Design factor identification to develop a sustainable smart product: case study on digital twin model for smart factory

• Main Author: Ganesan, Vinod
• Other Authors: Moon Seung Ki
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2023
• Subjects: Engineering::Industrial engineering
• Online Access: https://hdl.handle.net/10356/167997
• Institution: Nanyang Technological University

This study explores the use of digital twin technology, a virtual mirror of a physical object, in the context of smart factories and has developed a smart camera based on the principles of sustainability for Yangbum Engineering Pte Ltd., a Singapore-based engineering firm, to get valuable insights for optimising manufacturing processes and improving overall equipment performance. The camera captures images of the production line and analyses them to figure out product lead time, machine breakdowns, operator performance, preventive maintenance and OEE, ensuring sustainable use and efficiency of machines running in production by identifying abnormalities in production, helping prevent downtime and reducing waste. The testing was done only on a mock-up model due to camera quality limitations, limited access to the production shop floor and time and budget constraints. This system has the potential to be used in a variety of settings and can be customized to meet specific requirements. One potential limitation of the system is the alteration to the surroundings which may require additional calibration and configuration for identifying the location of the LEDs within the system. This study contributes to the advancement of sustainable design practices in smart factories and has significant positive impacts on the environment, economy, and society. Keywords: Digital Twin (DT), RAMI 4.0, Industry 4.0, Smart factory, Sustainability