Page 69 - FoodFocusThailand No.241 May 2026
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STORAGE, HANDLING & LOGISTICSORAGE, HANDLING & LOGISTICS
TRANSFORMING INDUSTRIAL WAREHOUSE
AND LOGISTICS SYSTEMS WITH DIGITAL TECHNOLOGIES
In an era where the food and beverage industry faces challenges related to costs, labor, and increasing
demands for data transparency, digital technologies have become a key enabler for enhancing the efficiency
of warehouse and logistics systems. These technologies not only improve data accuracy but also reduce
losses and strengthen competitive capabilities.
This article presents an overview of key technologies robot picking routes. These technologies significantly improve
that play an important role in the development of warehouse productivity, reduce picking time, and minimize human errors.
and transportation systems, focusing on issues related to 3. Cloud and Fog Computing
storage, movement, and control of goods within warehouses. Cloud technology enables stakeholders across the supply
These aspects are particularly critical for the food and chain to access the same data in real time via internet networks,
beverage industry, which requires continuous maintenance of enhancing data transparency and allowing systems to scale
product quality and safety. The key warehouse and logistics according to operational needs while reducing hardware
technologies to watch are as follows: investment costs. Fog Computing, or Edge Computing, brings
1. Smart Pallet Technology and Asset Tracking computational processes closer to the data source, such as
Systems within warehouse facilities. This approach reduces latency,
Smart pallets are among the core technologies that enables rapid data analysis, and enhances data security.
enhance visibility across the supply chain. These pallets 4. Drone Applications for Transportation Efficiency and
are equipped with IoT sensors, RFID, Bluetooth Low Energy Sustainable Agriculture
(BLE), or GPS modules to report location and product status Drones have become an important tool in logistics
in real time. This reduces errors associated with manual data operations, particularly in last-mile delivery, where they can
entry and helps resolve discrepancies in inventory records. increase delivery efficiency by up to 50 percent and reduce
In addition, hybrid tracking systems are increasingly costs by as much as 80 percent compared to conventional
adopted, where RFID is used for monitoring large volumes transportation methods. Beyond transportation, drones
of goods, while BLE is applied for tracking high-value assets also play a significant role in agriculture, including crop field
or items at risk of loss. GPS combined with BLE can also surveying and inventory management. Their application can
enable Automated Proof of Delivery when pallets move increase productivity by approximately 16.9 percent while
beyond predefined GPS locations. reducing operational costs by around 22.4 percent. In addition,
2. Artificial Intelligence (AI) and Big Data thermal sensing technologies allow for the early detection of
The integration of AI and Big Data into logistics plant diseases, reducing the need for chemical usage and
systems enhances planning accuracy and decision-making supporting environmentally sustainable practices.
processes, particularly in demand forecasting. By analyzing
historical data together with environmental factors such as Cybersecurity: A Critical Challenge
seasonal trends and consumer behavior, organizations While IoT technologies improve data management efficiency,
can reduce excess inventory levels by up to 50 percent. they also increase cybersecurity risks, such as unauthorized
Furthermore, AI and machine learning algorithms are widely modification of temperature data, GPS signal interference, and
applied in automated warehouse systems, such as optimizing Distributed Denial of Service (DDoS) attacks using IoT devices.
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