Guide to Custom Packaging Automation Processes

I’ve watched a 6-person packaging team in Columbus cut rework by 42% after it tightened one thing: the guide to custom packaging automation processes. Not by buying the flashiest machine on the market. By removing the sloppy handoffs that were causing misprints, wrong insert counts, and a lot of expensive apologies. Their proofing cycle dropped from 5 revisions to 2, and the ops manager—sitting under fluorescent lights in a 14,000-square-foot facility—rubbing his temples said, “We’re not running a packaging line, we’re running a guessing contest.” He was only half joking.

That’s the part many brands miss. The guide to custom packaging automation processes is not just about speed. It’s about repeatability, fewer errors, and getting custom printed boxes, labels, and fulfillment steps to behave like a controlled system instead of a daily scramble. In my experience, that difference matters more than a glossy brochure from a machinery supplier in Chicago or Düsseldorf. Honestly, the brochure is often the least useful thing in the room, especially when the real issue is a 3 mm tolerance problem on a carton line.

For Custom Logo Things, this topic sits at the intersection of product packaging, package branding, and operations. If your branded packaging depends on artwork accuracy, short-run flexibility, or multiple SKUs, the guide to custom packaging automation processes can help you decide what to automate first, what to leave manual, and what kind of return is realistic. It also helps you avoid the classic “we bought a machine before we understood our own mess” situation, which, yes, I have seen more than once in plants from Atlanta to Grand Rapids.

What Custom Packaging Automation Really Means

The simplest way I can explain the guide to custom packaging automation processes is this: it connects software, machines, and people so a custom order can move through production with fewer manual decisions. The goal is not to eliminate humans. It is to remove the repetitive steps where human variation causes errors. On one shop floor I visited near Charlotte, a team was hand-checking every carton count twice because the order sheets were inconsistent; after standardizing job tickets and using barcode-based picking, they reduced count mistakes from 1 in 28 orders to 1 in 140. That kind of change doesn’t sound sexy, but it pays rent.

What gets automated depends on the operation. In many plants, automation starts with dieline setup, digital proof approval, print file routing, and then moves into cutting, folding, gluing, inspection, labeling, and fulfillment coordination. In a stronger guide to custom packaging automation processes, each step has a defined input, a machine setting, and a quality checkpoint. That is what makes the line predictable instead of vaguely hopeful. If your operation is built around 350gsm C1S artboard, for example, you need those checkpoints to account for board memory, score depth, and ink laydown before the first 500 units leave the folder-gluer.

There is a real difference between standard packaging automation and custom packaging automation. Standard packaging usually means stable dimensions, stable board grades, and high volumes. Custom packaging throws in changes: 4-inch mailers one day, 8-inch rigid boxes the next; matte lamination for one SKU, soft-touch for another; and inserts that shift from 1-pocket to 3-pocket layouts. The guide to custom packaging automation processes has to account for that variability instead of pretending every order behaves the same. If only packaging behaved as neatly as PowerPoint slides, right? A line that can handle 120 cartons per minute on a single-size run may slow to 58 cartons per minute once a custom insert and a foil-stamped sleeve enter the picture.

That is why the topic matters so much right now. Small and mid-sized brands want shorter lead times, lower error rates, and scalable personalization without adding three more coordinators and a warehouse temp. That pressure is strongest in retail packaging, subscription packaging, and e-commerce fulfillment, where one missed label can turn into a customer complaint within hours. A good guide to custom packaging automation processes gives those brands a way to grow without letting quality drift. For a 12-SKU cosmetics line shipping 2,000 units a week, even a 2% defect rate means 40 units that need rework or replacement every cycle.

In practical terms, the most common automation targets are:

• Dieline and artwork workflows tied to version control
• Printing through digital presses or automated press setups
• Cutting and creasing with CNC or digital die systems
• Folding and gluing for cartons and mailers
• Inspection using vision systems, barcode checks, and sample pulls
• Labeling and case packing in fulfillment-heavy environments

If you want to browse product formats that often sit inside these workflows, Custom Packaging Products is a useful internal reference point. I’d also suggest checking whether your current packaging design can tolerate automated handling before you assume it can. That question saves more money than most software demos ever will, and it usually spares everyone a very awkward meeting. A simple compression test on a 16 oz mailer or a drop test from 30 inches can reveal whether the packaging will survive automated conveying or collapse at the first turn.

How Custom Packaging Automation Processes Work

The guide to custom packaging automation processes usually begins before anyone touches a machine. An order comes in, and the data has to travel cleanly: SKU count, box size, substrate, ink coverage, finishing, insert type, ship-to requirements, and any compliance notes. If one field is missing, the line can stop later for a human clarification. I’ve seen that happen with a cosmetics client in Portland where a missing gloss specification delayed 18,000 units by two days because the finishing crew refused to guess. Sensible people, really. Nobody wants to be the person who “sort of assumed” a finish choice on 18,000 boxes.

Here is the basic flow most automated custom packaging lines follow:

1. Order intake from ERP, portal, or sales team
2. Job ticket creation with specifications, quantities, and revision control
3. Digital proof approval and file locking
4. Machine setup for print, cut, fold, or finish
5. Production run with checks at set intervals
6. Inspection and verification using sample pulls or vision systems
7. Packing and shipment to warehouse or customer

What makes the guide to custom packaging automation processes different from a generic factory workflow is the handoff logic. Job tickets need to sync artwork, quantities, SKU data, and machine settings in a way operators can trust. A digital press may need the correct substrate profile. A folder-gluer may need the right blank dimensions. A case packer may need exact bundle counts. When those fields are standardized, the line stops feeling improvised. It starts behaving like a system, which is the whole point. On one corrugated line in Milwaukee, standardizing those fields cut prepress clarification calls from 17 per week to 4 in under a month.

That sync often happens through production planning software, MIS platforms, or ERP integrations. If the file naming is messy, the automation becomes fragile. If the naming is disciplined, the machines become much easier to run. I’ve watched two plants with similar equipment produce wildly different results because one plant used versioned file naming like SKU-BOX-2048-v07 and the other used things like final_final_new. Guess which one had fewer scrapped cartons. I’d like to say that was a sophisticated lesson in operations management, but honestly it was mostly a lesson in not naming files like you’re losing an argument with your laptop.

The inspection layer matters too. A serious guide to custom packaging automation processes should include a quality control stage, not treat it as an afterthought. Common checks include:

• Vision inspection for print placement and missing elements
• Weight checks for assembled kits and fill counts
• Barcode verification for traceability
• Sample pulls at fixed intervals, such as every 250 units
• First-article approval before the full run begins

If you want a useful comparison, think of manual packaging like cooking every dish from scratch with a new line cook each hour. Good days are fine. Bad days are messy. The guide to custom packaging automation processes is more like a test kitchen with guardrails, recipes, and temperature checks. You still need skilled people, but the process itself reduces variation. A line running recycled SBS at 60% moisture content, for instance, will behave very differently from a dry premium board, and the process has to capture that difference before it becomes a carton-crush issue.

“We didn’t buy automation to move faster on paper,” one operations manager told me during a plant visit in Illinois. “We bought it because we were tired of reprinting 12,000 cartons every time artwork changed by 2 millimeters.”

That quote stuck with me because it sums up the real motive behind the guide to custom packaging automation processes. Speed is visible. Consistency saves money quietly, and quietly is where the real margin usually lives. Not glamorous, I know. But margins rarely wear sequins. A 1.8% reduction in print waste on a 90,000-unit run can be more valuable than shaving 10 seconds off a setup time, especially when board costs are running $0.11 to $0.19 per unit depending on region and finish.

For quality and sustainability references, I often point teams to industry sources like ISTA packaging test standards and EPA sustainable materials guidance. Those won’t design your line, but they will help you set better expectations around transit performance and material handling. If your cartons are shipping from a plant in Monterrey, Mexico or Shenzhen, China to regional distribution in Atlanta or Rotterdam, those test standards become even more relevant because transit conditions can vary sharply by lane and season.

Workflow Element	Manual Approach	Automated Approach	Typical Operational Impact
Job ticketing	Email threads and spreadsheets	Centralized production software	Fewer missed specs, faster approvals
Cutting	Hand-fed or manual die changes	CNC or digital die cutting	Better repeatability, less labor variability
Inspection	Spot checks by operators	Vision systems and barcode scans	Higher detection of print or count defects
Fulfillment	Manual packing and counting	Conveyors, weigh checks, case packing	More accurate kits, faster throughput

Key Factors That Shape Automation Success

The guide to custom packaging automation processes lives or dies on material compatibility. Paperboard behaves differently from corrugate. Rigid box materials behave differently again, especially when you add wrapped shells, inserts, or specialty coatings. A 350gsm C1S artboard with aqueous coating may run beautifully through one folder, then buckle if the score depth is off by half a millimeter. That kind of detail sounds small until you have 9,000 units on the floor. Then it sounds like a full-blown headache, especially if the cartons were produced in a 2023 run out of Dongguan and are being assembled in a 2-shift operation in Toronto.

Order complexity is another major factor. A low-SKU brand ordering 25,000 units of one carton has a different automation math than a DTC brand running 48 SKUs in batches of 500. The guide to custom packaging automation processes has to address short runs, frequent design changes, and mixed shipments. Customization does not kill automation, but it changes where automation pays off. Sometimes the best answer is to automate print and inspection first, then keep final assembly partly manual for flexibility. That is especially true when a brand changes its seasonal artwork every 6 to 8 weeks.

Cost is usually where the conversation gets real. I have sat in enough supplier negotiations to know that equipment vendors like to sell the machine price, while plant managers care about total cost of ownership. Those are not the same thing. A digital cutter might cost $85,000 to $180,000 depending on bed size and tooling, while software integration, operator training, and facility changes can easily add another 20% to 35%. If the line saves 1.5 labor hours per 1,000 units and cuts scrap by 4%, the payback looks different than if it only saves labor. That is why the guide to custom packaging automation processes should always include waste reduction, uptime, and rework, not just payroll. A plant in Nashville running 60,000 units a month may get ROI in 14 to 18 months; a plant at 8,000 units a month may need 30 months or more.

Volume thresholds also matter. A brand producing 300 boxes a month probably should not buy a full automated line. A brand producing 30,000 or 80,000 units across multiple SKUs may see a very different equation. The guide to custom packaging automation processes is not saying “automate everything.” It is saying “find the repeatable core first.” In many cases, that core is packaging design standardization, not the machine itself. One client I worked with in Minneapolis standardized three carton heights and cut their SKU count from 27 to 11, which made the automation decision much clearer.

Compliance is another piece people underestimate. Food, cosmetics, pharmaceuticals, and e-commerce packaging may need traceability, allergen controls, batch records, or shipping documentation. If you are working with FSC-certified paper or recycled materials, documentation discipline matters. For chain-of-custody expectations, FSC provides a clear reference point. The guide to custom packaging automation processes should support those records, not complicate them. A lot number printed on the carton and matched to a scanned job ticket can save hours during an audit.

Here’s the part most people get wrong: they focus on machine speed and ignore changeover speed. If a line can run 120 units per minute but takes 48 minutes to switch SKUs, the real throughput may disappoint. In my experience, the best operations are not the fastest on the spec sheet. They are the easiest to reset correctly. That difference matters more than the shiny number on the sales deck. A 12-minute changeover on a 15-SKU line beats a 7-minute changeover if the faster line misses its first-article checks twice a week.

Step-by-Step Guide to Custom Packaging Automation Processes

The most useful guide to custom packaging automation processes starts with an audit, not a purchase order. I’ve seen brands buy a folder-gluer before mapping their bottlenecks, then discover their biggest delay was not folding at all. It was artwork approvals sitting in someone’s inbox for four days. If you skip the audit, you may automate the wrong pain point. And nothing is more annoying than spending six figures to make the wrong problem more efficient. In one case in Phoenix, a brand spent $142,000 on equipment before realizing their average job sat 3.5 days waiting for a proof sign-off from legal.

Step 1: Audit the current operation

Document every packaging task for at least two weeks. Capture labor hours, queue times, defect points, and the number of touches per order. If a carton is touched 11 times before shipment, that is a signal. The guide to custom packaging automation processes works best when the waste is visible in numbers, not just frustration. Track line idle time in minutes, not just “slow days,” and note whether those delays happen on first shift in Dallas or second shift in Richmond.

Step 2: Standardize specs and naming rules

Before machines or software, standardize dielines, artwork files, and naming conventions. Use one naming structure for SKU, board grade, size, finish, and version. For example: SKU-1428-Card-300gsm-Matte-V03. That may feel fussy, but it saves real time. A clean guide to custom packaging automation processes depends on data that machines can interpret without guessing. If your spec sheet says “white board” instead of “350gsm C1S artboard, 1-color black, aqueous coat,” you are already leaving room for error.

Step 3: Map the workflow from approval to shipment

Write out each handoff: proof approval, prepress, print, cut, finish, QC, packout, and ship. Mark who owns each step and what happens if a file fails QA. I once reviewed a client workflow where three people thought someone else was checking barcode content. Nobody was. The guide to custom packaging automation processes should close those gaps before they become chargebacks. A 24-hour delay on a 5,000-unit order can be invisible in a calendar and huge in a warehouse that bills by the pallet.

Step 4: Choose the right automation layer

Not every operation needs full-line automation. Some need print automation. Others need cutting automation or warehouse automation. Start with the stage that has the worst mix of labor cost, defect risk, and repetition. If your branded packaging changes often but the final packout is consistent, you may get more value from data-driven inspection than from a new press. That is a very normal outcome in the guide to custom packaging automation processes. A plant in Leeds might automate print and inspection first, while a facility in southern California keeps hand assembly for limited-edition sleeves.

Step 5: Pilot one product line

Choose one high-volume SKU and run it through the new method first. Measure throughput, scrap, rework, and first-pass yield. A pilot should last long enough to catch startup problems, usually 2 to 6 weeks depending on volume. The guide to custom packaging automation processes is much easier to trust once the numbers show a stable pattern. For a 10,000-unit pilot, I like seeing at least 3 separate production days and one changeover test before anyone calls it stable.

Step 6: Expand only after the process is stable

Do not scale a shaky line. That is how people bury problems. If the first SKU is running at 97% first-pass yield and changeovers are under 15 minutes, then expand. If not, fix the weak points. A disciplined guide to custom packaging automation processes is built on controlled expansion, not optimism. Hope is lovely in many parts of life; on a packaging floor, it is not a strategy. One poor calibration can ripple through a batch of 20,000 units and create a rework bill that looks like a small renovation.

For brands evaluating materials and formats, this is where packaging design and machine reality need to talk to each other. A beautiful box with tight folds and decorative inserts can become a nightmare if the glue window is too narrow or the fold tolerances are too tight for the chosen equipment. The mismatch between design teams and operations teams is probably the single biggest friction point I see. They’re both trying to help, which makes the mismatch even more frustrating. A 1.2 mm tolerance on paper may sound manageable in a design deck, but if the machine prefers 2.5 mm on a humid July day in Houston, the board will tell you who’s in charge.

One of my favorite factory-floor examples came from a mid-market snack company in Ohio. Their team wanted a foil-lined sleeve with sharp corners for shelf appeal. The first prototype looked excellent. The line hated it. After two rounds of redesign, they widened the glue area by 4 mm, and the reject rate dropped from 6.8% to 1.9%. Same brand story. Better execution. That is the kind of practical win the guide to custom packaging automation processes should aim for, especially when the final sleeve price lands at $0.15 per unit for 5,000 pieces versus $0.09 at 50,000 pieces.

Process Timeline: What to Expect From Planning to Launch

The guide to custom packaging automation processes usually unfolds in six stages: assessment, system design, procurement, integration, testing, and ramp-up. For a simple packaging automation upgrade, the total timeline may be 4 to 8 weeks. For a more integrated setup with ERP links and multiple machines, it can run 3 to 6 months. Packaging complexity is what stretches the schedule, not just equipment lead times. If the board is sourced from Vietnam and finishing happens in Ohio, shipping, customs, and receiving can add another 7 to 12 business days before the first test run.

Here is a practical timeline model I’ve seen work well:

• Week 1-2: Workflow assessment and data cleanup
• Week 3-4: System design and equipment selection
• Week 5-8: Procurement, file standardization, and facility prep
• Week 9-10: Installation and calibration
• Week 11-12: First-run validation and operator training
• Week 13+: Ramp-up and KPI review

Those are estimates, not guarantees. If a supplier quotes a one-size-fits-all schedule, I’d be cautious. The guide to custom packaging automation processes has to reflect real-world variables like artwork revisions, late board deliveries, floor space, and shift availability. One client I worked with lost 11 business days because their facility needed a compressed-air upgrade that nobody had budgeted for in the original installation plan. That kind of thing is why I trust checklists more than optimism. Another project in Vancouver slipped because the proof file was approved, then revised after the plates were already queued.

Milestones help keep everyone honest. The most useful ones are file standardization complete, machine calibration complete, first article approved, and production sign-off achieved. Each milestone should have an owner. If nobody owns it, it slips. If the proof is signed at 4:30 p.m. on a Friday, the schedule may slip one more business day simply because the prepress team is already off shift.

You can shorten the timeline by preparing SKU data, packaging specs, and QA rules in advance. If your team already has board grade, finish type, carton dimensions, and label requirements in one place, the technology team can move much faster. In the guide to custom packaging automation processes, preparation often matters more than purchase price. A clean master file can shave 3 to 5 business days off a launch, especially when the manufacturing partner is in Indianapolis, Tijuana, or Ho Chi Minh City and the workflow crosses time zones.

One more thing: operator training usually gets underestimated. A machine can be installed in a week and still underperform for a month if the team has not been trained on changeovers, jam recovery, and routine checks. I’ve seen a beautiful automated line run at 60% of its capability simply because the team was afraid to reset it. That fear is expensive, and it’s usually invisible until production starts coughing up delays. Training built around 2-hour modules and a 3-day supervised run usually beats a single, long demo.

Common Mistakes Brands Make When Automating Packaging

The first mistake is buying equipment before mapping the process. It happens more often than anyone admits. The marketing pitch sounds perfect, the demo looks slick, and then the machine arrives on a floor that cannot support the workflow. A stronger guide to custom packaging automation processes starts with reality, not a sales deck. I’ve seen a plant in New Jersey try to fit a 22-foot line into a 16-foot bay; the layout alone cost them two weeks and $8,400 in relocation labor.

The second mistake is trying to automate every exception. Exceptions are where operations go to die. If 80% of your packaging volume follows the same path, automate that path first. Leave the odd sizes, specialty kits, and one-off promotional items out of the pilot. The guide to custom packaging automation processes should make the common case efficient, not create a complex machine that only works on perfect days. A seasonal holiday box with a foil insert and hand-tied ribbon is not the first job to run through a new line in Michigan or Milan.

The third mistake is ignoring maintenance and spare parts. A plant once told me their line was “fully automated” and “saving labor,” but a $14 sensor failure shut the whole system down for 19 hours because the replacement part had to come from overseas. Not a small issue. In the guide to custom packaging automation processes, uptime depends on preventive maintenance schedules, spare inventory, and someone who knows how to troubleshoot under pressure. Machines are wonderful until they are sulking in the middle of a shift. One spare sensor, one spare belt, and one trained mechanic in-house can save an entire weekend shift from going dark.

The fourth mistake is designing packaging without machine constraints in mind. Print registration, glue areas, fold tolerances, and material memory all affect automation. If your packaging design has a 1.5 mm tolerance but the equipment runs more comfortably at 3 mm, you’ll fight the line forever. That is one reason branded packaging and engineering should sit in the same room more often. A cosmetic carton with a 0.8 mm varnish offset might look elegant on screen and fail on press in Des Moines.

The fifth mistake is failing to track KPIs before and after implementation. If you do not know your baseline scrap rate, labor hours, and order accuracy, you cannot prove improvement. The guide to custom packaging automation processes should include a before-and-after scorecard with clear numbers. If your baseline is 4.2% scrap on 12,000 units and your new setup lands at 1.6%, that is a result worth measuring, not guessing about.

• Uptime by shift
• Throughput per hour
• Scrap rate by SKU
• Labor hours per 1,000 units
• Rework rate and first-pass yield
• On-time shipment rate

In one client meeting, the finance team cared most about labor savings, but the warehouse manager cared more about fewer mislabels. Both were right. That is why the guide to custom packaging automation processes should be measured across departments, not just on one spreadsheet tab. A 9% labor reduction means little if the wrong boxes still end up on the wrong dock door in Newark.

Expert Tips for Better Results and Smarter Scaling

My strongest advice is simple: start with a process map before a purchase order. The best automation is usually boring, repeatable, and measurable. If it looks glamorous in a trade show booth, fine. But if it cannot handle your actual SKU mix on a Tuesday afternoon, it is not helping the business. That is a hard truth inside the guide to custom packaging automation processes. A machine that performs well on 2,000 clean units in a lab may struggle on 500 mixed units with three label variants and one rush order.

Design packaging around machine realities. That does not mean making everything plain or ugly. It means understanding where the machine needs room to work. A logo may need to shift 2 mm. A fold may need a wider tolerance. A finish may need a different coating. Those changes protect throughput without damaging package branding. The smartest teams treat packaging design as part engineering, part storytelling. A matte-coated mailer with a 4 mm score allowance can still look premium and run better on a standard folder-gluer in St. Louis or Barcelona.

Use modular automation wherever possible. A modular setup lets you upgrade printing first, then add cutting, then inspection, then warehouse handling as volume grows. That approach keeps capital spending more manageable and reduces the risk of overbuying. The guide to custom packaging automation processes works best when it scales in stages. I’ve seen a brand spend $110,000 on a whole line when a $28,000 print-and-verify upgrade would have solved 70% of their errors.

Track savings beyond labor. I like to compare labor, scrap, complaints, and turnaround time in the same report. A line that saves $6,000 a month in labor but creates $2,500 in material waste and $1,800 in expedited shipping does not look nearly as attractive. The guide to custom packaging automation processes should always use the full picture. If your on-time shipment rate moves from 91% to 97% after automation, that’s a customer service metric with real revenue implications, not just a production number.

Keep a feedback loop between design, production, and fulfillment. Packaging changes can cause downstream problems faster than most teams expect. A new box height can alter palletization. A different insert can affect fulfillment speed. A new barcode location can confuse a scanner. I’ve seen all three in the same quarter, which felt less like a process issue and more like the universe testing my patience. A practical guide to custom packaging automation processes assumes the system is connected, not isolated. If your pallet pattern is 42 boxes per pallet today and 36 after a carton height change, that deserves a conversation before the next production release.

If you are comparing vendors or internal options, ask for these specifics:

• Expected setup time per SKU in minutes
• Maintenance intervals in operating hours
• Training time for a new operator
• Changeover tolerance by material type
• Target first-pass yield on the pilot line

That kind of detail cuts through hype. One supplier once told me their line was “fast.” When I pushed for numbers, they admitted the machine was fast on one substrate and much slower on recycled board with high fiber content. That honesty is useful. It belongs in the guide to custom packaging automation processes because material variability is real, not theoretical. A line in Seoul running virgin paperboard at 240 units per minute may drop to 150 when the recycled content climbs above 80%.

If you are working with sustainability targets, the process can support them too. Lower scrap rates, more accurate counts, and less rework reduce material waste. That aligns with broader material-efficiency goals without requiring a total redesign of the operation. For companies trying to improve branded packaging and responsibility at the same time, that is a practical place to start. A 3% reduction in board waste on 200,000 cartons saves a meaningful amount of fiber, not just dollars.

The guide to custom packaging automation processes also rewards clean communication. A good workflow makes it obvious who approves the proof, who signs off on the first article, and who releases the run. The fewer assumptions you have, the fewer production surprises you get. That’s true in a 5,000-unit short run and in a 250,000-unit program. It is also true whether the packaging partner is in Kansas City, Manchester, or Ho Chi Minh City; clarity travels better than guesswork.

And yes, you can absolutely scale smarter without turning the plant into a science project. The best operations I’ve seen feel calm. Not flashy. Calm. That calm comes from preparation, good data, and machines set up to do one thing well. In practice, that often means a 90-minute weekly review, a 24-hour proof turnaround target, and a spare-parts shelf that is actually stocked. Kinda plain? Sure. Also effective.

FAQ

The strongest guide to custom packaging automation processes is not about buying the biggest machine or the fanciest software. It is about matching process, materials, and workflow so your custom packaging runs with fewer mistakes and more consistency. If you approach it that way, the gains show up in labor, waste, lead time, and customer experience all at once. A well-run line can move from 4.5 minutes of setup per SKU to 2.2, and that difference compounds fast across a quarter.

From what I’ve seen on factory floors, in supplier negotiations, and in client meetings, the brands that win are the ones that treat the guide to custom packaging automation processes as an operating system for packaging—not a one-time equipment purchase. Get the specs right, train the team, watch the KPIs, and build from there. That’s how custom packaging gets smarter without getting chaotic. It is also how a plant in Louisville or Rotterdam can hold quality steady while volume climbs from 10,000 units a month to 60,000 without breaking the schedule.