With rising SKU counts and tighter production layouts, manufacturers are looking for ways to consolidate equipment without sacrificing output. Multi‑infeed, multi‑pallet robotic palletisers provide that consolidation by enabling one robot to service several lines and pallet positions in parallel, significantly increasing operational efficiency. This capability is transforming end‑of‑line automation, especially for sites producing a wide range of SKUs or operating multiple packaging formats.
The video below shows a real system in action, demonstrating how a single robot can manage several product streams and build pallets on different stations in parallel.
Traditional palletisers are usually dedicated to a single line. If a facility has three packaging lines, it often needs three separate palletisers—each taking up space, requiring maintenance, and adding cost.
A robotic palletiser with multi‑line capability replaces all of that with a single, flexible cell that can:
Accept products from two or more infeed conveyors
Build pallets on two or more pallet positions
Switch between lines and pallets automatically
This approach increases efficiency while reducing equipment footprint.
How Robots Manage Multiple Infeeds
A robotic palletiser can receive products from several lines because of three key technologies:
1. Coordinated Infeed Conveyors
Each infeed delivers product to a defined pick point. Sensors or vision systems confirm:
Product presence
Orientation
SKU type
The robot’s controller prioritises picks based on line speed, buffer levels, or programmed rules.
2. Intelligent Scheduling
The robot doesn’t simply pick from whichever line is closest. Instead, it uses logic such as:
“Pick from Line A until buffer drops below X”
“Alternate between Line A and Line B every cycle”
“Prioritise the fastest‑running line to prevent backups”
This ensures smooth flow across all lines.
How Robots Build Multiple Pallets at the Same Time
Once the robot has picked a product, it must place it on the correct pallet. Multi‑pallet systems achieve this through:
1. Multiple Stacking Patterns
Each pallet position can have its own pattern, height, and SKU assignment. For example:
Pallet 1: Cartons, interlocked pattern
Pallet 2: Cartons, column stack
The robot switches patterns automatically based on which pallet it is feeding.
2. Optimised Robot Paths
The robot’s motion planning software calculates the most efficient route between:
Infeed A → Pallet 1
Infeed B → Pallet 2
…and so on
This minimises travel time and maximises throughput.
Where This Technology Is Most Valuable
Multi‑infeed, multi‑pallet robotic palletisers are ideal for:
Food and beverage plants
Pet food and animal feed manufacturers
Chemical and agricultural products
Contract packers with frequent SKU changes
Facilities with limited floor space
Operations looking to reduce labour dependency
They provide the flexibility to scale production without major layout changes.
The Bottom Line
Robotic palletisers capable of handling multiple infeeds and multiple pallet stack positions simultaneously offer a powerful combination of flexibility, efficiency, and space savings. By stacking from two or more infeeds onto two or more pallet positions, they keep production flowing continuously.
The system shown in the video is a strong example of how a single robotic cell can replace several traditional palletisers while delivering higher throughput and greater adaptability.
If you’d like to understand how automated palletising could work in your operation, get in touch with us or use our Palletiser Savings Estimator to get an indication of the return you could expect.
Scaling production is often assumed to require one thing above all else: more people. More operators, more supervisors, more support staff. But in today’s manufacturing environment — where margins are under constant pressure and labour is increasingly difficult to recruit and retain — the most competitive factories are taking a different approach.
They’re scaling output without scaling headcount.
This isn’t about cutting corners or overburdening teams. It’s about unlocking the latent capacity that already exists within your operation. With the right combination of process visibility, targeted investment, and continuous improvement, manufacturers can significantly increase throughput using the people, equipment, and space they already have.
Here’s how to do it effectively — and sustainably.
1. Start With Process Visibility
Before making any changes, you need a clear, objective view of how your factory is actually performing — not how it’s assumed to perform.
Many operations rely on anecdotal feedback or end-of-shift reporting, which often masks inefficiency. Machines may appear busy but spend significant time idle between cycles. Operators may be working hard but not necessarily working efficiently. Small delays — waiting for materials, searching for tools, rechecking work — accumulate quickly.
Introducing real-time monitoring transforms this picture. Whether through a full Manufacturing Execution System (MES), IoT-enabled machine tracking, or well-designed manual dashboards, visibility allows you to:
Measure actual cycle times against standard times
Identify recurring downtime patterns and their root causes
Highlight performance variation between shifts or lines
Detect micro-stoppages that typically go unrecorded
This insight creates a foundation for improvement. Instead of guessing where capacity is being lost, you can target specific, measurable issues — and track the impact of changes over time.
2. Eliminate Bottlenecks First
Every production system has a limiting factor — a single step that constrains overall output. This bottleneck dictates the maximum capacity of your entire operation.
A common mistake is trying to improve everything at once. In reality, increasing speed in non-constrained areas simply creates more work-in-progress and inefficiency downstream.
Instead, focus on the constraint. In many factories, the end of the production line is exactly where this pressure builds — palletising and packing operations that rely on manual labour are frequently the slowest, most variable part of the process. When upstream production outpaces what operators can physically handle at the end of the line, throughput suffers and product queues up.
Ask the right questions:
Is the bottleneck running at full capacity, or is it slowing the whole line down?
How much of the delay is due to manual handling speed or operator fatigue?
Are operators waiting on instructions, empty pallets, or other inputs?
Can tasks be simplified, combined, or removed entirely?
Even modest gains at the bottleneck — reducing cycle time, cutting changeover duration, or improving consistency — can increase total output disproportionately. Once one constraint is resolved, another will emerge. Scaling effectively means continuously identifying and addressing these shifting bottlenecks.
3. Automate the Right Process First — Starting at the End of the Line
Automation is often seen as the default route to higher output — but trying to automate everything at once is expensive, complex, and rarely necessary.
The most effective approach is targeted automation: applying it where it delivers the highest and fastest return. For most manufacturers, that means starting at the end of the line.
End-of-line palletising is one of the most common and impactful targets for automation because it typically involves:
Highly repetitive, physically demanding tasks that operators cannot sustain at pace indefinitely
Inconsistency in stack quality, pallet patterns, and throughput rates
A direct constraint on how fast finished goods can be moved from production to despatch
Significant manual handling risk — one of the leading causes of workplace injury in manufacturing
A robotic palletising system removes these problems entirely. Unlike manual operators, a palletiser runs continuously — no breaks, no fatigue, no variation. Throughput is predictable and consistent, pallet quality improves, and your team can be redeployed to higher-value tasks elsewhere in the operation.
This isn’t about replacing people — it’s about using them where they add most value, rather than on repetitive handling work that a machine can do faster and more reliably around the clock.
4. Optimise Changeovers and Reduce Downtime
One of the largest untapped opportunities in most factories lies in reducing non-productive time.
Changeovers, maintenance, and scheduling inefficiencies can quietly consume hours of potential production capacity each week. Because these activities are treated as normal, they’re rarely scrutinised as closely as they should be.
Start by analysing:
Average changeover duration and variability
Frequency and causes of unplanned downtime
Maintenance response times
Production scheduling patterns
Applying SMED (Single-Minute Exchange of Die) principles can dramatically reduce changeover times by separating internal and external setup tasks. Modern robotic palletising systems, for example, can switch between pallet patterns or product configurations in minutes — far faster than reconfiguring a manual team or adjusting a process by hand.
Shifting from reactive to preventive — or predictive — maintenance also significantly improves equipment availability. Even incremental improvements, such as reducing downtime by 10–15%, can create substantial additional capacity without adding a single operator.
5. Upskill and Redeploy Your Existing Workforce
If your goal is to scale without hiring, your current workforce is your most valuable asset — but only if they’re working where they add most value.
One of the less-discussed benefits of automated palletising is what it does for your team. Operators freed from repetitive end-of-line handling can be redeployed to roles that genuinely benefit from human judgement: quality inspection, process monitoring, equipment oversight, and continuous improvement activity.
Practical steps to maximise this include:
Cross-training employees to operate and monitor automated systems
Providing clear, accessible training on new equipment — modern palletisers are designed to be simple to programme and operate
Encouraging operators to contribute ideas for process improvement
Creating feedback loops where suggestions are reviewed and acted upon
When employees understand how their role impacts overall performance, they’re far more likely to take ownership of outcomes. Automation doesn’t diminish that — it elevates it.
6. Improve Material Flow and Factory Layout
Inefficient movement of materials is one of the most common — and most overlooked — sources of lost productivity. Every unnecessary step, delay, or manual handling process reduces the time available for value-added work.
Take a fresh look at your layout:
Are materials travelling further than necessary?
Do operators spend time walking between stations?
Are there bottlenecks caused by poor positioning of equipment or storage?
Is finished product accumulating at the end of the line because palletising can’t keep pace?
Automated Guided Vehicles (AGVs) and Autonomous Mobile Robots (AMRs) can work in conjunction with palletising systems to move loaded pallets from the palletiser directly to a wrapping station or despatch/storage area — removing the need for manual pallet truck movements and keeping the line flowing.
The objective is straightforward: ensure materials move smoothly, predictably, and with minimal manual intervention from production through to despatch.
7. Leverage Data for Continuous Improvement
Scaling output isn’t a one-off initiative — it’s an ongoing process.
The most effective manufacturers build a culture of continuous improvement, supported by data. Rather than relying on periodic reviews, they monitor performance in real time and make frequent, incremental adjustments.
Key metrics to track include:
Overall Equipment Effectiveness (OEE)
Throughput rates
Downtime frequency and duration
Quality and rework levels
Modern palletising systems provide real-time performance data as standard — giving supervisors and engineers immediate visibility of cycle times, output rates, and any stoppages. This data can be fed into wider factory monitoring systems, creating a clear picture of end-to-end performance and making it far easier to identify where further improvements are possible.
8. Standardise and Document Best Practices
Consistency is a prerequisite for scalability.
If processes vary between shifts, operators, or production lines, output will always be unpredictable. Standardisation ensures that the most efficient way of working is applied consistently across the operation.
This includes clear work instructions, visual aids, standard operating procedures, defined quality standards, and regular reviews to keep processes current.
One often-overlooked benefit of automating palletising is that it enforces standardisation by default. Every pallet is built to the same pattern, at the same speed, to the same specification — regardless of which shift is running. That consistency ripples back through the operation, making scheduling more reliable and despatch more predictable.
Final Thoughts
Scaling factory output without hiring more people isn’t about pushing your existing workforce harder. In fact, that approach tends to lead to burnout, quality problems, and diminishing returns.
It’s about working smarter — and starting with the right changes.
For most manufacturers, that means taking a hard look at the end of the line. Manual palletising is one of the most common constraints on factory throughput, and one of the most straightforward to address. A robotic palletising system can typically deliver payback in under 12 months, while simultaneously improving output consistency, reducing manual handling injuries, and freeing your team for higher-value work.
In the hierarchy of manufacturing, the packing hall is frequently misunderstood. Often viewed as the simplest, most controllable end of the supply chain, it is the place where product is already “made” and quality is already “assured.” On a spreadsheet, it looks like a straightforward volume-in, volume-out operation.
Yet, for many production directors, the packing department is a persistent source of instability. It is often the epicentre of high staff turnover, inconsistent output, and a debilitating reliance on temporary labour.
While leadership teams often frame these issues as “recruitment challenges” or “HR problems,” the reality is more systemic. To solve the turnover crisis, we must stop asking why people are leaving and start asking: How is the design of our operation forcing them out?
Below are the five underlying drivers of packing-room churn that are most frequently overlooked by management.
1. The Ergonomics of Repetition: The “Micro-Injury” Cycle
It is a common mistake to equate “low complexity” with “low effort.” Packing roles are physically demanding not because of the weight of a single box, but because of the cumulative load over an eight or twelve-hour shift.
An operator may perform thousands of near-identical movements per day. When these movements are performed under the pressure of strict cycle times, the body has no window for micro-recovery. Turnover spikes in environments where:
Vertical Reach is Ignored: Pallet builds that require reaching above the shoulder or below the knee.
Variable SKUs: Frequent changes in case sizes that force the body to adapt to new, awkward angles without ergonomic adjustment.
Static Posture: Standing on hard surfaces for extended periods with limited movement.
The Result: What begins as manageable fatigue evolves into chronic discomfort. Employees don’t always leave because they “can’t do the job”; they leave because they are physically exhausted by a process that ignores human kinetics.
2. The “Shock Absorber” Effect
The packing department sits at the mercy of every upstream delay, machine breakdown, or raw material shortage. When production falls behind, the packing hall is expected to “make up the time.”
This forces the department to act as the operational shock absorber, absorbing the impact of manufacturing volatility through:
Erratic Shift Ends: Staying late to “clear the floor” because of an afternoon line stoppage.
Unpredictable Rhythms: Periods of intense, high-stress activity followed by hours of “cleaning” during downtime.
Disrupted Breaks: Constant adjustments to lunch and rest periods to accommodate machine flow.
Human beings crave rhythm. When the workday feels reactive and chaotic, employees lose their sense of control. This lack of predictability is one of the strongest drivers of disengagement and, eventually, resignation.
3. The “Low-Skill” Paradox in Training
There is a dangerous assumption that because packing is “simple,” it requires minimal onboarding. This “sink or swim” mentality is the primary cause of Early Attrition—the phenomenon where workers quit within their first month.
In a modern high-throughput environment, packing is rarely just “putting things in boxes.” It involves:
Navigating complex SKU handling requirements.
Managing integrated scanning and traceability software.
Adhering to precise pallet-stability protocols for transit.
When a new starter is given only a few hours of informal shadowing, they are set up for failure. They suffer high error rates, face the stress of constant correction, and feel a lack of professional confidence. Effective training is not an HR formality; it is a retention tool.
4. Fatigue Accumulation and the Recovery Deficit
The math of manufacturing often dictates 24/7 operations, rotating shifts, and heavy overtime. While these models optimise machine uptime, they often ignore the human recovery deficit.
Packing is uniquely sensitive to shift-work fatigue because of its physical nature. If an employee is working rotating shifts, their circadian rhythm is in a constant state of flux. If overtime is used to bridge labour gaps, the problem becomes self-reinforcing:
Staff leave due to burnout.
Remaining staff work more overtime to cover the gap.
Burnout accelerates among the remaining team.
More staff leave.
Without a strategy for adequate recovery and sustainable scheduling, even the most competitive hourly wage will eventually lose out to a role that offers a better quality of life.
5. The Devaluation of the “End-of-Line” Worker
Finally, we must address the psychological driver of turnover: Role Value. If an employee feels they are an “interchangeable part” in a machine, they will treat their employer with the same lack of loyalty.
In many factories, the “skilled” workers are the operators of the complex machinery upstream, while the packers are seen as “general labour.” This hierarchy is felt by the staff. Retention improves dramatically when packing is professionalized through:
Clear Career Pathways: Showing that a Packer can become a Quality Auditor, a Line Lead, or a Maintenance Technician.
Technical Engagement: Involving packers in Lean or Kaizen initiatives to improve their own workstations.
Visible Recognition: Linking packing performance directly to the company’s ability to meet customer promises.
Conclusion: A Production Performance Issue
Staff turnover in the packing department is rarely a “people” problem; it is an engineering and management problem. High churn rates are a signal that the process design is out of alignment with human capability and psychological needs.
Fixing turnover requires looking past the HR metrics and examining the physical strain, the predictability of the shift, and the dignity of the role. Ultimately, no manufacturing operation can scale sustainably if its final stage—the last point of contact before the customer—relies on a workforce in a state of constant flux.
When a critical machine needs servicing, the source of its parts can determine whether a business keeps running smoothly or grinds to a halt. “Made in the UK” is more than a label—it represents a system where design, manufacturing, and support work closely together. Locally produced components and accessible after-sales services ensure that repairs happen quickly, replacements fit perfectly, and expertise is just a call away. In an age of global supply chains and stretched logistics, this kind of responsiveness is essential.
For businesses that rely on precision, uptime, and operational continuity, sourcing spare parts domestically is a practical advantage. UK-based manufacturing shortens lead times, simplifies communication, and ensures compatibility across the lifecycle of a product. When every hour counts, having parts and technical support close at hand transforms reactive maintenance into a predictable, manageable process—minimising downtime and keeping operations on track.
Shorter lead times are one of the most tangible benefits of local production. Supply chains that stretch across continents inevitably face delays from shipping constraints, customs checks, and fluctuating tariffs. When components are produced and stocked domestically, delivery times compress and costs fall, allowing maintenance teams to act immediately rather than wait for overseas shipments. In industries such as automotive, aerospace, and heavy engineering, where just-in-time delivery is standard, quick access to replacement parts is critical to avoiding costly operational disruptions.
Quality control is another key factor. UK manufacturers operate under robust regulatory frameworks and consistent quality standards. This ensures that spare parts are not only technically compatible with the original equipment but meet the same safety and performance requirements. Engineers and maintenance teams can swap parts with confidence, reducing the risk of malfunction and ensuring machines continue operating at peak efficiency.
The economic benefits of local sourcing are significant as well. UK manufacturing contributed £452.2 billion in product sales in 2024, covering sectors such as automotive, industrial equipment, and food production. (ons.gov.uk) Producing and supporting parts domestically sustains local jobs in engineering, logistics, quality assurance, and technical services, while also nurturing specialised skills and vocational training pathways. (madeinbritain.org)
Recent disruptions—from the COVID-19 pandemic to global political instability—highlight the vulnerabilities of long, international supply chains. Domestically produced parts reduce exposure to these risks, ensuring businesses can maintain operations even when global logistics falter. Local sourcing allows companies to identify bottlenecks early, make adjustments quickly, and maintain consistent service levels.
This isn’t about rejecting global trade; it’s about balance. While overseas partners remain vital, mission-critical machinery and parts benefit from the reliability, speed, and accountability that come from domestic production. UK manufacturing continues to show resilience and growth, with indicators such as the S&P Global PMI pointing to ongoing expansion.
“Made in the UK” may seem like a simple origin label, but in practice, it represents a network of operational advantages. Locally produced parts reduce downtime, ensure technical accuracy, and provide accessible expertise. For businesses where uptime and reliability are non-negotiable, these advantages are far from theoretical—they are decisive.
In the end, every component tells a story of planning, precision, and accountability. By sourcing machines and parts domestically, UK manufacturing ensures that spare parts are more than replacements—they are a guarantee that operations can continue without compromise.
In today’s competitive manufacturing environment, automation decisions are no longer based purely on upfront cost. Forward-thinking operations managers, production directors and finance teams are asking a more strategic question:
What is the Total Cost of Ownership (TCO)?
At Granta Automation, we design palletising systems not just to perform — but to deliver long-term financial advantage. Through intelligent system design, robust engineering, flexible finance options, and measurable labour savings, Granta palletisers are engineered to deliver one of the lowest Total Costs of Ownership available in the UK market.
Here’s how.
Understanding Total Cost of Ownership in Palletising
Total Cost of Ownership goes far beyond the initial purchase price of a palletiser. It includes:
Capital investment
Installation and integration
Labour costs (before and after automation)
Maintenance and servicing
Downtime and reliability
Training and changeover time
Financing costs
Productivity improvements over time
A palletiser with a low purchase price but high maintenance, complex changeovers or limited flexibility may actually cost more over its lifetime than a well-engineered, properly supported solution.
Granta’s approach focuses on the full lifecycle value of automation.
1. Lower Labour Dependency = Immediate Operational Savings
Manual palletising is one of the most labour-intensive and injury-prone tasks in manufacturing. Rising labour costs and ongoing recruitment challenges across the UK make this even more significant.
By automating end-of-line palletising, manufacturers typically:
Reallocate multiple operators per shift
Reduce reliance on agency labour
Improve consistency and throughput
Minimise manual handling risk
For many operations, this alone generates substantial annual savings — often significantly exceeding system finance payments.
The result? Lower ongoing operating costs and a faster payback period.
2. Engineered for Reliability and Long-Term Performance
Unexpected downtime increases TCO rapidly. A palletiser that frequently stops production creates hidden costs:
Lost output
Overtime labour
Missed delivery deadlines
Reactive maintenance expenses
Granta palletisers are designed with:
Industrial-grade robots
Robust guarding and safety systems
Intuitive easy programming software
Clear, operator-friendly interfaces
The goal is simple: consistent performance with minimal disruption.
High uptime directly reduces lifetime ownership cost.
3. Flexible Systems That Grow With Your Business
Over-specification increases capital costs. Under-specification limits future growth.
Granta’s consultative approach ensures customers invest in systems that are:
Right-sized for current throughput
Modular where future expansion is expected
Flexible for product changeovers
Adaptable to new packaging formats
This prevents expensive reinvestment or premature replacement — another major contributor to reduced TCO.
4. Rental from Just £2.19 per Hour – Automation Without Capital Risk
One of the most powerful ways Granta helps reduce total ownership costs is through flexible rental options.
Granta’s palletiser rental scheme starts from just £2.19 per hour, offering:
No large upfront capital expenditure
Predictable operating costs
Fast deployment
Reduced financial risk
Scalability for seasonal or contract production
Because there is no large capital outlay, rental significantly reduces financial exposure — making automation accessible to businesses of all sizes.
From a TCO perspective, rental eliminates:
Depreciation risk
Large financing costs
Long-term capital tie-up
It transforms automation into a manageable operational expense.
5. Leasing: Pay Monthly, Save Immediately
For companies ready to adopt automation long term, Granta’s palletiser leasing scheme provides a structured route to ownership — without the strain of upfront investment.
Key advantages include:
Fixed monthly payments
Preservation of working capital
Immediate labour cost savings
Option to own the system at the end of the term (often for a nominal final fee)
Many manufacturers find that:
Monthly labour savings exceed the lease payments.
This means businesses can experience positive cash flow impact from automation while building long-term asset ownership.
From a TCO standpoint, leasing:
Spreads capital cost
Reduces financial strain
Allows faster implementation
Delivers measurable ROI from day one
6. Reduced Workplace Injuries and Associated Costs
Manual palletising is a common source of musculoskeletal injuries. The financial impact of workplace injury includes:
Sick pay
Temporary labour replacement
Insurance implications
Administrative costs
Lost productivity
By automating repetitive lifting and stacking, Granta palletisers reduce manual handling exposure, helping companies:
Improve health and safety performance
Reduce injury-related costs
Enhance employee morale
Safer operations contribute directly to lower long-term ownership costs.
7. Fast ROI and Short Payback Periods
Because of the combination of:
Labour savings
Improved throughput
Reduced downtime
Flexible financing
Long system lifespan
Many Granta palletising systems achieve payback within a relatively short timeframe, often within the first year.
After that point, the system continues generating operational savings year after year — significantly lowering lifetime cost per pallet.
8. UK-Based Expertise and Ongoing Support
A palletiser’s TCO is heavily influenced by the quality of support behind it.
Granta provides:
UK-based engineering support
Installation and commissioning expertise
Training for operators and maintenance teams
Ongoing service packages
Strong aftercare reduces reactive call-outs and keeps systems running efficiently — further protecting long-term investment value.
Designed for Financial Sustainability, Not Just Automation
The key difference with Granta’s approach is strategic thinking.
Automation is not simply about installing a robot at the end of a line. It is about:
Improving operational resilience
Controlling rising labour costs
Increasing output consistency
Creating scalable production capacity
Protecting long-term profitability
By combining robust engineering with rental and leasing flexibility, Granta palletisers are designed to deliver one of the lowest Total Costs of Ownership available to UK manufacturers.
Is a Lower TCO Right for Your Operation?
Every production environment is different. TCO depends on:
Shift structure
Labour rates
Product types
Throughput requirements
Existing line layout
Growth plans
That’s why Granta takes a consultative approach — assessing your application and modelling potential savings before recommending a solution.
Through smart engineering and financially accessible automation — including rental from £2.19 per hour and structured leasing options — Granta helps UK manufacturers adopt palletising solutions that work not just technically, but commercially.
If you are evaluating palletising automation and want to understand what your true Total Cost of Ownership could look like, we’re ready to help you calculate it clearly and confidently.
You may also find these tools useful to help with your calculations.
When customers invest in an industrial robotic palletiser, they are not simply buying a robot — they are investing in reliability, uptime, and long-term performance.
One question we are often asked is:
Why did we choose KUKA robots over other robot manufacturers for our industrial palletising systems?
The answer is not marketing-driven or based on a supplier relationship. It comes from extensive research, real-world feedback, and years of industry experience.
(For clarity: we also use Yaskawa robots for our cobot palletising solutions — but that’s a different application and a different story.)
We Evaluated Over 20 Robot Suppliers
Before standardising on a robot supplier, we carried out a detailed evaluation process.
We reviewed more than twenty robot manufacturers, assessing:
Reliability in industrial environments
Long-term ownership costs
Engineering quality
Support availability in the UK
Performance specifically in palletising applications
During this process, KUKA consistently stood out: As one of the leading robot suppliers in the UK market, backed by German engineering, KUKA already carried a strong reputation for precision and build quality. However, reputation alone was not enough — we wanted independent proof from real users.
What Real Robot Users Told Us
We visited operational sites running a variety of robot brands and spoke directly with the people who rely on them every day.
The feedback was remarkably consistent.
Across multiple industries and facilities, operators repeatedly told us: KUKA robots outperformed other brands in reliability.
This wasn’t a one-off comment or a sales claim — it was a pattern. Facilities running mixed fleets often highlighted that KUKA robots required less intervention and delivered more consistent uptime. For palletising systems, where reliability directly affects production output, this was a decisive factor.
What Spare Parts Suppliers Revealed
We also spoke to companies that supply spare parts across multiple robot brands — organisations with no incentive to favour one manufacturer over another.
Their insight was particularly revealing: They told us that KUKA spare parts were among the least frequently sold, simply because the robots failed less often.
In other words:
Fewer breakdowns
Less unplanned maintenance
Lower lifetime disruption for customers
For us, this reinforced what we were already hearing from end users.
Price Matters — But Reliability Matters More
KUKA robots are competitively priced within the industrial palletising market, but price was never our primary decision factor.
A palletiser is expected to operate for many years, often in demanding environments and running multiple shifts.
The real cost of ownership is determined by:
Downtime
Maintenance frequency
Reliability
Long-term performance
When viewed through that lens, quality and reliability outweigh initial purchase price every time. KUKA consistently delivered the strongest balance of performance and long-term value.
A Conversation at BMW That Confirmed Everything
One of the most memorable moments during our evaluation came from BMW’s production facility. The site operated robots from multiple manufacturers, including KUKA. We asked their engineering team which robots they preferred. Surprisingly, they initially said they didn’t like KUKA; naturally, we asked why. Their answer was telling:
Other robot brands fail more often, so engineers become very familiar with repairing and troubleshooting them.
KUKA robots rarely fail, so engineers have fewer opportunities to work on them and are less familiar with their software.
In other words, the “problem” was that KUKA robots were too reliable.
For us, that was one of the strongest endorsements possible — coming not from marketing material, but from engineers responsible for keeping production running.
Why This Matters for Palletising
Industrial palletising places unique demands on robots:
Continuous repetitive motion
Heavy payload handling
High cycle counts
Minimal tolerance for downtime
Reliability is not a luxury — it is essential. By standardising on KUKA robots for our industrial palletisers, we aim to deliver systems that:
Run consistently year after year
Require minimal intervention
Provide dependable production performance
Reduce operational risk for our customers
Our Philosophy: Proven Performance Over Brand Loyalty
At Granta Automation, our approach has always been simple:
We choose technology based on evidence, not preference.
After extensive evaluation, customer feedback, industry consultation, and real-world observation, KUKA proved to be the robot supplier that best aligned with our priorities — quality, reliability, and long-term customer success.
That is why KUKA robots form the foundation of our industrial robotic palletising systems today.
Machines don’t talk—but if you know their language, you can make them do almost anything. From stacking pallets to keeping production lines humming, automation comes with its own vocabulary—some of it intimidating, some of it essential. Knowing the right terms can save hours of troubleshooting, avoid expensive mistakes, and help you get the most out of equipment like robotic palletisers. Here are ten you should have in your back pocket.
1. PLC (Programmable Logic Controller)
Think of the PLC as the control center of your production line. It’s what tells motors, sensors, and conveyor belts what to do—and when to do it. Palletisers rely on PLCs to move boxes with precision and keep your line running smoothly.
2. HMI (Human-Machine Interface)
The HMI is the “dashboard” you actually want to look at. It turns all the signals, alerts, and data from your machines into a clear, interactive display, so you can spot problems before they become production-stopping headaches.
3. SCADA (Supervisory Control and Data Acquisition)
SCADA systems are like your plant’s nervous system. They collect and visualise data from machines, letting you track performance, spot inefficiencies, and plan maintenance before something breaks. For palletisers, this means fewer surprises and higher throughput.
4. Servo Motors
Servo motors handle the heavy lifting when it comes to precise motion. On a palletiser, they control robotic arms, lifts, and grippers, making sure boxes end up exactly where they should—every time.
5. Conveyor Systems
Conveyors are the arteries of your production line. Understanding belt types, speeds, and load capacities is essential if you want your palletiser to stack without jams or slowdowns.
6. Industrial Sensors
Sensors are your machines’ senses. Proximity switches, photoelectric detectors, and vision cameras help your palletiser “see” boxes, detect orientation, and avoid collisions—keeping both products and operators safe.
7. Actuators
Actuators are what turn instructions into action. In your palletiser, they drive lifts, clamps, and arms, converting PLC commands into smooth, reliable movement.
8. Plug-and-Play
Plug-and-play describes equipment that can be installed and start working with minimal setup. In automation, this means sensors, actuators, or even entire palletising systems can be connected, recognised by the control system, and operate immediately—without complex programming or calibration. For engineers, plug-and-play components simplify installation, reduce downtime, and make it easier to upgrade or expand production lines as needs change.
9. IoT (Industrial Internet of Things)
IoT brings connectivity to your production line. Machines, sensors, and PLCs talk to the cloud, enabling remote monitoring, predictive maintenance, and smarter decision-making that keeps your palletiser running at peak efficiency.
10. Cycle Time
Cycle time is the clock on your production process. The shorter the cycle without sacrificing safety or quality, the more boxes your palletiser stacks—and the more profitable your line becomes.
Why Knowing These Terms Matters
Automation isn’t just a set of machines—it’s a system. Engineers who speak the language of PLCs, HMIs, sensors, and servo motors can make smarter decisions, troubleshoot faster, and communicate clearly with vendors.
Running a small-to-medium factory is like conducting a symphony: every component, from machinery to manpower, needs to work in harmony. One of the most crucial metrics that can help you orchestrate this smoothly is knowing your labour efficiency. It not only tells you how well your team is performing but also highlights areas where time, resources, and processes can be optimised. Understanding this metric can be the difference between steady growth and unnecessary operational costs.
What is Labour Efficiency?
Labour efficiency measures the effectiveness of your workforce in producing the expected output within a given timeframe. Essentially, it compares the work done against the time that should have been required to complete the work.
A high labour efficiency indicates that your team is meeting or exceeding standards, while low efficiency points to bottlenecks, skill gaps, or workflow challenges. It’s a simple concept but incredibly powerful for guiding decisions around staffing, training, and process improvement.
The standard formula for calculating labour efficiency is:
Where:
Standard Hours for Actual Output: The hours that should have been spent producing the actual number of units, based on established benchmarks or time studies.
Actual Hours Worked: The total hours your team actually spent producing those units, including overtime if relevant.
Example: Suppose your factory is expected to produce 500 units in 100 hours. If your team actually takes 120 hours to produce the same output, the labour efficiency would be:
This means there’s a 16.7% gap between expected and actual performance—an opportunity to investigate and improve.
Step-by-Step Guide to Calculating Labour Efficiency
Set Clear Standard Times Start by establishing realistic benchmarks for each product. These can come from historical data, industry standards, or direct time studies on the production floor. Precision here is key: if your standard times are off, the efficiency metric loses its meaning.
Accurately Track Actual Output Record the exact number of units produced within a specific period. Consistency in data collection ensures that your efficiency calculations reflect reality.
Record Actual Hours Worked Total all hours spent producing the output. Include regular work hours, overtime, and any downtime or breaks that affect production.
Calculate Labour Efficiency Use the formula above to determine efficiency as a percentage. This gives a quick snapshot of performance relative to expectations.
Analyse and Interpret Results Efficiency above 100% may indicate exceptional performance—or that your standard times are set too low. Efficiency below 100% highlights inefficiencies and provides actionable insight for improvement.
Practical Tips to Boost Labour Efficiency
Invest in Workforce Training: Even minor skill gaps can slow production. Regular workshops, cross-training, and refreshers ensure employees work efficiently and confidently.
Streamline Workflow: Map your production process, identify bottlenecks, and remove redundant steps. Sometimes, a small tweak in layout or sequence can dramatically improve efficiency.
Leverage Automation: Machines and software can handle repetitive tasks more consistently than manual labour, freeing up staff for more value-added work.
Monitor Regularly: Make efficiency tracking a continuous process rather than a one-off exercise. Weekly or monthly tracking reveals trends and helps anticipate problems before they escalate.
Encourage Feedback: Your team often knows where the friction points are. Open communication can uncover inefficiencies that aren’t obvious from data alone.
Why Labour Efficiency Matters for Small-to-Medium Factories
Labour is often one of the largest operating costs in a factory. Even small inefficiencies can compound into significant losses over time. Calculating labour efficiency provides actionable insights, allowing you to:
Optimise staffing levels
Reduce unnecessary overtime
Pinpoint training needs
Improve workflow and process design
In short, it equips you with the knowledge to make smarter decisions that increase output without necessarily increasing costs. By understanding and actively managing labour efficiency, your factory can achieve smoother operations, happier employees, and a stronger bottom line.
When planning a palletiser installation, one of the first questions is often: “How long will it take before everything is fully operational?” The answer depends on the type of palletiser system being installed, the complexity of the system and the product being palletised, plus any additional equipment being integrated. Setting realistic expectations helps you plan production, allocate resources, and avoid unnecessary delays.
This guide breaks down typical installation times for some of the most commonly used palletising systems, the factors that influence them, and the final steps required before your palletiser goes live.
Palletiser Installation Timelines by System Type
Different palletiser systems come with different installation demands. Here’s a practical overview giving the typical times required for each stage of installation:
Palletiser Type
Mechanical & Electrical Installation
Commissioning
Total Installation Time
Cobot Palletiser
1–2 days
1 day
2–3 days
Static Palletiser
2 days
2 days
4 days
Compact Palletiser
4–5 days
3–4 days
7–9 days
Large Modular Palletiser
~1 week
~1 week
2+ weeks (variable)
Additional Factors That Can Extend Installation
Row Grip Picking Technology
Depending on the product type and handling complexity, a palletiser system with row grip functionality will typically require an additional 1–2 days to install.
Infeed Conveyors
Infeed conveyors are often the most variable part of any installation. Depending on the number, length, and complexity of the infeed systems, installation time can increase by:
0.5 days to 4–5 days, with
~1 day per infeed being a common average.
Precise alignment and testing are essential to ensure smooth product flow.
Automated Mobile Robots (AMRs)
Integrating AMRs adds flexibility but also installation time. Each AMR system typically requires:
5 days for installation
1–2 days for commissioning and testing
Final Steps Before Commercial Production
Once installation and commissioning are complete, two final steps ensure your system is ready for full operation:
Operator Training Ensures your team can run the palletiser safely and efficiently.
Customer Production Commencement (CPC) Confirms the system meets the agreed production specification and is ready for production.
After training and CPC approval, the palletiser can be used for commercial production without Granta Automation on-site.
FAQs About Palletiser Installation
Q: How long does a cobot palletiser take to install? A: Usually 2–3 days, including commissioning.
Q: Can installation timelines change? A: Yes. Additional features such as row grip product picking, multiple infeed conveyors, or AMR integration can extend the timeline.
Q: What’s the timeline for large modular palletisers? A: Typically around 2 weeks, but this varies based on the systems complexity and site conditions.
Q: When can I start commercial production? A: After installation, commissioning, operator training, and a successful CPC.
Conclusion
Understanding the expected installation timeline for a palletiser helps you plan production, allocate resources, and avoid unexpected delays. While cobot systems offer rapid deployment, larger modular solutions require more time and flexibility. Factoring in additional equipment—such as conveyors or AMRs—ensures your project plan is realistic and free from surprises.
In today’s highly competitive manufacturing and logistics landscape, efficiency isn’t just a nice-to-have—it’s a business-critical factor. Every minute lost in the warehouse, every misaligned process, and every damaged product directly affects profitability, customer satisfaction, and your ability to scale.
Yet, many warehouse operations run “as usual” without realising there are hidden inefficiencies quietly undermining productivity. Teams work hard, shipments get out the door, but subtle bottlenecks quietly erode performance. If you’ve noticed delays, frequent errors, or your team constantly playing catch-up, it’s time to take a step back and look at your operations through a new lens.
Even if you’ve never considered automation, the right insights today could transform the way your warehouse works tomorrow.
The Invisible Costs of a Slow Warehouse
Most warehouse managers are aware of obvious inefficiencies—like a broken forklift or a mismanaged inventory system—but the truly costly problems are often hidden in plain sight. These “silent bottlenecks” don’t always show up in daily reports but compound over time, leading to wasted labour, higher error rates, and slower delivery times.
Consider these hidden costs:
Labour fatigue and injury risk: Manual handling of heavy products not only slows productivity but increases the likelihood of accidents and workers’ compensation claims.
Product damage: Inconsistent stacking and rushed packing lead to broken goods, returns, and reputational damage.
Wasted space: Poorly organised pallets reduce storage density, forcing you to expand your warehouse footprint unnecessarily.
Missed deadlines: Small delays in packing can cascade, resulting in late shipments and dissatisfied customers.
Even a small inefficiency can escalate into a major problem during peak periods. The difference between a warehouse that runs “okay” and one that runs optimally often comes down to the ability to identify and eliminate these hidden bottlenecks.
Common Hidden Bottlenecks in Packing and Shipping
Understanding where inefficiencies arise is the first step to solving them. In most warehouses, bottlenecks emerge in predictable areas:
1. Manual Handling Slows Everything Down
Manual stacking, lifting, and transporting pallets is inherently slow and inconsistent. Workers are capable, but human limits mean errors, fatigue, and delays are unavoidable.
For example, stacking boxes manually often leads to uneven pallets that are less stable and harder to move with forklifts. Over time, these small inefficiencies add up: extra time spent restacking, repositioning, or recovering damaged goods.
Even highly trained teams can’t match the speed and precision of a machine designed specifically for repetitive pallet stacking.
2. Inconsistent Pallet Patterns
Without a standardised stacking pattern, pallets vary in size, shape, and stability. This inconsistency affects everything from forklift handling to storage optimisation.
A poorly stacked pallet can:
Reduce storage density
Cause safety hazards
Increase the risk of product damage
Slow down the shipping process
While staff often improvise to “get it done,” these workarounds are a sign of a system that could be more efficient and predictable.
3. Labour Challenges
High turnover and seasonal staffing issues are major pain points for warehouses. When manual processes dominate, training new staff takes time, and mistakes are inevitable.
Even a small error can cause significant downstream effects: incorrect pallet stacking can lead to mis-picks, shipping delays, or damaged goods. In contrast, automated systems maintain consistency regardless of who is operating them.
4. Limited Throughput During Peak Periods
Seasonal spikes, bulk orders, or urgent last-minute shipments often reveal the limitations of a manual process. A warehouse that seems sufficient under normal conditions may collapse under pressure.
Bottlenecks at packing and palletising stages become obvious during these times. Shipments slow down, deadlines are missed, and staff morale can take a hit as teams scramble to keep up.
5. Inefficient Use of Floor Space
Space is money. Inefficient stacking and storage reduce the usable footprint of your warehouse, leading to congestion, longer travel times, and wasted labour.
Poor space utilisation often shows up as:
Overcrowded aisles
Frequent pallet reshuffling
Difficulty accessing high-demand products
Slower order fulfilment
Optimising floor space is not just about fitting more product—it’s about creating flow and predictability in your operations.
How to Identify Bottlenecks Early
Spotting bottlenecks before they become critical requires a combination of observation, analysis, and staff input. Here are practical steps:
Walk the workflow: Track materials from production to shipping. Look for repeated pauses or areas where work slows down.
Engage your team: Operators often know the workarounds used to cope with inefficiencies. Their insights are invaluable.
Analise your metrics: Monitor packing speed, shipment delays, and error rates. Small dips or spikes often indicate deeper issues.
Simulate peak demand: Test operations under high-volume scenarios to identify where processes fail or slow.
The goal is not to assign blame but to uncover structural issues that technology and process improvements can solve.
The Hidden Solution: Automating Pallet Stacking
Once you’ve mapped your workflow and identified bottlenecks, a common theme emerges: manual pallet stacking is often the limiting factor. This is where automation, particularly palletisers, can make a transformational difference. The benefits are substantial:
Speed and throughput: Machines stack pallets faster than any human, keeping pace with peak demand.
Consistency: Each pallet is uniform, stable, and ready for shipping, reducing errors and damage.
Labour efficiency: Staff can focus on higher-value tasks such as inventory management, quality control, or shipping oversight.
Scalability: As order volumes grow, palletisers scale effortlessly, ensuring operations remain smooth.
Even warehouses that appear to “run fine” often discover immediate ROI once palletisers are introduced. Reduced errors, faster shipments, and better space utilisation combine to improve both productivity and profitability.
How to Get Started
Transitioning from manual to automated pallet stacking doesn’t have to be overwhelming. Here’s a practical roadmap:
Map your current workflow: Identify where delays and errors occur. Quantify the time and cost impact.
Run a pilot: Even a single palletiser can reveal significant operational improvements.
Measure results: Track throughput, error rates, labour hours, and product damage.
Scale strategically: Gradually expand automation to additional lines or warehouses as ROI becomes clear.
The goal is not to replace your team—it’s to empower them. Automation handles repetitive, heavy, or time-sensitive tasks, giving your staff the bandwidth to focus on higher-value activities.
Future-Proofing Your Warehouse
Warehouses that invest in automation are better positioned for growth. The benefits extend beyond speed:
Improved accuracy and predictability reduces customer complaints and returns.
Optimised space usage delays the need for costly facility expansion.
Flexible, scalable processes adapt to evolving product lines or order volumes.
Higher staff satisfaction by reducing repetitive manual labour and physical strain.
Inefficiencies in your warehouse rarely appear overnight—they build up slowly, silently draining resources. By paying close attention to manual bottlenecks, analysing workflow metrics, and exploring automation solutions like palletisers, you can reclaim lost productivity, improve safety, and future-proof your operations.
Your warehouse doesn’t have to work harder—it just needs to work smarter. And in a world where speed, accuracy, and flexibility define competitive advantage, smarter warehouses win. In short, automation doesn’t just solve today’s bottlenecks—it prepares your warehouse for the challenges of tomorrow.
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