Industrial Automation Solutions

The SIA Descrambler can quickly delayer a pallet on a conveyor while separating, singulating, and orienting cases into a repeatable, controllable single file for processing. This creates a predictable and manageable flow which improves automation, reduces manual labor, increases throughput, and ensures system accuracy.

Our Print and Apply systems are engineered to streamline labeling in fast-paced production and distribution environments. This enables distribution centers to dispatch products more efficiently by minimizing operator handling and processing time within their facilities. Designed for full automation, each system includes:

• Barcode scanner to identify incoming products.
• Print and Apply unit to generate and place barcoded labels.
• Automated conveyor systems for smooth product induction, labeling, and routing.
• Verification scanner to confirm label accuracy.
• Integrated software that merges order data and communicates with your host system.

Cross-docking is a fast-moving logistics strategy where inbound products are immediately transferred to outbound transportation — no long-term storage needed. The benefits of cross-docking include reduced handling and storage time, accelerated shipping speed, minimized warehouse space requirements, and improved overall supply chain efficiency.

Streamline and accelerate the pick and pack process with the following technologies.

Pick-to-Light Systems

Pick-to-light systems are simple yet powerful tools that streamline warehouse picking by boosting speed, accuracy, and productivity, while helping you cut costs.

A pick-to-light system typically follows a straightforward process, although the specifics may vary depending on system requirements and the product. The first step involves the operator scanning the barcode linked to an order and then attaching it to a reusable container, like a tote. Then, LED displays light up to indicate where to pick the items and how many to grab at each location. The operator then picks the items, places them in a tote, and presses a button to confirm. This process repeats until it’s completed.

Voice Picking Systems

Voice picking improves warehouse efficiency by allowing operators to work hands-free and eyes-free, thereby increasing speed and accuracy. With real-time instructions delivered through a headset, workers can focus on tasks without handling paper or screens. This reduces errors, shortens training time, and boosts productivity. Additionally, voice systems can easily integrate with warehouse management software (WMS), providing real-time data tracking and inventory updates, leading to better decision-making and streamlined operations.

Robotic palletizing is an automated process that utilizes robots to load and arrange products onto pallets, improving efficiency, accuracy, and safety in the packing process. It’s often employed in industries such as food and beverage, automotive, consumer goods, and other applications that require high-speed and consistent palletizing tasks.

A conventional palletizer is a machine designed to automatically stack products onto pallets in a precise and stable pattern. These palletizers use advanced technology, including layer-forming mechanisms and pattern adjustments, to efficiently handle a wide range of product types while optimizing throughput and reliability.

AS/RS are computer-controlled systems that efficiently store and retrieve goods in warehouses or distribution centers. They use automated equipment, such as cranes, shuttles, or robots, to optimize space utilization, reduce labor costs, and improve inventory accuracy.

AGVs are mobile robots designed to transport materials or products within a facility without human intervention, following predetermined paths or using navigation technologies like lasers or magnetic strips. They are widely used in warehouses and manufacturing plants to increase efficiency, reduce labor costs, and improve safety.

AMRs are advanced robots that navigate and transport materials autonomously within a facility using sensors, cameras, and AI-based systems to map and adapt to their environment. Unlike AGVs, AMRs can operate more flexibly, adjusting their paths dynamically and interacting with their surroundings in real time.