A surrogate model to predict production performance in digital twin-based smart manufacturing

• Main Authors: Chua, Ping Chong, Moon, Seung Ki, Ng, Yen Ting, Ng, Huey Yuen
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Mechanical engineering; Digital Twin; Production Performance
• Online Access: https://hdl.handle.net/10356/162248
• Institution: Nanyang Technological University

With the dynamic arrival of production orders and unforeseen changes in shop-floor conditions within a production system, production scheduling presents a challenge for manufacturing firms to ensure production demands are met with high productivity and low operating cost. Before a production schedul...