This cooperative education project aims to enhance speed and facilitate the verification process for stock issuance, transfers, distributions, and receipts in the warehouse. The primary focus is to address issues related to wasted time and delays in operational processes. Through analysis, it was found that SAP, the current system, involves complex processes requiring specialized expertise. Although the company has developed the iWarehouse system to improve efficiency, delays and procedural complexity persist. To resolve these challenges, Power BI was utilized to visualize data related to stock issuance, transfers, distributions, and receipts, allowing warehouse staff to work more efficiently by minimizing waste and accelerating processes. Additionally, Power Automate was integrated to automate the processing of received stock numbers from emails, reducing errors and delays caused by manual data entry. The results of this improvement indicate a significant increase in employee efficiency and a noticeable reduction in wasted time. Upon project completion, the findings and development approach will be provided to the company for further enhancement.
เนื่องจากในกระบวนการทำงานในคลังสินค้า ในหน่วยงานส่วนจัดหาและบริหารพัสดุ กรณีศึกษาบริษัท ปตท. จำกัด (มหาชน) ศูนย์ปฏิบัติการชลบุรี มีเวลาสูญเปล่าเกิดขึ้นเป็นจำนวนมาก และมีกระบวนการทำงานที่ซับซ้อน และยังขาดเครื่องมือหรือเทคโนโลยีสมัยใหม่
คณะวิศวกรรมศาสตร์
The project uses artificial intelligence (AI) and deep learning to develop a smart police system (Smart Police) to analyze the identity of individuals and vehicles suspected of involvement in crimes. The system uses CCTV cameras to detect people with concealed weapons and track vehicles involved in crimes. The system also sends alerts to the police when a crime is detected. The Smart Police system is a collaboration between the Faculty of Engineering, King Mongkut's Institute of Technology Ladkrabang, the Provincial Police Region 2, the Chachoengsao Foundation for Development, and the Smart City Office of Chachoengsao Province. The system is designed to prevent and deter crime, increase public safety and order, and build a network of cooperation between the government, the private sector, and the community. The system is currently under development, but it has the potential to be a valuable tool for law enforcement. The system could help to reduce crime and improve public safety in Chachoengsao Province and other parts of Thailand.
คณะวิศวกรรมศาสตร์
Currently, lithium batteries are widely used in electronic devices and electric vehicles, making the estimation of their State of Health (SOH) crucial. Accurate SOH estimation helps extend battery lifespan, reduce maintenance costs, and prevent safety issues such as overheating or explosions. This project aims to study and analyze mathematical models of batteries and develop SOH estimation techniques using Neural Networks to enhance accuracy and evaluation speed. The experiment involved collecting charge and discharge data from three lithium battery cells under controlled temperature conditions while maintaining a constant current. The current, voltage, and time data were recorded and analyzed to determine the battery capacity for each cycle. These data were then used to train a Neural Network model. The results demonstrated an effective method for predicting battery health status. The outcomes of this project can contribute to the development of a Battery Management System (BMS) that improves battery efficiency and longevity. Additionally, it provides a foundation for applying artificial intelligence techniques in the energy sector effectively.
คณะวิทยาศาสตร์
This research will begin with a review of literature and related studies to examine existing technologies and methods for hand gesture recognition and their applications in controlling electronic devices such as drones, robots, and gaming systems. Subsequently, a hand gesture recognition system will be designed and developed using machine learning and computer vision techniques, with a focus on creating an algorithm that operates quickly and accurately, making it suitable for real-time control. The developed system will be tested and refined using various simulated scenarios to evaluate its efficiency and accuracy in diverse environments. Additionally, a user-friendly interface will be developed to ensure accessibility for all user groups. The research will also incorporate qualitative studies to gather feedback from both novice users and experts, which will contribute to further system improvements, ensuring it effectively meets user needs. Ultimately, the findings of this research will lead to the development of a functional prototype for gesture-based control, which can be applied in industries and entertainment. This will contribute to advancements in innovation and new technologies in the future.