Practical guide · Quality management
How to reduce scrap and rework: a worked month from 12 reason codes
Short answer
Count scrap and rework apart for one month, with one reason code for every affected unit. Cost them: scrap is the units times what each unit had cost by the step where it was found, rework is the units times the extra minutes times the labor rate. Rank the codes by cost as well as by count, because the most common defect is often cheap and the dearest one rare. Then look at where each defect is made against where it is found, and move the check to the step that makes it. Choose the tool by pattern: a capability study for drift, a supplier corrective action request for bought-in defects, poka-yoke for mistakes people can repeat. Contain this week, fix the cause, and read the same Pareto again after 30 and 90 days. The worked example below does this for 6,000 housings.
Step 1: set the counting rules, then read the month
This example is illustrative, not from a real plant. A machining cell makes aluminium valve housings: a casting is bought in, machined, deburred and washed, a bushing is pressed in, and each housing gets a final inspection and a pressure test. The month is 20 shifts and 6,000 housings started. Every cost below is made up for the example, so replace them with your own.
Two rules are written down before the month starts. First, scrap and rework are counted apart. Scrap is a housing that cannot be made good and is thrown away. Rework is a housing made good by extra work. They cost differently (the whole housing against some minutes) and they have different fixes, which is why one combined defect count hides the answer. The definitions are ours, in plain words; the scrap rate glossary entry and the first pass yield calculator draw the same line. Second, every affected housing gets one code, the one that decided its fate: a housing reworked and then scrapped is scrap. The same codes and the same rule apply every month, or next month will not compare with this one.
| Step | Adds | Cost so far |
|---|---|---|
| Foundry and receiving (casting bought in) | $14 | $14 |
| Machining | $9 | $23 |
| Deburr and wash | $2 | $25 |
| Bushing press-in | $3 | $28 |
| Final test and pack | $1 | $29 |
Illustrative. Each step adds material, or labor and machine time. Extra work on a reworked housing is costed at $60 an hour, $1 a minute.
What one housing has cost by the end of each step
Example numbers- Foundry and receiving$14
- Machining$23
- Deburr and wash$25
- Bushing press-in$28
- Final test and pack$29
That table is the start of every cost sum below. A housing scrapped at final test has cost $29, not the $14 of its casting. Here is the month: 12 reason codes, six for scrap and six for rework, with the step where the defect was made and the step where it was found.
| Code | Reason | Scrap or rework | Housings | Made at | Found at | Extra work each |
|---|---|---|---|---|---|---|
| S1 | Bore oversize | Scrap | 74 | Machining | Final test and pack | None |
| S2 | Casting porosity | Scrap | 86 | Foundry and receiving | Machining | None |
| S3 | Bushing pressed crooked | Scrap | 29 | Bushing press-in | Bushing press-in | None |
| S4 | Broken tap in thread | Scrap | 18 | Machining | Machining | None |
| S5 | Leak at pressure test, cause not known | Scrap | 21 | Not known | Final test and pack | None |
| S6 | Damaged in handling | Scrap | 10 | Final test and pack | Final test and pack | None |
| R1 | Burr at cross hole | Rework | 312 | Machining | Final test and pack | 4 min |
| R2 | Coolant residue | Rework | 133 | Machining | Final test and pack | 5 min |
| R3 | Bushing not fully seated | Rework | 96 | Bushing press-in | Bushing press-in | 3 min |
| R4 | Thread needs chasing | Rework | 77 | Machining | Final test and pack | 8 min |
| R5 | Scratch or handling mark | Rework | 58 | Final test and pack | Final test and pack | 6 min |
| R6 | Marking missing or wrong | Rework | 42 | Final test and pack | Final test and pack | 5 min |
Illustrative numbers. One code per affected housing.
Step 2: count scrap and rework, and the first pass yield
Add up the housings under each treatment. 238 were scrapped and 718 were reworked: 956 of the 6,000 housings started needed something done to them.
| Measure | Value | How it is worked out |
|---|---|---|
| Housings started | 6,000 | 20 shifts |
| Scrapped | 238 (4.0%) | S1 to S6 added up, then 238 ÷ 6,000 |
| Reworked | 718 (12.0%) | R1 to R6 added up, then 718 ÷ 6,000 |
| Good the first time | 5,044 | 6,000 - 238 - 718 |
| First pass yield | 84.1% | 5,044 ÷ 6,000 |
| Good housings shipped | 5,762 | 6,000 - 238: reworked housings are good again |
Illustrative numbers.
The two yields tell different stories. Counting the reworked housings as good, 5,762 of 6,000 came out good, 96.0%, and the cell looks fine. First pass yield leaves the reworked ones out, so it shows 84.1%: about one housing in six was reworked or thrown away. Track both, and let the first pass yield carry the rework. The first pass yield calculator does this sum for a series of steps and the scrap rate calculator does the first line for any period.
Step 3: put a cost on each
Counts say how often, cost says how much it hurt. Two formulas cover the whole month. Scrap cost is the housings times what one housing had cost by the step where it was found. Rework cost is the housings times the extra minutes each times the labor rate.
- Scrap, S1 bore oversize: 74 housings × $29 (cost up to final test) = $2,146. Counting only the $14 casting would give $1,036 and miss $1,110 of machining and labor already in the part.
- Rework, R1 burr at the cross hole: 312 housings × 4 minutes × $1 a minute = $1,248.
- Month: scrap $6,249 and rework $3,375, together $9,624.
| Treatment | Housings | Share of housings | Cost | Share of cost |
|---|---|---|---|---|
| Scrap | 238 | 24.9% | $6,249 | 64.9% |
| Rework | 718 | 75.1% | $3,375 | 35.1% |
| Together | 956 | 100.0% | $9,624 | 100.0% |
Illustrative numbers. Scrap is costed at the step where each housing was found; rework at $1 a minute.
Three in four affected housings were reworked, but two dollars in three went on scrap. The rework still took 3,375 minutes of extra labor, just over seven eight-hour shifts of one person, and that time was not spent making new housings. A report that only counts defects would send the team after rework first. Costing the codes first is what changes the order.
This is the internal failure part of the cost of quality: scrap, rework and the like, found before the product reaches the customer. The COPQ calculator and the COPQ worksheet add the other three categories (prevention, appraisal and external failure).
Step 4: Pareto by count, then by cost
Sort the 12 codes twice. By housings, the burr at the cross hole (R1) is first with 312 of the 956 affected housings, 32.6%, and the top three codes are all rework, 56.6% between them. By cost, the order changes. Bore oversize (S1, $2,146) and casting porosity (S2, $1,978) are 42.9% of the month's $9,624, and the burr drops to third at $1,248.
By housings
Example numbers- R1: 312, 33% of the total, cumulative 33%.
- R2: 133, 14% of the total, cumulative 47%.
- R3: 96, 10% of the total, cumulative 57%.
- S2: 86, 9% of the total, cumulative 66%.
- R4: 77, 8% of the total, cumulative 74%.
- S1: 74, 8% of the total, cumulative 81%.
- R5: 58, 6% of the total, cumulative 87%.
- R6: 42, 4% of the total, cumulative 92%.
- S3: 29, 3% of the total, cumulative 95%.
- S5: 21, 2% of the total, cumulative 97%.
- S4: 18, 2% of the total, cumulative 99%.
- S6: 10, 1% of the total, cumulative 100%.
By cost
Example numbers- S1: 2146, 22% of the total, cumulative 22%.
- S2: 1978, 21% of the total, cumulative 43%.
- R1: 1248, 13% of the total, cumulative 56%.
- S3: 812, 8% of the total, cumulative 64%.
- R2: 665, 7% of the total, cumulative 71%.
- R4: 616, 6% of the total, cumulative 78%.
- S5: 609, 6% of the total, cumulative 84%.
- S4: 414, 4% of the total, cumulative 88%.
- R5: 348, 4% of the total, cumulative 92%.
- S6: 290, 3% of the total, cumulative 95%.
- R3: 288, 3% of the total, cumulative 98%.
- R6: 210, 2% of the total, cumulative 100%.
| Code | Reason | Housings | Rank by housings | Cost | Share of cost | Cumulative |
|---|---|---|---|---|---|---|
| S1 | Bore oversize | 74 | 6 | $2,146 | 22.3% | 22.3% |
| S2 | Casting porosity | 86 | 4 | $1,978 | 20.6% | 42.9% |
| R1 | Burr at cross hole | 312 | 1 | $1,248 | 13.0% | 55.8% |
| S3 | Bushing pressed crooked | 29 | 9 | $812 | 8.4% | 64.3% |
| R2 | Coolant residue | 133 | 2 | $665 | 6.9% | 71.2% |
| R4 | Thread needs chasing | 77 | 5 | $616 | 6.4% | 77.6% |
| S5 | Leak at pressure test, cause not known | 21 | 10 | $609 | 6.3% | 83.9% |
| S4 | Broken tap in thread | 18 | 11 | $414 | 4.3% | 88.2% |
| R5 | Scratch or handling mark | 58 | 7 | $348 | 3.6% | 91.8% |
| S6 | Damaged in handling | 10 | 12 | $290 | 3.0% | 94.8% |
| R3 | Bushing not fully seated | 96 | 3 | $288 | 3.0% | 97.8% |
| R6 | Marking missing or wrong | 42 | 8 | $210 | 2.2% | 100.0% |
Illustrative numbers, sorted by cost. The scrap cost uses the cost per housing at the step where it was found.
Read the two charts together. The count chart shows what happens most; the cost chart shows what hurts most. Neither is the answer. The burr is the cheapest to fix by hand (4 minutes), and it repeats 312 times, so it is still worth a place on the list, but the first hour of the team's time goes to the two scrap codes. Notice also that S5, a leak with no known cause, is 6.3% of the cost: a code that says cause not known is a job for better records, not a place to guess.
A Pareto chart template is the sorting tool, and the defect check sheet is how the counts get written down on the floor. Where several people count, agree what each code means before the month starts: the defect catalogue holds the definitions and the boundary samples.
Step 5: where each defect is made against where it is found
Every defect has two places: the step that made it and the step that found it. The cost of scrap grows with the distance between them, because each step in between adds work to a housing that is already bad. For the scrap codes where the origin is known, the table prices that distance.
| Code | Made at | Found at | Cost as found | Cost if found where made | Extra from finding it late |
|---|---|---|---|---|---|
| S1 | Machining | Final test and pack | $2,146 | $1,702 | $444 |
| S2 | Foundry and receiving | Machining | $1,978 | $1,204 | $774 |
| S3 | Bushing press-in | Bushing press-in | $812 | $812 | $0 |
| S4 | Machining | Machining | $414 | $414 | $0 |
| S5 | Not known | Final test and pack | $609 | Cannot say | Cannot say |
| S6 | Final test and pack | Final test and pack | $290 | $290 | $0 |
Illustrative numbers. Cost if found where made = housings × cost per housing at the making step. The known extra, $1,218, is 19.5% of the $6,249 scrap cost.
Two codes carry all of it. The oversize bores (S1) are made at machining but found at final test, because the bore gauge at the machine is checked one housing in 50 and the rest wait for the end of the line. The porosity (S2) is made at the foundry and found only when the cut opens it. Moving the check changes the cost without making a single extra good part: gauge the bore more often at the machine, and check the first cut of each casting lot at receiving.
Shigeo Shingo's three kinds of inspection, as a university paper summarises them, name the pattern. Judgement inspection compares a finished product with the standard at the end of the process and rejects what fails; it does not prevent the defect. Informative inspection feeds what it finds back to the process, by statistical checks, by the next process or by the operator checking their own work. Source inspection catches the error and gives feedback before the next step, so the error does not become a defect, and it is done by people or by error-proofing devices. S1 and S2 are being found by judgement inspection. The aim is to move each check toward the source.
Rework is not in this table, because its cost is the minutes whenever it is found. Finding a burr late does not change the 4 minutes; it means more housings carry the burr by the time anyone sees it, and a few may slip through. The table cannot price that, so it is listed as a limit below.
Step 6: match the tool to the pattern
The top two causes by cost need different tools, which is why one general scrap-reduction project often stalls. Read each code as a pattern, then choose.
| Pattern in the month | Kind of problem | Start with |
|---|---|---|
| S1 bore oversize: the same defect, growing over a run, found late | A process that drifts and a check that comes too late | A process capability study on the bore, a 5 whys on why the gauge check is 1 in 50, and a tool-change interval set from the data |
| S2 casting porosity: arrives inside the bought-in material | A supplier-made defect | A supplier corrective action request, the incoming inspection checklist, and a hold on the lot meanwhile |
| S3 crooked bushing and R3 not seated: a person or a fixture can get it wrong again | A mistake that can be made impossible or obvious | The poka-yoke worksheet and the poka-yoke guide |
| S5 leak, cause not known | Missing information | Record where, when and on which machine with the defect check sheet, define the leak in the defect catalogue, then run a 5 whys or an 8D report |
| R1 burr: cheap each time, but 312 times | Rework built into the process | Change what the machining step leaves behind, then take the hand deburr out of the route |
| A code that mixes causes | A reason list that is too coarse | Split it into codes by cause before the next month starts |
Take S1 first. It is the dearest code, it is made and found inside the cell, and nobody outside the plant has to agree to the fix. Run S2 beside it, because it needs a different person (supplier quality) and a different clock (the foundry's reply). Give the burr to the operators and the team leader as the third job. A non-conformance report and a CAPA log keep the actions and dates for each.
Step 7: contain this week, fix the cause, then remove the containment
Containment protects the next process and the customer while the cause is still there: sorting suspect stock, adding a check, holding a lot. It does not remove the cause. Root cause work does, and when it works the containment is taken away. Plan both for each of the two top codes, with the date the containment ends.
| Code | Containment (temporary) | Root cause work (permanent) | Remove the containment when |
|---|---|---|---|
| S1 bore oversize | Gauge the bore on 1 housing in 10 instead of 1 in 50 at the machine | Capability study on the bore; set a tool-change interval from tool-wear data; ask why the check was set at 1 in 50 | Three months in a row at the new level |
| S2 casting porosity | Cut and check the first castings of every lot at receiving, and hold a lot that shows voids | Supplier corrective action request to the foundry; agree an incoming inspection plan in the control plan | The foundry's fix is verified on three lots |
Containment costs money every month it stays. For S1, 6,000 housings at 1 in 50 is 120 gauge checks a month, and at 1 in 10 is 600: 480 more. At an assumed one minute a check and $1 a minute that is $480 a month, about the same as the $444 that finding S1 late cost. A stopgap that costs as much as the problem is a reason to hurry the root cause work, not a fix.
The order of work in the cost of quality primer read for this guide is the same: find the largest contributors, use a Pareto analysis to find the main reasons for each, ask why until the root cause of each is clear, start corrective action, then keep monitoring the cost element to confirm it went down. The monitoring is not optional, and it is the next step.
Step 8: read the same Pareto at 30 and 90 days
Read month two with exactly the same rules: the same codes, the same one-code-per-housing rule, the same 6,000 housings (or counts per 1,000 started if the volume changes). Compare code against code, not only the totals, because one-off events move the total.
| Code | Reason | Month one | Month two | Change | Noise band (±) | Beyond noise? |
|---|---|---|---|---|---|---|
| S1 | Bore oversize | 74 | 21 | -53 | 19.5 | Yes |
| S2 | Casting porosity | 86 | 52 | -34 | 23.5 | Yes |
| S3 | Bushing pressed crooked | 29 | 27 | -2 | 15.0 | No |
| S4 | Broken tap in thread | 18 | 16 | -2 | 11.7 | No |
| S5 | Leak at pressure test, cause not known | 21 | 19 | -2 | 12.6 | No |
| S6 | Damaged in handling | 10 | 9 | -1 | 8.7 | No |
| R1 | Burr at cross hole | 312 | 118 | -194 | 41.5 | Yes |
| R2 | Coolant residue | 133 | 98 | -35 | 30.4 | Yes |
| R3 | Bushing not fully seated | 96 | 91 | -5 | 27.3 | No |
| R4 | Thread needs chasing | 77 | 62 | -15 | 23.6 | No |
| R5 | Scratch or handling mark | 58 | 55 | -3 | 21.3 | No |
| R6 | Marking missing or wrong | 42 | 14 | -28 | 15.0 | Yes |
Illustrative numbers for both months. Noise band = 2 × the square root of (month one + month two).
Counts of random events move on their own from month to month, so a drop needs to be bigger than that movement before it counts as a change. A rough rule: if nothing had changed, two monthly counts differ by more than twice the square root of their sum only about one time in twenty. That is our rule of thumb, not from a source, and it is fair for counts of about 10 or more. By it, S1, S2, R1, R2 and R6 fell beyond noise. The other seven (S3 to S6, R3, R4 and R5) did not, so the drop in R4, from 77 to 62, is not yet a result.
Two of the real changes need a question. R6, the marking, fell from 42 to 14 and R2, the coolant residue, from 133 to 98. Suppose nobody worked on either. A change beyond noise on an untouched code still has a cause, such as a different wash cycle or a new coolant, so find it before taking credit for it, or losing it when the cause goes away.
| Measure | Month one | Month two |
|---|---|---|
| Scrapped housings | 238 (4.0%) | 144 (2.4%) |
| Reworked housings | 718 (12.0%) | 438 (7.3%) |
| First pass yield | 84.1% | 90.3% |
| Scrap cost | $6,249 | $3,741 |
| Rework cost | $3,375 | $2,131 |
| Total cost | $9,624 | $5,872 |
Illustrative numbers. Month two uses the same cost per housing and $1 a minute.
The month saved $3,752 on paper, and that is a number to check before trusting. Read the costs against the volume and the mix, and only count a saving the finance department would agree is real. Then make the gain stick. Do the same Pareto at 30 days, at 90 days and again after a year. Call a code fixed only after three months in a row at the new level (our rule, in the same spirit as the noise band). Write the new check into the control plan so it survives the next staff change, and take the containment away on the date you set. If a code climbs back above its old band, open it again.
What this method cannot tell you
- The counts are only as good as the codes. If two people use R2 and R4 for the same fault, the Pareto is wrong however neat the arithmetic. Write each code down with a boundary sample, train the counters, and check a few by eye every week.
- Costs here use a flat labor rate and an average of extra minutes. Time a few real reworks and use your own cost per step from your accounts; do not reuse these figures.
- Scrap that is sold or recycled brings some money back. This example does not subtract it. Do, if your records show it, and say so.
- Hidden costs are real and are not in the example: inspection time, expediting, extra material handling, overtime, the capacity taken up by rework, and the risk that a defect found late slips through. One university paper on the cost of quality names the hidden factory, where a worker keeps correcting a defect so that a good part goes downstream and the cause is never looked at; another is a scrap allowance built into a cost standard, which keeps scrap from being counted as a cost of its own.
- Defects that reach the customer are external failure costs and are not in this month, which only counts what was found inside the plant.
- One month is one sample. Small counts are noisy, and a fix that shows after one month may be luck. That is why the plan reads 30 and 90 days.
- If a defect could be put in either category (say, an item that is reworked but then downgraded), pick one rule and keep it. Consistency matters more than which choice was made.
Definitions and sources
- Cost of quality categories: prevention, appraisal, and failure split into internal (before delivery) and external (after delivery). Scrap, rework, reinspection, redesign, troubleshooting and downgrading are internal failure costs. Read in Robert B. Austenfeld Jr., The Cost of Quality: A Primer, Papers of the Research Society of Commerce and Economics (Shudo University), Vol. XLVI No. 2, 2005, which summarises the ASQ Quality Costs Committee's Principles of Quality Costs (Campanella, ed.) and Gryna's Quality and Costs chapter in Juran's Quality Control Handbook.
- The order of work, the scrap Pareto by reason and its cost, the advice to keep monitoring the cost element after the fix, and the hidden costs: the same primer, sections 6 and 7.
- Judgement, informative and source inspection, and error-proofing as a means, not an end: Kumar and Watt, Teaching Zero Quality Control Concepts in Mechanical Engineering Technology, University of North Texas, ASEE conference paper, summarising Shigeo Shingo's Zero Quality Control.
- Scrap rate and first pass yield: the site's scrap rate calculator, first pass yield calculator and glossary. First pass yield counts the housings that came through with no rework, repair or scrap.
- What was not read: the books themselves (Campanella, Juran, Shingo) are cited through the two papers, and no industry average for scrap, rework or cost of quality is quoted here, because none could be traced to a primary study.
Go deeper
This page is the short version. These guides cover each part in full.
- Manufacturing Defects: Types, Root Causes, and PreventionThe kinds of defect and their usual causes, to help you write the reason codes this page counts.
- Cost of Poor Quality: Calculation and Reduction FrameworkAll four cost categories, not only the internal failures worked here, and how to reduce them.
- First Pass Yield: Definition, Calculation, and ImprovementFirst pass yield across several steps, and rolled throughput yield.
- Pareto Analysis in Manufacturing: Applying the 80/20 Rule to Problem SolvingBuilding and reading a Pareto chart, and the mistakes that send a team after the wrong bar.
- 5 Whys: Root Cause Analysis Method for ManufacturingTaking a top code, like the oversize bore here, from symptom to root cause.
- 3 Types of Poka-Yoke: Choosing the Right Method for ManufacturingThe error-proofing methods behind the crooked bushing and the seating fault.
- Why Defects Still Reach Customers Despite Quality ControlWhat happens when a defect is found late, or not at all, and the external failure costs this page leaves out.
All our articles on this subject are in the quality management topic.
Free templates and tools
- Cost of poor quality (COPQ) worksheetCost of quality by prevention, appraisal, internal and external failure, with COPQ as a share of sales.
- Defect check sheetTally defects by type and day, with units inspected, defect rates, a location sheet and the week's Pareto.
- Defect catalogue template with boundary samplesEvery defect with a definition, a class and the reason for it, measured accept and reject limits by zone, boundary samples, a defect log with DPU and Pareto, and an inspector agreement check.
- Pareto chart templateA tally sheet, the Pareto by count and by cost with the cumulative line and the 80% cut, and a before and after comparison. Excel sorts and draws it.
- 5 Whys templateA problem statement, a why chain that can branch, evidence for every answer, root causes and countermeasures that are checked.
- Poka-yoke worksheetEach step's errors and what they cost, the device (approach, function, method), payback, and a log that proves each device works.
- Supplier corrective action request (SCAR) formA SCAR from the problem and containment asked for to the supplier's 8D-style response, verification and closure.
- Incoming inspection checklistReceiving inspection checks from paperwork to sample, the sampling plan, the decision, and an Excel log by supplier.
- Non-conformance report (NCR) formA two-page NCR from the requirement against what was found to disposition and closure, and an Excel NCR log.
- CAPA log templateAn Excel CAPA tracker with status, days open, late flags and counts by source, plus a printable log and monthly review.
- Control plan templateWhat is checked at each step, against which limits, how, how often, and what to do when a result is out.
- Scrap rate calculatorScrap rate, the cost of scrap per period and per year, and what reaching a target rate would save.
- First pass yield (FPY) calculatorFirst pass yield at each step and rolled throughput yield (RTY) across the whole process.
- Cost of poor quality (COPQ) calculatorTotal COPQ and cost of quality, and each as a share of revenue, from the four quality cost categories.
- Process capability (Cp, Cpk) calculatorCp and Cpk against your specification limits, plus Pp and Ppk from pasted measurements, with a distribution chart.
Doing this in LeanSuite
Cost of Poor Quality
Pulls your scrap, rework and return data together, puts a dollar cost on each defect and shows engineering what to fix first.
See Cost of Poor QualityQuality Improvement
Log quality issues from the floor, trace each one to its root cause and follow the corrective action through to closure.
See Quality ImprovementNon-Conformance (NCR)
Moves non-conformance reports into an automated workflow and links each defect report to root-cause problem solving.
See Non-Conformance (NCR)
See it on your own lines
Bring the problem you are working on to a 45-minute demo. Or look around with sample data first, or pilot LeanSuite on your own lines for 90 days, with the setup done by our team.
FAQ
Questions about reducing scrap and rework: a worked month
Start from a month of your own counts, with one reason code for every scrapped unit. Put a cost on each code: units times what a unit had cost by the step where it was found. Rank by cost, not only by count, then check whether the defects are found where they are made, because scrap found late costs more. Choose the tool by pattern: a capability study for a drifting process, a supplier corrective action request for a bought-in defect, poka-yoke for a mistake that can be repeated. Contain it now, fix the cause, and read the same Pareto at 30 and 90 days.
Scrap is a unit that cannot be made good and is thrown away, so it costs the whole unit up to the step where it was found. Rework is a unit made good by extra work, so it costs the extra labor and time. Count them apart, because their costs and their fixes differ. Both are internal failure costs in the cost of quality, found before the product reaches the customer.
Scrap cost is the number of scrapped units times what one unit had cost, in material and labor and machine time, by the step where it was found. Rework cost is the number of reworked units times the extra minutes each times the labor rate per minute. In the worked example, 74 housings found at final test at $29 each is $2,146, and 312 housings reworked for 4 minutes at $1 a minute is $1,248.
Yes. First pass yield counts only the units that come through with no rework, repair or scrap, so every reworked unit lowers it. In the worked example 5,762 of 6,000 housings were good at the end (96.0%) but only 5,044 were good the first time (84.1%). The gap is the 718 reworked housings that a final yield figure hides.
Look at both, then start with the most costly one you can act on. The most common defect is often cheap to fix by hand and low in cost per unit; the dearest is often a scrap code found late. In the worked example the burr is first by count and third by cost, and the two scrap codes lead by cost. Cheap, frequent rework still deserves a third job for the operators.
Read the same Pareto, with the same codes and rules, at 30 and 90 days. Small counts move on their own, so a drop is only a change if it is bigger than about twice the square root of the two counts added together. Call a code fixed after three months in a row at the new level, and take the containment away only then.
More method guides
- The 6 Ms of production
- Poka-yoke
- Model area 90-day plans
- Moving from Excel to one system
- Reducing machine downtime: a worked month
- Andon and jidoka
- Cycle time vs lead time, worked through
- Root cause analysis
- How many operators a line needs
Or browse the topics, the full library and the lean glossary.
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