Grerg Suriyamanee. Agriculture stock management in cold chain warehouse with the early warning platform using internet of things technology. Master's Degree(Digital Technology Management). Chiang Mai University. Library. : Chiang Mai University, 2025.
Agriculture stock management in cold chain warehouse with the early warning platform using internet of things technology
Abstract:
Nowadays, consumers have more diverse factors influencing their product and service selection. The product 's quality and standard are among the factors that are becoming more crucial, whether it is general merchandise or food-related products. The food products, such as meat, vegetables, and fruits, are categorized as agricultural goods, which are required to maintain their quality during storage and transportation from farmers to consumers. It is also categorized in the Perishable food group, as the limitation is that these products have a limited shelf life and can deteriorate easily. Controlling an appropriate environment, such as maintaining a specific temperature and humidity, could slow down the spoilage caused by the growth of bacteria. Cold chain logistics plays an important role in storing, transporting, and maintaining quality and freshness.This study aims to develop an information management system with an early warning platform to manage the inventory stored in the warehouse. It also aims to improve the current practice implemented in a warehouse in the depositing and withdrawing processes. The cold chain warehouse theory was used to better understand guidelines regarding managing the warehouse, along with Post-Harvest Management theory, which explains the proper handling procedure after the product has been harvested to keep its quality and freshness. Value Stream Mapping theory is also used in this study to improve the workflow. The author collected products deposited and withdrawn in room 1 of the case-study warehouse. Also, the collected environmental data, including temperature and humidity, provides the warehouse 's current environment in a big picture.The analysis found a dynamic range of products stored inside the case study warehouse. The products include fresh vegetables, fruits, meat, and even flowers, which were stored. However, 16 products have the transaction of depositing and withdrawing during the 4 months of the collected data. The author used 16 products as a baseline in the analysis. According to post-harvest management theory, each product has specific characteristics regarding temperature and humidity. It was found that most of the products can be stored within the same room and in similar environmental conditions of temperature and humidity. The Value Stream Mapping (VSM) was deployed to analyze the current warehouse practice. The analysis found that in the depositing process, the lead time takes nearly 270 minutes to complete the process, while taking 140 minutes in the withdrawing process. It also found complications within the current practice that could be improved. The author proposed the future state value stream mapping, eliminating the unnecessary waiting time, resulting in 130 minutes for the depositing process and 25 minutes for the withdrawing process.Furthermore, the author used the analyzed information to design the information management system for managing the inventories. Also, the Internet of Things technology (IoT) and LINE Messaging API will be integrated for advanced notifications for the products that require withdrawal based on the near-expiration data, in the event of sudden changes in environmental factors. These features could alert designated personnel, resulting in appropriate actions being taken.