This innovation reduces costs and enhances queue management efficiency in restaurants, ensuring an organized system, minimizing wait times, and improving customer handling.
หลายร้านอาหารเผชิญปัญหาในการจัดการลำดับคิวลูกค้า โดยเฉพาะเมื่อจำนวนเครื่องเพจเจอร์หรือระบบเข้าคิวไม่เพียงพอรองรับลูกค้าทั้งหมด อีกทั้งอุปกรณ์เหล่านี้ยังมีต้นทุนสูงและต้องใช้ทรัพยากรในการผลิตและบำรุงรักษาอย่างต่อเนื่อง ด้วยเหตุนี้ ผู้พัฒนาจึงเล็งเห็นถึงโอกาสในการปรับปรุงระบบดังกล่าว และได้นำเสนอนวัตกรรมที่ช่วยให้ร้านอาหารลดต้นทุนที่ไม่จำเป็น พร้อมเพิ่มประสิทธิภาพในการจัดการคิวได้อย่างคุ้มค่าและมีประสิทธิผลยิ่งขึ้น
วิทยาเขตชุมพรเขตรอุดมศักดิ์
This research focuses on the design and development of a prototype Artificial Intelligence of Things (AIoT) system for monitoring and controlling irrigation using weather information. The system consists of four main components: 1) Weather Station – This component includes various sensors such as air temperature, relative humidity, wind speed, and sunlight duration, among others, to collect real-time weather data. 2) Controller Unit – This unit is equipped with machine learning algorithms or models to estimate the reference evapotranspiration (ETo) and calculate the plant’s water requirement by integrating the crop coefficient (Kc) with other plant-related data. This enables the system to determine the optimal irrigation amount based on plant needs automatically. 3) User Interface (UI) and Display – This section allows farmers or users to input relevant information, such as plant type, soil type, irrigation system type, number of water emitters, planting distance, and growth stages. It also provides a display for monitoring and interaction with the system. 4) Irrigation Unit – This component is responsible for controlling the water supply and managing the irrigation emitters to ensure efficient water distribution based on the calculated requirements.
คณะสถาปัตยกรรม ศิลปะและการออกแบบ
Toys Design from Scrap Wood Waste by Pallet Maker Group Co., Ltd.
คณะวิศวกรรมศาสตร์
This research aims to reduce the time required to resolve customer issues by focusing on improvements based on lean principles and the application of technology. The researcher conducts the case study at Nexter Digital and Solution Co., Ltd. to enhance workflows, establish new work standards, and integrate Bot technology into the processes to reduce resolution time and set new performance benchmarks for the company. The research proposes key ideas, such as identifying the root cause of problems, reducing redundant processes, implementing Lean methodologies, and applying technology to streamline operations. The research identifies two main issues to be resolved. The first involves addressing customer complaints, where the results show that the average resolution time reduces from 5 days to 3 days, representing a 38% decrease. The second issue involves solving problems for vendors, where the results show that the average response time reduces from 20 minutes to within 1 minute, a 98.5% decrease. The findings from both cases not only improve customer service but also establish a new standard for responding to and resolving internal issues more efficiently.