Kanban on a Shoestring: Two Bin Replenishment Without Buying a New ERP

Posted on by Adam Payne

Somebody has sent you a quote for £60,000. Maybe it arrived on a Monday morning, about ten minutes after you found out that a line had been standing idle waiting for a box of M8 washers that cost less than the biscuits in the meeting room.

I’ve been in that room. Not the same one, obviously, but close enough. I’ve walked into more stores cages than I care to count where a perfectly capable team was losing hours every month to parts worth pennies, and where the proposed fix was a piece of software with a project plan, a data migration and a go live date that everybody quietly assumed would slip.

I want to be fair here. An ERP can be a very good thing. If you need proper bills of materials, job costing, traceability and one version of the truth across sales, purchasing and finance, it might be exactly what your business needs, and £60k isn’t a silly number for it. But that’s not the problem that landed on your desk this morning. The problem is that things run out. Cheap, boring, everyday things.

For that specific problem, there’s a method that’s older than most ERP vendors, needs no software and can be running on your shop floor by the end of next week. Two bins and a card.

This is a practical build guide. We’ll cover which items are worth putting on it, how to size the bins, where the card should live, and what to do in the first month when, and I’ll be honest with you, people will forget. They always do. It’s fine. It’s part of how you get there.

Why a £60k system might be answering a different question

Start with the money, because it matters. For a UK manufacturer with somewhere between ten and fifty people, one buyer’s guide puts a realistic first year budget at £20,000 to £100,000, depending on how complicated the operation is. So your quote isn’t outrageous. It’s just a lot of cash to spend on something that may not touch the actual problem. FactoryIQ

Then there’s the risk side. One 2026 analysis of discrete manufacturing projects (written by an ERP consultancy, so take it with a pinch of salt) reports that around 73 per cent fail to meet their objectives, with average cost overruns of 215 per cent. I wouldn’t tattoo those numbers on your arm. But I’ve seen enough go lives to know the direction of travel is about right.

Here’s what I’d want you to think about. Most stockouts on most shop floors don’t come from a shortage of software. They come from cheap consumables and small components that nobody has been asked to watch. Fasteners, gaskets, abrasives, sleeving, labels, cable ties, that sort of thing. And an ERP only knows what’s on the shelf if somebody books stock in and out. Picture how likely that is for a bag of washers at half past two on a Friday afternoon. Yes. Exactly.

That’s the quiet flaw in using a system to fix a discipline problem. The software’s reorder point is only as good as the stock count underneath it, and the stock count for low value parts is usually the least accurate number in the building. A two-bin system sidesteps the whole thing. There’s no transaction to forget, because the empty bin is the transaction.

None of this is new, either. Taiichi Ohno developed pull replenishment at Toyota, and the kanban card owes a good deal to the older two bin method, where emptying the first bin sends a card to purchasing. You may have heard the story about Ohno having a lightbulb moment in an American supermarket. Apparently, that’s a bit tidier than the truth. His 1956 trip was a business visit to study car plants and equipment suppliers, with the supermarket as a side trip. I quite like that, actually. The idea didn’t need a grand moment of inspiration. It just needed somebody to notice that an empty container is already a perfectly good message.

Which items qualify (and which really don’t)

You won’t put everything on this system, and you shouldn’t try. Not every part in your building deserves the same treatment.

The tidy way to think about it is ABC analysis. Rank your parts by annual spend, and you’ll usually find that the C items, the cheap ones, make up about half of your part numbers but only five to ten per cent of the value. Those are your candidates. They’re the parts that cause the most nuisance and tie up the least cash.

You don’t need a system to work this out. Export twelve months of purchase lines from Xero, Sage or whatever you use. Multiply unit price by quantity, sort from highest to lowest, and look at the bottom half. That’s an afternoon’s work at most, and I’d say it’s less if you’re comfortable with a spreadsheet.

But there’s a better filter than the spreadsheet, and it’s free. Ask your supervisors and your buyer one question: what did we run out of in the last six months? The list writes itself in about ten minutes. The best candidates are usually the parts people already swear about.

Then run each candidate through five quick tests.

Steady demand. It gets used most weeks, in roughly similar amounts. If it’s used in a burst once a quarter, it’s not a two-bin part.
Low value per unit. A spare bin of them shouldn’t make your finance director wince.
Short, dependable lead time. Your supplier delivers in days, not weeks. Catalogue items from a wholesaler are ideal.
Physically binnable. It fits in a tote, a box, a bag or a marked shelf space you can point at.
Used in a known place. One or two locations, not scattered across three buildings.

And what doesn’t qualify? Anything engineered to order. Anything with a long or unpredictable lead time. Expensive components where holding a second bin is a real cash decision. Project driven parts that spike with a big job. And anything where you need batch traceability, because two bins won’t give you that. Those parts need proper records, and that might be where a future ERP genuinely earns its money. I’m not being dogmatic about it. Kanban isn’t a religion.

Now the bit people always want to skip. Don’t start with all four hundred C items. Pick a handful. Most guides suggest piloting on a small number of parts before rolling it out across the warehouse, and I agree completely. I’d say fifteen to twenty-five items is about right. Include a few of the ones that hurt most, so people see the benefit quickly, and a few boring ones that will work first time and build a bit of confidence. Those early wins matter more than you’d think.

Sizing the bins without needing a degree in statistics

The maths is gentler than people expect. The logic goes like this: when the front bin runs out, the reserve bin has to keep you going until fresh stock arrives. So the reserve needs to cover your daily usage multiplied by the time it takes to get replacement stock, plus a bit extra for when things go wrong. Most guides boil it down to daily usage times lead time, plus safety stock.

I’d tweak that in one small way. Lead time isn’t only your supplier’s delivery time. It’s everything between the bin emptying and new stock being on the shelf, and that includes the time the card spends sitting in a tray waiting for someone to notice it. So here’s the version I’d actually use:

Bin quantity = daily usage × (your own delay + supplier lead time in working days) + safety stock

Let’s make it real. Say you use stainless M8 bolts at about 60 a day. Your supplier delivers three working days after you order. Your own delay, the time between the bin emptying and the buyer placing the order, is about a day. That’s 60 × 4, which is 240. Add 25 per cent for safety, which is another 60, and you get 300. The supplier sells in boxes of 100, so that’s exactly three boxes per bin. Lovely. Rare, but lovely.

If it doesn’t divide that neatly, and it usually won’t, round up to the nearest whole pack. A bin that’s slightly oversized costs you pennies. A stockout costs you an hour of a line.

Now, where does the daily usage number come from? There are two routes. The careful one is to track real usage for at least two to four weeks before you fix any quantities. Count what goes out, or count empties, or ask the operators to tally on a bit of paper stuck to the shelf. The lazy but surprisingly decent one is to take your annual purchased quantity from the purchase ledger and divide it by the working days you actually run. For most UK sites that’s somewhere around 225 once you take out weekends, bank holidays and leave. It won’t be perfect, but it’ll be closer than a guess, and a lot closer than what most people put in an ERP’s reorder field.

For the safety margin, I’d go 25 per cent for reliable suppliers and up to 50 per cent for patchy ones. And in month one, lean towards too big rather than too small. You can trim later once you’ve got real evidence.

Then run one last sanity check. The time it takes to get through a bin has to be longer than the time it takes to reorder and receive replacements, otherwise the second bin could run dry before new stock arrives. In our example, 300 bolts at 60 a day lasts five days against a four-day replenishment loop. That gives you one day of breathing space. Good.

Two practical points that catch people out. First, check the bin can physically hold the quantity. I’ve seen beautifully calculated numbers that needed a bin the size of a wheelie bin. If it doesn’t fit, use a bag, a marked shelf, or a bigger container, or reconsider whether it belongs on the system at all. Second, watch out for minimum order quantities. If your supplier only sells 1,000 at a time, your bin size might need to be 1,000, and now it’s a different conversation about cash and space.

Sanity check the cash too. Three boxes of bolts at around 9p each is £27 of stock per bin, so £54 across the pair. For genuinely cheap C class parts, the total stock you’re holding is usually a small number. Do the sum for your own list. It’s a useful moment, to be honest, because it shows just how little money is tied up in the things that stop your line.

Where the card goes, and why it’s the whole system

The bins get all the attention. But the card is the actual system. The card is the message. If it goes missing, you’ve just got two boxes on a shelf and a false sense of security.

On the card itself, keep it plain. You want the part number and a description in the words your team actually uses, not the catalogue’s. Add the supplier and their product code, the bin quantity and pack size, the lead time, where the part lives, who orders it, and the date the size was last reviewed. Colour code it by supplier or by buyer if you can. Laminate it or slip it in a clear pocket, because shop floors are grubby places and paper doesn’t last a week without help.

Here’s the loop, and I’d suggest pinning it up where everybody can see it:

The operator uses up the front bin.
They pull the card and drop it in the collection point, then slide the reserve bin forward.
The buyer collects cards at set times, orders one bin’s worth, and moves the card to an “on order” board with the date written on it.
When the delivery arrives, goods in refills the empty bin and puts the card back on it.
The refilled bin goes to the back of the shelf and becomes the reserve.

Now, where does the card physically sit? For small loose parts, my favourite is at the bottom of the front bin. It’s revealed the moment the last item is taken, so nobody has to remember anything. The empty bin practically announces itself. For bulkier items, where a card in the bottom would get buried, use a clear pocket on the shelf edge or the front face of the bin.

The collection point matters as much as the card. Put it somewhere people walk past anyway. A clear wall pocket at the end of the aisle, a small letter tray by the stores hatch, something like that. Not on the buyer’s desk in the office. Every step you add between the empty bin and the buyer is another place the card can quietly die.

The “on order” board is worth the ten minutes it takes to make. Two columns will do, “to order” and “on order”, with the date the order went in. When a card has sat under “on order” for longer than the lead time, it’s obvious. You’ll spot a late delivery before your operators do, which is a nice change.

Then think about your buyer’s rhythm. If cards get collected at nine and two every day, your own delay in the formula is roughly half a day to a day. If they get collected on Fridays, it’s a week, and every bin you sized needs to grow. This is the sort of detail that quietly wrecks a system that looked perfect on paper.

And here’s the honest weakness. A paper card can be dropped, borrowed or wiped, and an empty bin nobody actioned looks the same as a full one until the line starves. That’s true, and I’d rather you knew it now. The method is sound. The card carrying it is fragile. So build in one simple rule: a bin without a card is a red flag, and a card without a bin is a red flag. Then have the owner do a two-minute walk of the pilot area each day for the first few weeks, looking for exactly those two things.

The first month: what to do when people forget

People will forget. I say that with real affection. It isn’t laziness, it’s just that you’re asking a busy team to change a habit they’ve had for years, and habits are stubborn.

I remember helping a site where the cards kept vanishing. Somebody would find an empty bin, no card, and the buyer had no idea what to order. We spent a week suspecting sabotage, or at least a mild lack of enthusiasm. It turned out they were being taken home in overall pockets and going through the wash. We switched to cards fixed to the bin with a cable tie and the problem stopped inside a day. Nobody had done anything wrong. The system had just made it easy to walk off with the card.

That’s the mindset I’d encourage. When something goes wrong, don’t ask who forgot. Ask what the system made easy.

Before you start, give it an owner. A name, not a department. The advice from people who’ve done this is blunt: without a clear owner, the system collapses the first time somebody goes on holiday. Decide who checks the cards, who orders, and who covers when they’re away. Write it on the board.

Then here’s roughly how I’d shape the first four weeks.

Week one: sit with it. Walk the pilot area twice a day. Most problems show up on day two, and they’re usually small and slightly embarrassing. A bin in the wrong place. A card with a typo in the supplier code. A reserve bin that’s actually half empty because it was never filled properly at the start. Fix things on the spot and thank people for pointing them out.

Week two: resize. By now you’ll have a few real cycles of data. Some bins will be too small (you’ll know, because you nearly ran out) and some too big (because they haven’t moved in ten days). Adjust quantities and update the cards. This is the week that turns a guess into a system.

Week three: deal with the awkward bits. Holiday cover, night shift, agency staff who weren’t there for the briefing. This is also when the odd behaviours emerge, so watch for them. There are usually four.

Someone slides the reserve bin forward but leaves the card on it, so the buyer never sees it. Someone tops up the front bin from the reserve “to be helpful”, which quietly destroys the safety margin. Someone borrows a bin from another station and doesn’t bring it back. And the buyer, quite reasonably, batches cards until Friday because that’s when the orders go out anyway.

None of these is a disaster. Each one tells you where the design needs a small fix. Perhaps a sign on the shelf saying, “never top up from the reserve”, or a fixed collection time agreed with purchasing.

Week four: count and decide. Before you make any decision about expanding, gather three simple numbers. How many stockouts happened on the pilot items, compared with the month before? How many emergency or expedited orders did you place? And roughly how many minutes did your buyer spend chasing these parts? A tally sheet on the wall is plenty. You’re not building a dashboard. You’re just trying to have an honest conversation with some evidence in it.

If it’s worked, and in my experience, it usually does, add the next batch of items. If parts of it didn’t, you’ll know exactly which parts, and you’ll have spent a few hundred pounds finding out rather than sixty thousand.

Bringing it together

Two bins and a card won’t run your business. It won’t cost your jobs, schedule your machines or give you traceability on a critical component. It isn’t meant to.

What it will do is solve one specific, expensive, irritating problem, which is running out of cheap things. It works because the empty bin is the signal, so there’s no stock count to get wrong and no transaction to forget. You pick items that suit it, mainly steady, low value parts with short lead times. You size the bins using daily usage, a realistic lead time (including your own delay) and a sensible safety margin. You put the card where it can’t quietly disappear. And you give it a named owner and a month of patience while people find their feet.

If you still want an ERP after that, good. It’s a perfectly reasonable thing to want. But you’ll be buying it for the right reasons, to handle the complicated parts of the business, and you’ll have taken the daily nuisance of washers and cable ties off its plate. In fact, a well-run kanban loop for your C items can sit happily alongside a future system, doing the boring job it does best.

So here’s what I’d do this week. Ask your supervisors what you’ve run out of since March. Pick fifteen of the worst offenders. Do the sums on a single sheet of paper, buy a few dozen bins and a pack of card, and try it for a month. If it doesn’t work, you’ve lost very little. If it does, you might just find that the £60k conversation gets a lot shorter, and a lot more interesting.

Want a hand setting this up?

Reading a build guide is one thing. Putting it into practice on a busy shop floor, with real suppliers, real deadlines and a team who already have full-time jobs, is another. I know that.

If you’d like some support, we can do as much or as little as you need. We can walk your stores with you and choose the right pilot items, size the bins from your own purchase data, design the cards and the collection point, and stay involved through that awkward first month when people forget. There’s no software to buy and no six-month project plan to sign off. The aim is a working pilot on your shop floor within a couple of weeks.

If you’d like to talk it through, book a no obligation call with one of our team. Bring your list of things you keep running out of. That’s usually all we need to get started.

Cost of Quality Failures: A Practical Guide for UK Manufacturers

Posted on by Adam Payne

Picture the scene. You walk past the scrap bin on a Friday afternoon, more out of habit than curiosity, and you clock what’s sitting in it. Maybe you weigh it. Maybe you just eyeball it and do the maths in your head based on last month’s average cost per kilo. Either way you land on a number. Let’s say it comes to £5,000 for the month. Not brilliant, but not a crisis either. You mention it in the ops meeting, someone nods, and everyone moves on to the next item on the agenda.

Here’s the bit that catches most manufacturers out, and to be honest it caught me out too the first time someone walked me through it properly. That £5,000 isn’t your cost of quality failure. It’s not even close. It’s the bit you can see, weighed and priced at raw material cost, sitting in a skip by the loading bay. Everything that actually caused that scrap to exist in the first place, the machine time burned re running the job, the hours your best people spent sorting good parts from bad, the courier you paid extra to get a replacement batch to a customer by Thursday morning, none of that is in the bin. It’s scattered across half a dozen different cost codes, buried in overtime sheets, filed under “administrative time” on a job card, or in a lot of cases just never recorded anywhere at all.

Add it all up properly, and most plants find their real monthly figure sits three to five times higher than what they originally thought it was. Not because anyone’s hiding it on purpose. Just because nobody’s actually adding it up.

This matters more than it used to. Whether you’re running a job shop in the Midlands, a fabrication plant in the North West, or a small assembly operation anywhere else in the UK, margins are tighter than they’ve been for a while, and a hidden cost running at three or four times what you assumed is not a small thing to have sitting undiscovered in your numbers.

So that’s what this piece is for. We’re going to look at why the gap between the visible number and the real one exists, what’s actually hiding inside it, and then walk through a simple way to build a proper monthly figure for your own plant using numbers you probably already have sitting somewhere in your systems. By the end of this you should be able to sit down for twenty minutes with a spreadsheet and come out with a number that’s a lot closer to the truth than whatever’s written on the scrap sheet.

Why the scrap bin only tells you half the story

There’s a reason quality people keep reaching for the iceberg analogy. The bit above the water, the scrap, the obvious rework, the returned batch, is the bit everyone can see and everyone feels comfortable reporting. It’s tidy. You can weigh it, price it against your bill of materials, and put a clean number on a slide.

The trouble is the iceberg analogy actually undersells it a bit, because most icebergs sit roughly seven eighths underwater, and in plenty of the plants I’ve looked at over the years the hidden portion of quality cost runs even bigger than that relative to what makes it onto a report. Industry research puts the total cost of poor quality somewhere between five and thirty five per cent of sales revenue for manufacturers, with a lot of studies settling around fifteen to twenty per cent as a rough working average. Now compare that to scrap and rework on their own, which tend to sit somewhere under three per cent of revenue even at weaker performing sites. The gap between those two figures is where all the genuinely interesting stuff is hiding.

Why does it stay hidden for so long? Mostly it comes down to where the money actually gets spent, and how disconnected those places are from each other. Scrap sits neatly inside a manufacturing cost centre. Rework labour often gets coded as ordinary production time if nobody’s bothered to track it separately, because from the operator’s perspective they’re just doing their job. Expedited freight lands inside the logistics budget under something generic like “delivery costs,” with no note attached explaining it was a rush job caused by a batch that failed inspection three days earlier. The quality engineer’s Tuesday spent writing up a corrective action report doesn’t show up as a cost anywhere at all, it’s just treated as part of what a quality engineer does. None of it gets flagged as quality cost, because none of it is labelled that way anywhere in your finance system. They’re just costs, spread thin enough that nobody ever connects the dots between them.

I’ve sat in more than a few production meetings where this plays out almost exactly the same way. Someone flags that the scrap number’s up again this month, there’s a short discussion about the supplier, or the operator, or a machine that’s drifting out of tolerance, and then everyone moves on. What almost never happens is someone standing up and saying, right, but what did that actually cost us once you factor in the four hours we lost re running the job and the taxi fare we paid to get parts to the customer on time. That conversation just doesn’t happen, mostly because the information needed to have it properly isn’t sitting in one place for anyone to look at.

And to be fair, that’s not really anyone’s fault. Finance systems are built to track cost centres, not causes. It takes a deliberate effort to pull the threads back together into one figure, and most plants simply haven’t built that habit yet.

The six numbers hiding behind your scrap figure

Let’s break down what’s actually going on when a batch fails, because once you see it laid out properly it’s genuinely hard to unsee.

Material cost. This is the one you already know, and it’s the easy part. Raw material, purchased components, whatever went into the parts that ended up in the bin, priced at what you paid for it. It’s probably already sitting in your ERP system somewhere, tagged to a scrap transaction, assuming your system is set up reasonably well.
Machine time. Every hour a machine spends running a job that ends up scrapped, or re running a job because the first attempt failed, is an hour that machine wasn’t available for anything else. Price that time at your fully loaded machine rate, the figure that covers depreciation, power, maintenance and everything else, not just the labour standing next to it. If a job normally takes four hours and you end up running it twice, that’s four extra hours gone, and on a line that’s already busy that’s not a trivial number to lose.
Labour. Rework hours are the obvious one here, someone physically fixing or sorting parts, priced at a proper loaded rate that includes national insurance and other overheads, not just the basic wage. But don’t stop there. Think about the time spent writing the non conformance report, sitting in the root cause meeting, making the supplier call, chasing the corrective action afterwards. That’s all real, paid labour time, and it’s rarely coded anywhere as quality failure cost.
Re inspection. When something fails, you almost always end up inspecting more afterwards, either the reworked batch itself or the next few batches while everyone’s understandably nervous. That extra checking has a real cost, in hours and often in equipment time too if you’re tying up measurement kit that could be doing something else. It’s a cost that only exists because the process let you down once already and nobody quite trusts it yet.
Expedited freight. This one’s a personal favourite of mine because it’s so easy to miss and genuinely painful once you total it up properly. A batch fails, the customer still needs their parts on time, so you pay for next day courier instead of your usual pallet network, or you fly something in rather than shipping it by sea. That premium, the difference between what you’d normally have paid and what you actually paid, is a direct consequence of the quality failure. I’ve seen individual incidents where the expedited freight bill on its own was bigger than the material cost of the scrap that caused it in the first place.
Lost capacity. This is the big one, and it’s the category most plants leave out entirely. Every hour spent on rework or re running a failed job is an hour you didn’t spend making something you could actually sell. Value that lost time not at your machine rate, but at what that capacity would have earned you in contribution margin had it gone towards good saleable output instead. On a line that’s already running close to full capacity, this figure can dwarf everything else on the list, because you’re not just paying for the mistake, you’re also losing the profit you would otherwise have made in that same window of time.

A quick word of caution before you go filling in your own numbers. Machine time and lost capacity can overlap if you’re not careful, since they’re both really about the same lost hours, just viewed through two different lenses, one as a direct cost, one as an opportunity cost. Pick one lens for those specific hours and stick with it, or you’ll end up counting the same time twice and your final figure will look inflated rather than genuinely honest. Better to be conservative and defensible here than impressive and wrong.

Building your own number, step by step

Right, let’s actually do this. Grab a notebook, or better still, open a spreadsheet, because this is something worth keeping and repeating every month rather than doing once and filing away.

Step one. Total material scrapped this month, priced at cost. This should already exist somewhere as scrap transactions in your system. If it doesn’t for whatever reason, your finance team can usually pull it from stock write offs without too much trouble.

Step two. Machine hours lost to failed runs and re runs this month, multiplied by your fully loaded machine rate. If you don’t know that rate off the top of your head, ask finance. Most plants already have it calculated somewhere for costing purposes, even if nobody’s shown it to you directly before.

Step three. Labour hours spent on rework, re inspection, and quality admin, meaning non conformance reports, root cause work, and corrective actions, multiplied by your loaded labour rate. Be honest with yourself here. If your quality technician spent six hours on paperwork because of one bad batch, that’s genuinely six hours, even if it doesn’t feel like it at the time.

Step four. Extra freight cost this month, meaning the difference between what you’d normally pay to ship something and what you actually paid because it needed rushing. Your logistics team or your finance system should have this if you ask the right question, which is usually something like “what did we pay above standard rates this month, and why.”

Step five. Lost capacity hours, valued at contribution margin per hour rather than machine rate, remembering the double counting warning from the last section. If you’re not sure of your contribution margin per hour, it’s roughly your average selling price per unit minus your variable cost per unit, multiplied by units produced per hour on that particular line.

Add all five together and you’ve got your real monthly cost of quality failure.

Let’s run through it using the numbers from the start of this piece, just to make it properly concrete rather than abstract. Say your scrap bin comes to £5,000 for the month, material cost only, exactly like the example we opened with. Rework and re inspection between them come to ninety hours this month, and at a loaded labour rate of around £26 an hour that’s £2,340. Machine time lost to re running failed jobs comes to thirty five hours at a fully loaded machine rate of £38 an hour, adding another £1,330. You had three shipments that needed rushing this month to cover replacement batches, adding £650 above what you’d normally have paid for standard delivery. And your lost capacity, the hours that could have gone towards saleable output instead, comes to around £9,000, based on sixty hours of lost production time valued at roughly £150 an hour in contribution margin.

Add it up. £5,000 plus £2,340 plus £1,330 plus £650 plus £9,000 comes to £18,320 for the month.

That’s not £5,000. That’s a little over three and a half times higher, and honestly this is a fairly conservative example. Plenty of plants, especially ones with tighter margins per unit or more complex, longer running products, land at four or even five times their scrap figure once everything’s counted properly. If your own number comes out lower than that once you’ve done the exercise, it’s worth going back and double checking you’ve genuinely captured all five categories rather than quietly assuming your plant is somehow the exception to a pattern that shows up almost everywhere else.

What you do with the number once you’ve got it

Getting to a proper figure is only useful if it actually changes something afterwards. So what do you do with it once it’s sitting in front of you.

First, use it to build the business case you’ve probably struggled to make before now. Telling your finance director you want another inspection point, or a bit of preventive maintenance budget, or time for the team to do proper root cause work instead of constantly firefighting, lands very differently when you can say “our quality failures are costing us eighteen thousand pounds a month, and here’s exactly where it’s going” rather than “scrap’s felt a bit high lately, to be honest.” Numbers with a clear breakdown behind them get taken seriously in a way vague concerns just don’t.

Second, track it monthly rather than treating this as a one off exercise you do once and forget about. The real value isn’t in the single number, it’s in the trend underneath it. Is it going up or down. Which of the five categories is moving and which is staying flat. If your material scrap stays roughly the same but your expedited freight bill keeps climbing month on month, that tells you something quite specific about where your process control is actually breaking down, probably somewhere in scheduling or capacity planning rather than on the shop floor itself.

Third, and this feels particularly relevant if you’re running a plant anywhere in the UK right now, this kind of visibility matters more when margins are already under pressure. And they are under pressure. Manufacturers across the country have been dealing with rising energy costs, climbing employment costs, and now increases to business rates landing on top of everything else, adding close to a billion pounds a year in extra cost across the sector according to Make UK’s own analysis. A fair number of firms are reportedly sitting on less than twelve months of cash, with some genuinely worried about what happens if costs keep outpacing what they’re able to charge their customers. In that kind of environment, a hidden monthly cost running three to five times bigger than anyone realised isn’t just an interesting bit of analysis to file away. It’s real money that could be going towards keeping the lights on, investing in the tools that actually prevent the failures happening in the first place, or simply protecting your margin long enough to get through a genuinely difficult trading year.

Fourth, resist the urge to try and fix everything at once. Once you’ve broken your number down into its five parts, you’ll usually find one category is doing most of the damage on its own. Maybe it’s lost capacity because you’re running close to full and every failure costs you real sales you can’t easily recover. Maybe it’s expedited freight because your scheduling buffer’s grown too thin over time. Fix the biggest lever first, remeasure the following month, and let the number itself tell you honestly whether it worked.

The bin was never the real number

I think the honest takeaway here is a fairly simple one, even if getting to it properly takes a bit of graft. The scrap bin was never lying to you exactly. It’s just been telling you a small, tidy fraction of the truth and quietly letting you assume that was the whole picture all along.

Once you pull material cost, machine time, labour, re inspection, expedited freight and lost capacity into one place, you’ll almost certainly land on a number that’s uncomfortable in a genuinely useful way. Not uncomfortable because it’s wrong, but because it’s finally accurate, and accurate numbers tend to demand action in a way vague, half formed ones never quite manage to.

You don’t need a new system to start doing this properly. You need an hour with a spreadsheet, the willingness to ask your finance and logistics teams a few pointed questions they might not have been asked before, and the discipline to repeat the exercise every month rather than treating it as a one off audit you tick off and forget. Do that consistently for a few months and you’ll have something a lot of your competitors probably still don’t, a real, defensible number for what quality failure is genuinely costing you, and a clear map of exactly where to spend your next pound of improvement budget for the biggest possible return.

The scrap bin will still be sitting there on Friday afternoon, same as always. But now you’ll know it was only ever the tip of what you’re actually paying for.

Ready to close the gap

Working out the real number is one thing. Actually closing the gap between £5,000 and £18,000 is another, and that’s usually where plants get stuck. Not because the will isn’t there, but because nobody’s got the spare time to build a proper improvement system on top of an already busy shop floor.

That’s what TCMUK’s Lean Coaching Programme is built for. It’s not another consultant turning up with a clipboard, it’s hands on coaching from Adam Payne and the team, working alongside your people to turn scrap, rework and firefighting into a genuine culture of continuous improvement. One client using the programme cut waste by 93 per cent and lifted efficiency by 52 per cent. Clients typically see scrap and rework fall by around a quarter within the first year.

If you’d like a straightforward, no pressure conversation about what that could look like for your plant, you can find out more about the Lean Coaching Programme.

lean manufacturing UK