Sarcouncil Journal of Engineering and Computer Sciences

Abstract: High-end visual effects (VFX) simulation projects involve complex, computation-intensive workflows that often lead to extended production timelines due to the integration of physics-based modeling, iterative simulation processes, and high-resolution rendering requirements. This study investigates the determinants of production time length across simulation-driven pipelines, focusing on the transition from initial crafting to final output generation. A quantitative analytical framework was employed to assess the influence of key simulation parameters, including solver resolution, timestep frequency, particle density, render sampling rate, GPU utilization, and task scheduling efficiency on total production duration. Multivariate regression analysis revealed that fidelity-enhancing parameters significantly increase processing time, whereas optimized computational resource allocation mitigates workflow latency. Principal component analysis was further utilized to construct a Simulation Intensity Index, demonstrating a strong positive relationship between aggregated simulation complexity and production time length. Cluster-based dependency mapping indicated that delays originating in upstream simulation stages propagate downstream into rendering and compositing processes, amplifying cumulative temporal inefficiencies. The findings highlight the importance of predictive time-length management frameworks capable of balancing creative simulation demands with computational performance. Implementing adaptive optimization strategies across workflow stages can facilitate efficient progression from crafting to final output while maintaining simulation fidelity and delivery timelines.