrictions make the arithmetic transparent; a live factory must account for departures from them.
The waterfall in Exhibit 8 expresses that illustrative account on a common equivalent-time basis. Only the downtime segment is necessarily a directly timed interval. The other deductions translate output shortfalls into ideal-cycle minutes so that the tree reconciles without mixing physical minutes, pieces and defects.
For pending inspections, GFT recommends reporting a provisional output cohort with its unresolved quantity rather than treating uninspected units as accepted. When results arrive, update the cohort and retain the revision date. A shift-of-production view and a shift-of-inspection view answer different questions. Their reconciliation should explain why the acceptance record changed, especially when repairs or inspections cross a reporting boundary.
¶ 05
Acceptance criteria also need a stable version. GFT proposes recording the product specification and inspection rule used for the cohort, together with any authorised concession. A relaxed rule can raise accepted output without changing production capability. A stricter rule can lower apparent quality while revealing defects previously missed. Neither should be hidden inside an unexplained trend. Retain the original classification and disclose the rule change so that operating improvement and changed acceptance remain distinguishable.
¶ 06
Apply the same discipline to material downgraded for another use. The primary process should retain its original acceptance outcome, with the alternative disposition recorded separately. Otherwise a commercial recovery can erase the signal that the operation failed its intended requirement. This is a proposed measurement convention, not a valuation rule. Determining whether recovery has economic value requires actual saleability, costs and product restrictions, which the OEE quality component cannot establish by itself.
¶ 07
The proposed first-pass rule is deliberately conservative about recovered work. A repaired unit may become saleable, but the time and intervention consumed remain operationally relevant. Report recovered output separately and avoid charging the same repair twice in a combined economic account. If a repair uses the measured station during planned production, its time must enter that station's operating account consistently with the chosen completion rule. Quality detail and inspection deployment belong to the dedicated quality chapters and paper.
¶ 08
2.52 min · 8 paragraphs · 2 exhibits
OEE values are not automatically comparable
The NIST standards-meeting report explicitly records multiple OEE definitions, interpretations and calculations.[S03] The ISO catalogue describes manufacturing KPIs through formulas, elements, time behaviour and units.[S01] Together these sources support disclosing the measurement protocol before comparing scores. They do not establish that a vendor dashboard and a factory spreadsheet become equivalent merely because both display the label OEE.
The protocol table in Exhibit 9 is GFT's proposed disclosure minimum. It deliberately uses a table rather than numerical scoring: the questions are categorical and a plausible-looking coordinate would add no evidence. A comparison is usable when the records answer the same questions or can be recalculated onto a common basis.
Exhibit 09RegisterillustrativeComparison requires a shared measurement contract
Field
Boundary
Disclose
Asset and checkpoint
Comparison risk
Different operations
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Open the full register (6 rows)
Boundary
Asset and checkpoint
Different operations
Time
Plan and exclusions
Shrinking denominator
Cycle
Unit, style, version
Changing standard
Waiting
Input and power rule
Hidden external loss
Brief stops
Capture threshold
Component migration
Quality
Rework and pending rule
Inflated good output
Method and source
Illustrative GFT comparison protocol informed by ISO's KPI description requirements, NIST's definition warning and measurement-uncertainty research. Fields are recommendations, not a claim of formal ISO conformity.
Unit: proposed disclosure fields. Status: illustrative. Sources: S01, S03, S07. Illustrative figures are teaching examples, not measured factory results.
Aggregation also needs the underlying opportunity. For an illustrative pair of comparable shifts, assume accepted ideal-time equivalents of 225 and 90 minutes against planned times of 450 and 150 minutes. Their individual OEE results are 50 and 60 per cent. The pooled result is (225 + 90) / (450 + 150), or 52.5 per cent, rather than the unweighted average of 55 per cent. Both shifts must still share the same measurement meaning for that pooled result to be useful.
¶ 01
assume accepted ideal-time equivalents of 225 and 90 minutes against planned times of 450…illustrative
For mixed styles, GFT proposes calculating accepted ideal-time equivalents within each homogeneous operation and style segment, then retaining the segment denominators when aggregating. Piece counts should not conceal changes in work content. A revised cycle standard should have an effective date and a reason. Compare performance under a stable standard, or recalculate the earlier period where records permit. Without that bridge, report a break in the series rather than treating the difference as improvement.
¶ 02
Published cases are useful as bounded observations. NIST MEP reports OEE increasing from 39 to 45 per cent in a CNC-lathe maintenance case, while the apparel study reports Company X moving from 42.91 to 52.27 per cent with process monitoring and digital line balancing. These are different settings, measures and interventions. The paired endpoints in Exhibit 10 preserve each report without ranking their effectiveness or proposing a common target.[S08][S09]
Exhibit 10Before and aftersourcedReported gains remain within their case boundaries
01 / 02
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Method and source
S08: CNC-lathe TPM case, published 4 October 2022, page updated 11 April 2026. S09: apparel Company X, published 26 July 2025. Endpoints reproduce reports; methods and exposure differ. S09's displayed baseline components multiply to about 42.24%, not its reported 42.91%; see adjacent qualification. No pooled effect or GFT result is inferred.
Unit: reported OEE, per cent. Status: sourced. Sources: S08, S09.
The apparel source itself requires caution: its displayed baseline component rates for Company X are 73.04, 64.64 and 89.46 per cent. GFT's multiplication of those published inputs gives approximately 42.24 per cent, rather than the reported 42.91 per cent. The exhibit retains the reported headline; the discrepancy remains unresolved. It is not a rounding adjustment made by this chapter, and the published headline should not calibrate a factory model without reconciliation.[S09]
For a local improvement claim, GFT recommends preserving a comparable baseline, the intervention record and the post-change observation conditions. Disclose changed products, schedules, standards and inspection rules. Show component movements alongside accepted output and the relevant loss events. This establishes what the comparison permits without pretending that a before-and-after chart alone proves causation. A maintenance action and a simultaneous release-policy change cannot be separated by the headline score.
¶ 02
Before accepting a supplier's OEE comparison, GFT proposes asking for a worked reconciliation using a disclosed observation period. Request the included schedule, the stopped intervals, the cycle basis, the completion count and the acceptance count. If these cannot reproduce the displayed result, the score should remain unqualified for comparison. The request is a definition check, not a demand for confidential production detail: an anonymised or illustrative record can demonstrate how the calculation works without establishing an achieved factory result.
¶ 03
2.63 min · 9 paragraphs · read with a related exhibit
A low machine score can originate outside the machine
NIST's standards discussion recommends considering raw materials, supply chains, scheduling and other operational factors when designing manufacturing diagnostics.[S03] GFT applies that system perspective to the proposed loss tree. A machine can be capable of running while its production boundary records lost opportunity because suitable input never arrived. That distinction matters for action, even when the arithmetic properly includes the waiting interval.
Use an illustrative starvation scenario to separate measurement location from intervention location. Assume a station has 450 planned minutes but lacks released cut panels for 90 minutes. It then runs for 360 minutes at an assumed cycle of 1 minute per unit, completing 360 accepted units. Availability is 80 per cent, performance and quality are each 100 per cent, and OEE is 80 per cent. On these assumptions, a mechanical repair has no identified loss to remove; material release is the first investigation.
¶ 02
The same illustrative numbers could describe a station that was mechanically stopped for 90 minutes and otherwise ran perfectly. The component scores would be identical. The cause records distinguish the situations, and the investigation tests whether the proposed action can recover the affected interval. An OEE alert should therefore link to the event account, not directly generate a maintenance instruction from the score.
¶ 03
…that was mechanically stopped for 90 minutes and otherwise ran perfectlyillustrative
GFT recommends a practical diagnostic sequence. Verify the boundary and records, identify the largest credible loss, inspect the relevant production condition, assign an owner with authority over that condition, and define the observation that would demonstrate recovery. If the condition is unresolved or outside local authority, escalate it explicitly. Do not alter the metric to make the problem appear controllable by the person receiving the dashboard.
¶ 04
Prioritisation should also consider system effect. A station's lost opportunity does not automatically equal lost finished garments. For the proposed method, ask whether the interval constrained downstream accepted output or was absorbed by available stock and later recovery. Keep the station loss visible either way. This chapter does not calculate the line's constraint or optimal buffer; the subsequent balancing and flow chapters provide those decision methods. Here the essential safeguard is to avoid valuing every local minute as an identical shipment loss.
¶ 05
Design the review so that admitting uncertainty improves the record. GFT recommends showing uncoded time, unresolved inspections, corrected counts and cycle-standard exceptions alongside the components. A supervisor should be able to challenge a record before it becomes a target or personnel judgement. Preserve the original entry and the reason for correction. These controls turn the data trace into something the production team can inspect, rather than a separate narrative imposed after the shift.
¶ 06
Select corrective actions against the identified mechanism. For the proposed review, state which loss category should change, which underlying event should become less frequent or shorter, and which accepted-output observation should confirm the effect. Also name a condition that would invalidate the claim, such as a changed product basis or unresolved inspection backlog. If the component improves while the underlying event persists, investigate reclassification before celebrating recovery. This makes the review useful even when an initial intervention fails.
¶ 07
For the GFT OEE and sewing-line simulator, the proposed interface should expose the same assumptions as the paper method. Show planned time, exclusions, downtime, cycle basis, completed output, first-pass acceptance and unresolved quantities before displaying the calculated score. Let a user inspect how a changed stop threshold redistributes components while holding output fixed. Let an input-starvation scenario carry a materials response. These are design recommendations; this chapter does not claim a tested or deployed simulator.
¶ 08
The managerial test is consequently practical: can the team move from a low component to a verified condition, a responsible response and a comparable output check? If it cannot, the score is still a signal requiring investigation. If it can, the loss tree has become an operating instrument. It preserves the production warp and the measurement weft together: the work creates the record, and the record points back to a change in the work.
¶ 09
Check the record
The chapter keeps its sources within reach.
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.
6 sources · 22 citation marks on this pageMost cited: S02, 7 times
Grade AGrade BGrade CKnot size: citations on this page
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c02-S01 · Grade A
International Organization for Standardization
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.
2014-01. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
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.
2020-03. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
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
1.1
1.2
1.3
1.4
1.5
1.6
01Part I: Measure the factory that actually exists
Utilisation decides whether installed capacity becomes good garments
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.
1.1Nameplate capacity is not saleable output
1.2Local processing raises the premium on operating discipline
1.3Three measurement lenses answer different questions
A sewing line is a dependent system, not a row of independent stations
Balancing begins with operation precedence and required output, then tests how work can be shared without violating machine, skill or quality constraints.
5.1The operation bulletin is the balancing unit
5.4Takt translates demand into a line rhythm
5.7Pitch and cycle are related but not interchangeable
5.8Precedence limits which operations can be combined
Lean flow converts balanced work into shorter throughput time
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.
9.1Pull authorises production from downstream need
9.2Single-piece flow changes the visibility of problems
Changeover and layout determine whether small batches pay
Small batches become practical when style changes are short, methods are standard and the layout lets qualified operators share work around the constraint.
10.1SMED separates stopped work from work done while running
10.2Changeover reduction releases capacity without new machines
10.3Standard work stabilises the new method
10.4Cells make task reassignment physically possible
14Part IV: Turn measurement into sustained performance
A gated roadmap turns the first line into a learning system
Release the next commitment only when a measured trial shows that good throughput, safe work and controlled flow survive ordinary operating conditions.
14.1First, freeze definitions and capture the baseline
14.2Second, stabilise standard work and the constraint
14.3Third, reduce batch and changeover losses together