Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/80133
Title: การพัฒนาระบบเทคโนโลยีความเป็นจริงผสม เพื่อการฝึกอบรมกำลังคนด้านโลจิสติกส์อัจฉริยะ สำหรับการตรวจเช็คสภาพรถโฟล์คลิฟท์
Other Titles: Development of a mixed reality technology System for training smart logistics personnel for forklift inspection
Authors: สุภาวณี กิจติถานนท์
Authors: ภราดร สุรีย์พงษ์
สุภาวณี กิจติถานนท์
Issue Date: Aug-2024
Publisher: เชียงใหม่ : บัณฑิตวิทยาลัย มหาวิทยาลัยเชียงใหม่
Abstract: Logistics is a critical component of business operations, requiring a high level of precision in the inspection and maintenance of machinery, particularly forklifts, which are essential for material handling. However, a significant issue is the lack of effective and practical training programs for employees to properly inspect vehicles before use, which can lead to safety risks and operational delays. This research presents the application of Mixed Reality (MR) technology to develop an immersive and engaging training system aimed at enhancing learning efficiency and workplace safety. This study was conducted with a sample of 57 logistics employees who underwent vehicle inspection training based on the "BE-WAGON" principles using MR technology through Microsoft Hololens. Knowledge assessments and satisfaction surveys were employed as tools to evaluate the outcomes, with data analyzed using statistical methods. The findings revealed that participants demonstrated high accuracy in identifying easily observable components, with an average accuracy rate of 100% for easily visible parts, such as wheels. In contrast, more complex components, such as brake fluid caps, had an average accuracy rate of only 20%. Additionally, the study indicated a high level of participant satisfaction, with an average satisfaction score of 4.13 out of 5, highlighting the potential of MR technology to enhance the quality of training and reduce real-world operational risks.
URI: http://cmuir.cmu.ac.th/jspui/handle/6653943832/80133
Appears in Collections:CAMT: Independent Study (IS)

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