| Title |
Sequence Analysis of Modular Building Manufacturing Using a Spatiotemporal State Transition Prediction and Simulation Framework |
| Authors |
이시현(Lee, Si-Hyeon) ; 유무영(Yoo, Moo-Young) |
| DOI |
https://doi.org/10.5659/JAIK.2026.42.6.369 |
| Keywords |
Modular Manufacturing Process; Process Network Modeling; Process Simulation; Manufacturing Sequence Analysis |
| Abstract |
This study presents a state-transition-based predictive simulation framework for analyzing manufacturing sequences and dynamic bottlenecks in
modular construction factories. The manufacturing system is modeled as a spatiotemporal network in which production stations and buffers
transition among discrete states such as Idle, Processing, Waiting, and Blocked to capture bottleneck dynamics and congestion propagation. A
discrete-event simulation model evaluates alternative production sequences and resource allocation strategies using time-dependent state
trajectories, generating congestion indicators for dynamic module release control. Five experimental scenarios are compared using key
performance indicators such as lead time, throughput, work in progress, and resource utilization. The results show that the proposed approach
reduces lead time and variability in work in progress, while increasing throughput and easing resource oversaturation. These findings indicate
improved operational performance and more stable flow behavior in modular manufacturing systems. |