Page 69 - FoodFocusThailand No.241 May 2026
P. 69

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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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