Palletizing process
Automation Solutions
ROKAE TOP / Solutions / Palletizing process automation solution
With an automatic palletizing system that utilizes collaborative robots,
Achieving a production site that is both productive and safe in a short period of time
Current status of the palletizing process
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In manufacturing and logistics sites, palletizing is an important process that involves moving cargo between processes and preparing it for shipment at the final stage.
This task of stacking products onto pallets so that they can be moved, stored, and transported efficiently occurs repeatedly in daily work and is carried out at a wide range of sites across all industries.
However, in many work sites, manual labor is still the norm, which places a great physical burden on workers and is also an area that is highly susceptible to the effects of the recent labor shortage. 
Challenges of manual palletizing
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1
Physical burden on workers
Repetitive work such as lifting and unloading heavy objects increases physical health risks, including back pain and joint disorders.
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2
Labor shortages and their impact on recruitment
Simple yet physically demanding work is often avoided, especially by young people, and chronic labor shortages have become an issue.
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3
Human error and quality variations
Another issue unique to manual work is the likelihood of problems occurring due to human error, such as incorrect loading or damage caused by products being dropped.
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4
Limits to productivity
With manual work, productivity is easily affected by the physical strength of the worker and the number of hours worked, making it difficult to maintain a stable high operating rate.
The palletizing system that utilizes collaborative robots is
We will solve these problems from the root.
Collaborative robots
Benefits of automation
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01
While ensuring safety
Automate palletizing work
Collaborative robots are designed to work in the same space as humans, so they can be installed and operated without safety fences and can even operate in limited installation spaces.
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02
Flexible responsiveness
Even if product sizes or stacking patterns change, simple teaching and programming can flexibly accommodate them. It is also suitable for high-mix, low-volume production sites.
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03
Stable productivity with 24-hour operation
Unlike manual labor, collaborative robots can operate without breaks, allowing for uniform work and even working at night and on holidays.
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04
Easy-to-install system configuration
Many collaborative robots have an intuitive interface, so even workers who are new to robots can learn to use them in a short amount of time.
Achieve speed and advanced automation
"ROKAE Palletizing Package"
By utilizing the characteristics of the collaborative robots mentioned above, we can automate palletizing work.
ROKAE palletizing packaging can achieve a high level of quality in a short period of time.
Introducing the main features of ROKAE palletizing packaging.
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Space-saving
Can be moved and installed -
Just enter the box size
Easy setup to get started -
Suitable for the installation environment
Provide safety measures (optional)
Results after introducing palletizing packaging
The following results can be expected at sites that have introduced palletizing packaging using ROKAE collaborative robots:
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Reduced worker burden and lower turnover
This relieves workers from heavy labor, improves the work environment, and leads to higher worker retention rates.
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Improving production efficiency
This reduces work time and improves quality through highly reproducible work.
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Cost reduction
In the long term, this will lead to reduced labor costs and create a stable production line where humans and robots work together.
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Promoting digital transformation on-site
Automation will lead to a review and digitalization of peripheral operations, leading to momentum for business reform across departments and throughout the company.
Now that we are facing a labor shortage, why not take your production site one step further by automating the palletizing process?
IDEC Factory Solutions will listen to your site and propose the optimal implementation plan.
