Indonesian steel and metal producers are facing immense pressure. Global competition is fierce, local demand fluctuates, and operational costs, especially for energy and labor, are on the rise. For many, outdated packing lines have become a major bottleneck, leading to serious inefficiencies, safety hazards, and damaged products. This isn't just a minor inconvenience. A slow, manual packing process directly impacts your bottom line. It means slower delivery times, higher chances of workplace accidents, and coils that aren't protected well enough for transport, which leads to costly customer complaints. You're trying to compete on a global scale, but your packing line might be holding you back. The answer, as I've seen in my decades in this industry, lies in strategic automation. By embracing the right trends, Indonesian coil producers can transform their packing operations from a cost center into a powerful competitive advantage.
The key automation trends driving Indonesia's coil packing industry are the integration of IoT for real-time tracking and predictive maintenance, the adoption of robotics for heavy lifting and repetitive tasks, the implementation of unified data systems for seamless line control, and a growing focus on sustainable automation. These technologies work together to boost efficiency, improve safety, and increase profitability.

These trends might sound complex or expensive, but they are practical solutions to the real-world problems you face every day. They are about making your operations smarter, safer, and more cost-effective. Let's break down each of these areas. I want to show you exactly how they function and what they can mean for your facility. Throughout my journey, from an engineer on the factory floor to founding SHJLPACK, I've helped many clients navigate this technological shift. I want to share what I've learned with you.
How is the Internet of Things (IoT) Revolutionizing Coil Tracking and Predictive Maintenance?
Do you ever feel like you're operating in the dark? A coil leaves the slitter, moves to storage, and then heads to the packing line, but you lack real-time data on its exact status or location. When a machine on that line breaks down, it always seems to be a surprise, triggering unexpected and expensive downtime. This lack of visibility is a significant business risk. A lost or misidentified coil can disrupt your entire production schedule. An unforeseen breakdown can halt shipments for hours, or even days, damaging your reputation with customers who depend on you. You end up in a constant cycle of fixing problems after they occur, which is always more disruptive and costly than preventing them in the first place. The Internet of Things (IoT) provides the visibility and foresight you need. By embedding sensors in your equipment and on your products, you create a digital network that gives you complete control, turning reactive firefighting into proactive, predictive action.
IoT revolutionizes coil packing by using sensors on equipment and coils to generate real-time data. This allows for precise tracking of each coil throughout the facility, which eliminates loss and misidentification. For maintenance, these sensors monitor machine health indicators like vibration, temperature, and performance. This data allows AI-driven systems to predict potential failures before they happen, drastically reducing unplanned downtime and improving operational stability.

From Manual Logs to Live Data Streams
I remember the old days of clipboards and manual logs. An operator would write down a coil number, and that piece of paper was the only record. It was slow, and human error was common. Today, we can do so much better. IoT starts with simple identification. We attach a durable QR code or RFID tag to each coil as it's created. Scanners placed at key points—the end of the slitting line, the entrance to the warehouse, the start of the packing line—automatically track the coil's journey. There's no manual entry. The location and status of every single coil are visible on a central dashboard. This eliminates "lost" coils and ensures the right coil gets the right packing treatment every time. This simple change moves your operation from guesswork to data-driven precision. It's the foundation of a truly smart factory.
The Power of Predictive Maintenance
The real game-changer with IoT is predictive maintenance. Instead of waiting for a machine to fail, we listen to what it's telling us. We install small, inexpensive sensors on critical components:
- Vibration sensors on motors, gearboxes, and bearings can detect tiny changes in vibration that indicate wear and tear long before a catastrophic failure.
- Temperature sensors on hydraulic packs or electrical cabinets can warn of overheating issues.
- Cycle counters on strappers and wrappers track usage, allowing maintenance to be based on actual work performed, not just a generic calendar date.
This data is streamed to a central system that analyzes patterns. The system can then alert your team: "The main drive motor on Wrapper #2 is showing increased vibration. Recommend inspecting the output bearing during the next planned stop." This is how you achieve goals like 95% uptime.
I recall a client in Jakarta whose biggest headache was a conveyor motor that would burn out every six to eight months without warning, shutting down his entire line for a full shift. We installed a simple IoT sensor for vibration and temperature. After a few months, the system flagged a rising vibration pattern. We scheduled maintenance during a planned shutdown, replaced a single worn bearing that cost very little, and avoided a massive failure and a full day of lost production. That’s the power of IoT in action. It's not about complicated technology; it's about getting smart, targeted information that saves you money.
Feature | Reactive Maintenance (The Old Way) | Predictive Maintenance (The IoT Way) |
---|---|---|
Trigger | Equipment Failure | Data Anomaly (e.g., high vibration) |
Downtime | Unplanned, often long | Planned, minimal |
Costs | High (emergency repairs, lost production) | Low (scheduled part replacement, optimized labor) |
Spare Parts | Large, "just-in-case" inventory | Lean, "just-in-time" inventory |
Impact | Disrupts entire production schedule | Integrated into the production schedule |
What Role Do Robotics Play in Enhancing Safety and Efficiency?
The packing area is often one of the most physically demanding and hazardous parts of a steel facility. Your team members are constantly handling heavy strapping materials, lifting wooden separators, and working in close proximity to powerful machinery. This environment unfortunately leads to injuries, fatigue, and high employee turnover, which are challenges I know leaders worry about. An injury on the line is not just a personal tragedy for the worker; it is a major operational disruption for the business. It leads to investigations, lost workdays, and rising insurance premiums. Furthermore, relying on manual labor for repetitive, heavy tasks introduces inconsistency. A tired worker might not apply a label correctly or place a corner protector perfectly, leading to downstream quality issues and unhappy customers. Robotics and automated handling systems are the ideal solution. They can take over the most dangerous, repetitive, and physically demanding jobs, freeing your skilled workers to focus on higher-value tasks like quality control and process supervision.
Robotics play a vital role by automating high-risk and repetitive tasks within the coil packing line. For instance, robotic arms can precisely place corner protectors, apply labels, and handle heavy wooden pallets or separator sticks. Automated Guided Vehicles (AGVs) can transport coils safely between stations. This automation directly reduces workplace injuries, eliminates human error in repetitive jobs, and allows for continuous 24/7 operation, which boosts both safety and overall efficiency.

Targeting the "Three D's": Dull, Dirty, and Dangerous
When we at SHJLPACK evaluate a line for automation, we look for tasks that are dull, dirty, and dangerous. These are the perfect candidates for robotics. In coil packing, this includes:
- Separator and Pallet Handling: Manually lifting and placing heavy wooden blocks or pallets between coils is a primary cause of back injuries. A simple gantry robot can pick these from a stack and place them with perfect precision, tirelessly and safely.
- Corner Protection Application: Applying metal or plastic corner protectors manually is slow and can be inconsistent. A robotic arm with a custom gripper can apply them perfectly every time, ensuring the coil is protected and the strapping is effective.
- Label Application: Robots can apply labels to the exact same spot on every coil, ensuring they are straight and easily readable by barcode scanners in your warehouse or your customer's facility.
- Coil Transport: Instead of relying on overhead cranes or forklifts, which create safety risks, AGVs can be used to transport coils from one station to the next on a predefined path.
Collaboration, Not Just Replacement
A common fear is that robots will replace people. In my experience, the opposite is true. Automation elevates your workforce. It creates new, more skilled roles. Instead of performing manual labor, an employee becomes a technician who supervises a cell of three or four robots. This makes their job safer, more engaging, and significantly more productive. We often use "cobots," or collaborative robots, which are designed with advanced sensors to work safely alongside humans without heavy guarding. A person might handle the final quality check while the cobot does the heavy lifting.
I worked with a mill owner in Surabaya who struggled with employee retention in his packing department. The job of placing wooden separators between stacked coils was particularly hard on his workers' backs. We designed a system with a simple robotic gantry that picked up the separators and placed them on the coil. His injury rate in that department dropped to zero within a year. More importantly, he could re-assign those workers to more valuable roles like final inspection. The ROI wasn't just in efficiency; it was in employee well-being and retention. As someone who has worked his way up, I know that taking care of your people is just as important as the numbers on a spreadsheet.
How Can Integrated Data Systems Streamline the Entire Packing Line?
Take a look at your current packing line. It's likely a collection of machines from different suppliers, each with its own separate control panel. The operator at the down-ender doesn't have visibility into what the strapping machine is doing, and the strapping machine doesn't know if the wrapping machine is ready for the next coil. This creates a disjointed, inefficient process that relies on operators shouting across the floor or waiting for visual cues. This lack of communication between machines creates constant small delays that add up to a significant loss of time over a shift. It forces operators to make manual decisions, which can lead to errors in packing specifications. You can't get a single, clear picture of your line's performance, making it almost impossible to identify the true bottlenecks holding you back. An integrated data system, often part of a larger Manufacturing Execution System (MES), acts as the central brain for your entire packing line. It connects every machine, sensor, and operator, ensuring they all work together in perfect harmony.
Integrated data systems streamline the packing line by creating a single, unified control network. This system receives a "packing recipe" for each specific coil from the main plant MES and automatically configures every machine—the strapper, the wrapper, and the labeler—accordingly. This eliminates manual data entry, drastically reduces setup times between different coil types, and provides a centralized dashboard for real-time monitoring of the entire line's performance and Overall Equipment Effectiveness (OEE).

The Power of the "Packing Recipe"
The core concept of an integrated system is the "packing recipe." Here's how it works: a coil arrives at the start of the packing line. A scanner reads its ID tag. The MES immediately recognizes that coil and knows everything about it: its dimensions, its weight, the customer it's for, and the specific packing it requires. The MES then sends this "recipe" to the line's central PLC (Programmable Logic Controller), which instructs each machine:
- Coil Car: "Pick up the coil and deliver it to the strapping station."
- Strapping Machine: "Apply 4 radial straps using high-tensile steel strapping."
- Wrapping Machine: "Wrap with VCI paper, then apply 3 layers of stretch film with 250% pre-stretch."
- Labeler: "Print and apply a label with this specific barcode, customer name, and shipping information."
All of this happens automatically. The operator's job changes from manually setting up each machine to supervising the automated process, ensuring everything runs smoothly.
Connecting the Line to the Business
This integration goes beyond the packing line itself. The system communicates with your other business platforms. When a coil is fully packed and labeled, the system automatically updates your Enterprise Resource Planning (ERP) system. The inventory is updated, the sales department knows the order is ready, and the logistics team can schedule the truck. This creates a seamless flow of information from the factory floor to the front office. It allows you to track key performance indicators (KPIs) like coils per hour, material consumption per coil, and machine uptime with incredible accuracy. This is how you find and fix the real bottlenecks to improve overall output.
Aspect | Disjointed System | Integrated System (MES) |
---|---|---|
Operation | Manual setup at each machine | Automatic configuration via "recipes" |
Data | Isolated on individual machine HMIs | Centralized, real-time dashboard |
Error Rate | High (human input errors) | Extremely low (automated) |
Flexibility | Slow changeovers between coil types | Fast, automated changeovers |
Bottleneck ID | Difficult, based on observation | Easy, based on real-time OEE data |
I've witnessed the "before and after" of this integration many times. A client in Indonesia used to have changeover times of 15-20 minutes when switching from packing steel coils for the automotive industry to coils for construction. After we helped them implement an integrated MES link, that changeover became nearly instant. The system knew the next coil was coming and pre-adjusted all the settings automatically. This is exactly the kind of efficiency gain that helps a forward-thinking leader achieve ambitious goals like lowering overall operating costs by 8% or more.
Why is Sustainable Automation Becoming a Non-Negotiable for Indonesian Mills?
In the past, the main goal for many was simply production at any cost. But today, the business landscape has changed. Energy prices in Indonesia are volatile, and environmental regulations are rightly becoming more strict. Running old, inefficient packing machinery is like burning money every single shift. It also puts your company at risk of non-compliance fines and damages your brand's reputation. This isn't just about being "green" for the sake of it. High energy consumption directly eats into your profit margins. An inefficient stretch wrapper uses more film than necessary, which increases your material waste and costs. Older hydraulic systems that leak oil create environmental hazards and expensive cleanup jobs. Sooner or later, you may be forced to upgrade, but by then it will likely be a rushed, expensive emergency project rather than a strategic investment. Sustainable automation addresses these challenges head-on. It involves choosing modern equipment that is designed from the ground up to minimize the consumption of energy and materials, turning a potential liability into a source of savings and a competitive advantage.
Sustainable automation is becoming non-negotiable for Indonesian mills because it directly solves two critical challenges: high operating costs and stringent environmental regulations. Modern automated packing machines use high-efficiency electric motors instead of hydraulics, employ intelligent wrapping techniques to reduce film usage, and optimize every process to minimize energy consumption per coil. This delivers both significant cost savings and better environmental compliance.

Electrification Over Hydraulics
This is one of the most significant shifts in machine design I've seen in my career. Traditional packing lines often rely on a large, central hydraulic power unit to drive movements. These units are powerful, but they are notoriously inefficient. The pump often runs continuously, even when the machine is idle, consuming a massive amount of electricity. They also generate a lot of heat, which can make the work area uncomfortable, and they are noisy and prone to messy oil leaks.
Modern, sustainable automation is built on a different principle: decentralized, servo-electric motors. These smart motors are placed exactly where motion is needed. They use power only when they are actively moving, resulting in energy savings of up to 70% compared to hydraulics. They are also incredibly precise, much quieter, and exceptionally clean, eliminating the risk of oil contamination on your products or factory floor. This is a direct path to achieving a goal like reducing unit product energy consumption by 10%.
Smart and Efficient Material Usage
Sustainability is also about minimizing waste. It's not just about energy; it's about the consumables you use every day.
- Stretch Film: Old stretch wrapping machines have a very basic or non-existent film stretching system. Modern wrappers, like the ones we build at SHJLPACK, feature a powered "pre-stretch" carriage. This system can stretch the film by 300% or more before it's applied to the coil. This means one meter of film from the roll becomes four meters on your product. This innovation can cut your film consumption by 40-50%, a huge annual saving that goes straight to your bottom line.
- Strapping: Modern strapping heads offer precise tension control. The system ensures you use the exact amount of force needed to secure the coil—no more, no less. This prevents over-strapping, which wastes material, and under-strapping, which can lead to load failure.
Feature | Old Technology | Sustainable Automation |
---|---|---|
Power Source | Central Hydraulic Unit | Decentralized Servo-Electric Motors |
Energy Use | High, constant consumption | Low, on-demand consumption |
Material Waste | High (e.g., no pre-stretch) | Minimal (e.g., high pre-stretch) |
Noise/Leaks | High noise, risk of oil leaks | Quiet, clean operation |
Cost Impact | High energy & material bills | Lower utility & consumable costs |
As an engineer by training, I have a passion for efficiency. It’s why I started my own factory. This commitment is a core principle at SHJLPACK. We see our role not just as a machine supplier, but as a partner in helping you build a more profitable and sustainable business for the future.
Conclusion
Adopting these automation trends—IoT, robotics, integrated systems, and sustainability—is key for Indonesian producers to enhance efficiency, safety, and profitability in a competitive global market.