This project aims to propose a design for a red offal processing room in a pork processing plant that processes 500 pigs per day or 80 pigs per hour. Each pig weighs approximately 105 kilograms, with 3.47% of the weight consisting of red offal. The process involves separating liver, gall bladder, heart, lungs, spleen, and kidneys as required. These parts are then chilled in cold water to reduce their temperature to below 7°C before packaging and sealing. Sorting is based on the number of pieces and weight, depending on the type of product. The processing times of sorting chilling and packaging vary depending on the product's type and size. The design was developed using data collected from the current production line and referenced standards. The room layout was planned using Systematic Layout Planning (SLP) principles to analyze activity relationships within the room and define functional areas. Equipment sizes and the required number of operators were calculated to ensure optimal use of space. The red offal processing room was designed with an area of 56 square meters. After the layout design was completed, a 3D model was created using SketchUp 2024, and the workflow and operations were simulated and analyzed using Flexsim 2024
บริษัท เบทาโกร จำกัด (มหาชน) ได้มีแผนการขยายโรงงานแปรรูปสุกรทั้งในประเทศและต่างประเทศ การออกแบบกระบวนการผลิตจึงเป็นสิ่งสำคัญที่ทำให้โรงงานที่จะก่อตั้งนั้นสามารถใช้งานได้อย่างมีประสิทธิภาพทั้งในด้านกระบวนการการผลิตและความสะอาด เพื่อทำให้สินค้าที่ส่งมอบแก่ผู้บริโภคมีคุณภาพที่ดี โดยผลิตภัณฑ์ที่สำคัญของโรงงานแปรรูปสุกร ได้แก่ กลุ่มชิ้นส่วนสุกรตัดแต่ง และกลุ่มเครื่องในสุกร ซึ่งประกอบไปด้วยเครื่องในแดง และเครื่องในขาว โครงงานนี้ได้รับมอบหมายให้ศึกษากระบวนการทำงานเพื่อออกแบบห้องเครื่องในแดงให้รองรับการผลิตที่สูงขึ้นและมีความหลากหลายของผลิตภัณฑ์มากขึ้น โดยกระบวนการทำงานภายในห้องถูกต้องเป็นไปตามหลักการปฏิบัติที่ดีสำหรับโรงแปรรูปสุกรของกรมปศุสัตว์
คณะสถาปัตยกรรม ศิลปะและการออกแบบ
This conceptual model, inspired by the Rose Window in Gothic architecture, embodies intricate geometric patterns that reflect divine harmony and balance. Its symmetrical structure and the interplay of light passing through stained glass create a sense of movement, enhancing the sacred and mystical atmosphere. The composition evokes a celestial presence, like a window to heaven.
คณะเทคโนโลยีสารสนเทศ
This report is part of applying the knowledge gained from studying machine learning models and methods for developing a predictive model to identify customers likely to cancel their credit card services with a bank. The project was carried out during an internship at a financial institution, where the creator developed a model to predict customers likely to churn from their credit card services using real customer data through the organization's system. The focus was on building a model that can accurately predict customer churn by selecting features that are appropriate for the prediction model and the unique characteristics of the credit card industry data to ensure the highest possible accuracy and efficiency. This report also covers the integration of the model into the development of a website, which allows related departments to conveniently use the prediction model. Users can upload data for prediction and receive model results instantly. In addition, a dashboard has been created to present insights from the model's predictions, such as identifying high-risk customers likely to cancel services, as well as other important analytical information for strategic decision-making. This will help support more efficient marketing planning and customer retention efforts within the organization.
คณะวิศวกรรมศาสตร์
In this project, we introduce Power Grid Analyzer (PGAz), an open-source software package based on MATLAB, specifically designed for analyzing and controlling future power grids. Initially, PGAz is equipped with four fundamental features: power flow (PF), optimal power flow (OPF), small-signal stability analysis (SSSA), and time-domain simulation (TS). At this stage, Part I concentrates on the development of PF and OPF. The formats of our developed tool are presented, along with its command prompts. In this part, we have developed several conventional yet effective methods in the PGAz package to address PF and OPF problems, including techniques such as the Newton-Raphson method, Gauss-Seidel method, Interior Point Method, Iwamoto’s method, Fast Decoupled Load Flow, Genetic Algorithm, and Particle Swarm Optimization. Additionally, it emphasizes important aspects, algorithms, and various case studies that have been tested against IEEE benchmarks ranging from the IEEE 5-bus to the IEEE 300-bus test systems. The results demonstrate the capabilities of PGAz for future educational and research applications in PF and OPF. Finally, we outline a plan for developing Part II, which will mainly focus on SSSA and TS.