Eighteen machines do not always mean eighteen usable stations
A factory has eighteen machines in four groups. Its planning sheet calls for thirteen staffed stations, so the order appears easy to place. Yet the lockstitch work will miss its target. One machine cannot perform the method, and another is under repair. Only seven trained operators are available for eight usable stations.
This invented case shows why machine requirement calculation starts with more than a count. Demand belongs to a particular operation, method and period. Capacity depends on machines that can do the work. The right people, tools and support must be available at the same time.
A useful plan joins these two views. It converts the product mix into required work and checks the usable calendar. It then tests whether the work can fit in sequence. The result may support a purchase. It may instead call for a repair, a different shift assignment or a revised delivery plan.
Begin with the operation and its time basis
An operation standard needs a defined method, material and machine setup. It must also state the required quality. A standard minute value from a similar style may help with an early plan. Mark it as an estimate until the team checks the method.
Use the operation-level time that matches the resource being planned. A garment’s total sewing SMV can estimate broad labour demand. It cannot tell you how many buttonhole machines are needed unless the buttonhole work is separated from the rest.
At an attended station, sewing is only part of the work. The operator also positions, turns and removes the piece while using that station. If the approved station standard covers that full cycle, it can support a station-capacity calculation. The assumption changes when a machine runs automatically while the operator works elsewhere.
The Lean Enterprise Institute defines machine time and operator time as distinct measures. It also explains effective machine cycle time. Loading, unloading and the share of changeover time can matter as much as automatic sewing. A motor-speed figure alone omits those tasks.
ApparelDiary’s guide to SMV calculation explains how to establish a defensible work standard. The capacity task begins once that standard has a clear scope and an approved version.
Keep standard minutes and clock minutes distinct
Standard minutes describe the work content on the chosen standard basis. Clock minutes describe the time available in the calendar. A planning achievement factor connects them when actual output differs from standard output.
In this article, a factor of 0.75 has a precise meaning. One staffed station earns an expected 0.75 standard minutes per available clock minute. It does not mean the motor runs for exactly 75% of the shift. The factor must come from comparable work and a consistent denominator.
For one attended operation with interchangeable stations:
Required station equivalents = target quantity × standard station minutes per piece ÷ available standard minutes per station.
Available standard minutes per station = net scheduled clock minutes × planning achievement factor.
When the work must fit within the period, round the resulting requirement up to a whole station. That is an initial capacity check. It does not prove that staffing, sequence or shared tools will allow the plan to run.
Establish the available time before applying a percentage
A shift label does not tell the whole capacity story. Start with the actual operating calendar. It must show planned breaks, maintenance and setup windows, plus other known limits on use.
Avoid subtracting the same loss twice. A historical achievement factor may already cover routine changeovers within its time base. Subtracting them again would count the same loss twice and understate capacity. If a new, unusually long setup is outside that historical basis, ignoring it may overstate capacity.
Write the convention beside the calculation. In the main example below, each staffed station has 450 net scheduled minutes after the planned exclusions. Its achievement factor is measured against that same net-time basis. Known exclusions are therefore not deducted a second time.
The factor should reflect the relevant operation and conditions. A mature repeat style may differ from a new construction. A specialist operation may differ from the line average. Use evidence from comparable runs and show the effect of a lower result when the estimate is uncertain.
Microsoft’s work-centre setup documentation illustrates why these definitions matter in software. Calendars, capacity and efficiency settings affect planning, and time units require care. Its “day” unit represents 24 hours, rather than an assumed eight-hour working day. Check the behaviour of the system actually in use.
Convert a mixed order book into resource demand
Assume the factory plans 600 units of Style A and 400 units of Style B in one day. The table covers four selected machine groups, not the complete garment route. The standard times are invented for this example and must not be used as production benchmarks.
Each time covers all attended station work in that group for one garment. At this stage, assume that the relevant stations in each group can use the required methods.
Machine group | Style A minutes per piece | Style B minutes per piece | Required standard minutes |
|---|---|---|---|
Lockstitch | 2.10 | 3.40 | 2,620 |
Overlock | 0.90 | 0.60 | 780 |
Bartack | 0.18 | 0.30 | 228 |
Buttonhole | 0.00 | 0.45 | 180 |
For lockstitch, the demand is:
600 × 2.10 + 400 × 3.40 = 2,620 standard minutes.
The same method applies to each group. A zero means the style does not use that group in this example. It does not mean the operation takes no time on every garment of that broad product type.
The benefit of using minutes is clear when the mix changes. The same thousand-piece order can create very different machine demands. A style with many buttonholes needs capacity that a style without them never uses. Coats Digital’s planning guidance makes a related distinction. Standards for each product and shared capacity limits are separate inputs. Any general loading range still needs local validation.
Calculate the first capacity requirement
Apply the assumed achievement factor for each group to its 450-minute net calendar.
Group | Achievement factor | Standard minutes per station | Station equivalents | Whole stations |
|---|---|---|---|---|
Lockstitch | 0.75 | 337.5 | 7.763 | 8 |
Overlock | 0.80 | 360.0 | 2.167 | 3 |
Bartack | 0.85 | 382.5 | 0.596 | 1 |
Buttonhole | 0.80 | 360.0 | 0.500 | 1 |
The selected groups require thirteen staffed stations on this basis. Lockstitch needs eight because 2,620 ÷ 337.5 = 7.763, rounded upward. Seven stations provide only 2,362.5 standard minutes, leaving a shortage of 257.5.
With eight stations, lockstitch load is 2,620 ÷ 2,700 × 100 = 97.0% of the calculated capacity. That small margin makes the assumptions worth testing. It does not set a loading rule for every group. The remaining margin may not absorb every disruption.
Test uncertainty where it changes the decision
For the same 2,620-minute workload, three hypothetical achievement assumptions produce different requirements:
Assumed factor | Standard minutes per station | Whole stations needed |
|---|---|---|
0.65 | 292.5 | 9 |
0.75 | 337.5 | 8 |
0.85 | 382.5 | 7 |
This is a sensitivity check, not a prediction that the factory will achieve any of these values. It shows that the staffing and machine decision depends on the factor. What evidence supports 0.75? The planner also needs a response if the run is closer to 0.65.
For a new style, a daily learning profile may be more useful than one factor for the whole order. The first two days can carry a different assumption from a later repeat run. Keep those assumptions attached to their dates so a monthly average does not conceal an early delivery risk.
Match the requirement to the machine inventory
The factory now checks its equipment and staffing. “Compatible” means the machine can perform the approved operation with the required setup. “Serviceable” means it is available for use under the maintenance and safety controls. “Staffed” means a suitably qualified operator is assigned for the stated time.
Group | Installed | Compatible | Serviceable | Staffed | Required |
|---|---|---|---|---|---|
Lockstitch | 10 | 9 | 8 | 7 | 8 |
Overlock | 4 | 4 | 4 | 3 | 3 |
Bartack | 2 | 2 | 2 | 1 | 1 |
Buttonhole | 2 | 1 | 1 | 1 | 1 |
The counts narrow from left to right in this example. Every staffed station is also serviceable and compatible. The factory has eighteen installed machines but only twelve staffed stations in the selected groups.
The immediate lockstitch shortage is not an equipment purchase requirement. There are eight compatible, serviceable machines and seven assigned operators. A verified staffing change could close the arithmetic gap, provided it does not create a shortage elsewhere.
An idle overlock operator is not automatically qualified for the required lockstitch method. An unassigned machine may still lack the right folder, gauge or programme. Its workstation may also need changes. Record the missing condition instead of placing every idle asset into a generic spare-capacity total.
Microsoft’s operations-resource model treats machines, workers, tools and other resources separately. Its scheduling logic matches requirements with capabilities and calendars. The same distinction helps in a spreadsheet. A machine and its required operator need separate records, even though the plan links them.
Compatibility needs evidence
Machine family names are a starting point. Check the needle system, feed and sewing area. The needed attachments and material limits may narrow the usable group further.
For example, JUKI’s AMS-221EN range includes models with different sewing areas. Its stated maximum sewing speed also depends on stitch pitch. These are model-specific conditions, not capacity values for every pattern-sewing operation.
Before approving a substitute machine, try the required method on the actual material. Check the output against the approved quality criteria. Record the result and any setup changes. A short demonstration may prove that a machine can make the seam. It may not prove the sustained station time used in the plan.
Decide where pooling is feasible
Rounding each operation separately can produce more stations than a shared group needs. Combining all minutes before rounding can produce too few. The right answer depends on whether the tasks can actually share capacity.
Consider two compatible tasks requiring 180 and 150 standard minutes. Each fits within one station’s 337.5-minute standard capacity, so a dedicated arrangement uses two stations. Together, they require 330 standard minutes, which appears to fit one pooled station.
Now suppose that shared station has 450 clock minutes before a fifteen-minute changeover. The achievement factor of 0.75 applies to net production time and excludes that separately planned setup.
Net standard capacity = (450 − 15) × 0.75 = 326.25 minutes.
The workload exceeds capacity by 3.75 standard minutes. At the assumed factor, that equals five clock minutes. The one-station plan no longer fits. This small example shows why rounding is not the only issue: setup and the time basis can change the decision.
Pooling also depends on readiness. If both tasks need output during the same early time window, a full-day total may hide a clash. If one task must wait for an upstream operation, the pooled station may be idle before the work arrives and overloaded later.
Put resources in the same planning group only when they can share the relevant work. Where only one machine has a required attachment, create a narrower constraint within the group. Do not let spare minutes on unrelated machines conceal that shortage.
Include quality-related workload on the right route
Define what the production target counts. It may refer to units started, completed operations or accepted garments. Those quantities can differ when work is repaired or scrapped. A capacity plan needs the work required to deliver the stated target.
Consider a separate example with 1,000 usable garments. The plan expects twenty of them to need one extra bartack repair. If that repair takes 0.25 standard station minutes, it adds five standard minutes to the bartack group. It does not add twenty complete garments to every operation in the route.
Scrap may require replacement units and a different calculation. Identify where replacement work starts and which earlier operations must be repeated. A rejected finished garment and a replaced component do not necessarily consume the same resources.
Use the expected repair pattern as a planning assumption and compare it with actual results. Check whether the achievement factor already covers that repair work. If it does, adding the work again may count the loss twice. The model needs one consistent treatment, with enough detail to explain where the quality loss uses capacity.
Check shared resources on a time schedule
A machine can support several lines, but its minutes cannot be promised to each line at the same time. A booking record should name the work and assigned resource. Add the earliest ready time, required finish and setup period.
The booking should reserve supporting resources too. Two pattern machines may share one validated clamp set. Two lines may depend on one mechanic for a planned changeover. An apparently free machine may lack the matching tool or support window.
The first capacity table identifies total demand. A time schedule tests whether that demand can be placed. Microsoft’s finite-capacity guidance explains this scheduling step. Existing reservations and resource limits affect where new work can fit. The details depend on the software setup, so an unchecked default can still allow overbooking.
For a spreadsheet plan, start with the few resources that limit the order. Reserve confirmed jobs before adding a proposed order. Include the actual sequence and known setups, then check the upstream material-ready dates. Leave any unresolved clash visible rather than assigning the same free hours twice.
ApparelDiary’s linear programming guide for sewing-line balancing addresses a related allocation problem. A balance model needs the resource and time data established here. It cannot supply a missing machine or train an operator.
Automatic equipment requires separate labour and machine calculations
An automatic cycle can release an operator for other work, but it does not release the machine. A labour standard alone may therefore understate equipment demand.
Take a simplified, loss-free timing example. A cycle occupies a machine for 0.8 minutes. Loading and unloading take 0.3 minutes, while automatic running takes 0.5 minutes. The operator is actively required for the 0.3-minute portion. The target is 900 cycles within 450 minutes.
The equipment workload is 900 × 0.8 = 720 machine-minutes. At least two machines are needed on this timing basis. The direct operator workload is 900 × 0.3 = 270 operator-minutes, which appears to fit one person’s calendar.
That does not yet prove that one operator can serve both machines. Manual tasks may need attention at the same moment. Walking may add time, and quality checks may overlap with the automatic cycle. The layout and method need a sequence that can repeat safely. Required quality checks must still fit.
Use a timing chart or observed trial to test the overlap. Include loading, unloading, travel, checks and the response to an abnormal stop. Apply any planning losses on a defined basis after establishing the cycle. Do not multiply a labour-only SMV by quantity and call the result machine occupation.
Product mix can change the answer without changing total pieces
Return to the main example. Demand stays at 1,000 garments, but the mix changes from 600 Style A and 400 Style B to 300 Style A and 700 Style B.
Lockstitch demand becomes:
300 × 2.10 + 700 × 3.40 = 3,010 standard minutes.
At 337.5 standard minutes per station, the requirement becomes 3,010 ÷ 337.5 = 8.919, rounded to nine. The same piece target now needs one more lockstitch station than before.
The inventory table shows only eight compatible, serviceable machines. This time a staffing move alone cannot close the gap. Could a repaired or substitute machine be ready in time? If neither is feasible, the planner must review the production window and delivery commitment.
Raising the achievement factor on paper is not a recovery action. Eight stations would need about 83.6% achievement over the same 450-minute calendar to cover this revised workload. That is materially above the assumed 75%. A measured method improvement might support a new factor, but the order should not depend on an unexplained target increase.
Treat each shift as its own capacity record
A second shift does not automatically double capacity. It may have a different length, skill mix, maintenance window or performance history. Some tools or support staff may be available on only one shift.
Suppose eight lockstitch stations run for 450 net minutes at a 0.75 factor on the first shift. Six stations can run for 300 net minutes at a 0.65 factor on the second. Their combined planned capacity is:
8 × 450 × 0.75 + 6 × 300 × 0.65 = 3,870 standard minutes.
The second shift adds 1,170 standard minutes, not another 2,700. Confirm that the named machines, people and supporting resources can cover those hours. A handover or maintenance task that spans the shift boundary must also appear in the calendar.
Any extra hours must meet the applicable working-time rules and employment terms. This calculation only describes a possible resource window. It does not approve overtime or confirm that a person can work those hours.
Test the estimate before turning it into a purchase request
A machine shortage can be temporary, recurring or structural. Those cases call for different evidence. A two-day overlap between styles does not create the same investment case as a sustained shortage across the confirmed order book.
Review the proposed remedy against the actual constraint. Repair may restore compatible capacity sooner than delivery of a new machine. A shared booking may work if the deadlines permit it. Training may address a skill gap, but its completion date and qualification result must support the plan.
A purchase proposal should explain what the machine must do and when the shortage occurs. Show its expected use and the other options considered. Include installation, tools, operator readiness and acceptance time. An ordered machine has no production capacity until the factory can use it under the required conditions.
The capacity-investment decision guide can support the next economic step. Keep the operating evidence separate from the financial conclusion: a real shortage does not by itself establish which investment has the best value.
Keep the capacity record current
Each planning row needs the method version, product mix and required standard minutes. Add the usable calendar, achievement basis and compatible resources. It should also show staffing and shared-resource restrictions that prevent the nominal capacity from being used.
Before approving a revised sheet, check the time units and quantity basis in each imported field. A value recorded per dozen must be converted before it is multiplied by a piece quantity. A cycle time in seconds must become minutes if the calendar uses minutes. Label these conversions in the input record so they can be checked without guessing from the size of the answer.
After production, compare the estimate with the actual run. Separate wrong standards, missing resources, late material and unusual events. A lower output figure alone does not reveal which assumption failed.
Update the relevant input when evidence supports it, while retaining the earlier plan for comparison. This gives the next planner a reasoned capacity estimate rather than another unexplained percentage. The machine list then shows what work the factory can perform and when. It also shows which conditions must be met first.
References
Lean Enterprise Institute. Cycle time and related time definitions.
Microsoft Learn. Set up work centres and machine centres.
Microsoft Learn. Operations resources, calendars and capabilities.
Microsoft Learn. Finite capacity planning and scheduling.
Coats Digital. Multi-product capacity planning for Bangladesh RMG factories.




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