with Mr. Praneat Charoenrat
(General Manager of GTM Co., Ltd.)
with Mr. Praneat Charoenrat
(General Manager of GTM Co., Ltd.)
The continuous growth of the logistics industry, particularly driven by the expansion of e-commerce and international trade, faces challenges including labor shortages and various obstacles such as rising costs and fierce competition. Operators must adapt and implement technology solutions to remain competitive.
To increase efficiency, reduce costs, and create competitive advantages in the market, modern warehouse management focuses on implementing technology and automation systems. The Warehouse Management System (WMS) serves as the core of warehouse operations, integrating Cloud, IoT, and AI technologies to make operations more flexible and accurate.
Material handling equipment is critically important for moving, storing, controlling, and protecting materials and products throughout the processes of production, distribution, consumption, and disposal. Modern, well-designed MHE helps reduce workplace accident risks, enables fast and accurate product movement and storage, reduces time and minimizes operational errors.
This is the era of intelligent factories, where AMR robots, AI cameras on forklifts, and Telematics systems are key components revolutionizing warehouse management and logistics. These technologies don't work separately but integrate to create an intelligent ecosystem that maximizes product movement efficiency.
These robots can move products autonomously, making them a more flexible and cost-effective solution than traditional automation systems. The intelligence of AMRs lies in their ability to use sensors and maps to create their own paths and avoid obstacles in real-time, unlike older AGV robots that must follow magnetic strips. This provides much greater flexibility, enables 24-hour operation, reduces dependence on human labor, and significantly minimizes errors.
The integration of AI-powered cameras and sensors in forklifts enhances safety and prevents accidents. Installing cameras on forklifts isn't new, but adding AI (Artificial Intelligence) transforms them into "intelligent eyes" capable of much more than just seeing.
AI can detect and classify objects such as people, obstacles, or other vehicles, alerting drivers or even automatically stopping the vehicle to prevent accidents.
Can instantly scan barcodes/QR codes on boxes or pallets to verify product accuracy.
AI helps drivers gauge distance and positioning more accurately, reducing damage to products and storage shelves.
If AMRs are the muscles and AI cameras are the eyes, Telematics is like the "brain" of the entire operation. It's a system that collects data from every piece of equipment (both forklifts and AMR robots) and presents it for analysis.
Knows where each vehicle or robot is located and what it's doing, displaying working hours, battery status, and driving behavior to optimize usage planning for maximum value.
The system can alert when maintenance is due or when minor abnormalities are detected, reducing the chance of sudden equipment failure and downtime.
All three technologies work in coordination. For example, the Telematics system might command an AMR robot to deliver products to point A, then a forklift with AI cameras comes to lift those products onto a truck. The AI camera helps verify that the correct pallet is lifted and placed safely on the vehicle. All data is sent back to Telematics for real-time status recording.
Implementing these technologies represents a significant investment to reduce labor costs and accidents while increasing speed and accuracy in operations. This is the key to success in the Industry 4.0 competitive era.
Rising fuel and transportation costs create cost pressures for operators. Green Logistics has become an increasingly important trend as consumers and business partners prioritize sustainability, forcing logistics providers to adapt to reduce environmental impact.
The future of warehouse management is expected to integrate AI and machine learning for advanced automation systems and predictive analytics. Implementing technology in logistics management and connecting logistics networks across different areas will be key to increasing efficiency further.