https://jaehyeon.me/tags/simpy/Recent content in SimPy on Jaehyeon KimHugo -- gohugo.ioenCopyright © 2023-2026 Jaehyeon Kim. All Rights Reserved.Mon, 25 May 2026 00:00:00 +0000https://jaehyeon.me/blog/2026-05-25-dynamic-des-parquet-support/Mon, 25 May 2026 00:00:00 +0000https://jaehyeon.me/blog/2026-05-25-dynamic-des-parquet-support/Training a machine learning model on simulated data is straightforward until you try to deploy it. The disconnect usually happens at the pipeline level: training requires massive, historical batch data (like Parquet files in an S3 bucket), but production inference requires real-time, event-driven streams (like Kafka or Redis). Maintaining two separate simulation codebases, one for generating training data and another for streaming live events, introduces friction, schema mismatches, and duplicated engineering effort.https://jaehyeon.me/blog/2026-04-28-digital-twin-dynamic-des/Wed, 29 Apr 2026 00:00:00 +0000https://jaehyeon.me/blog/2026-04-28-digital-twin-dynamic-des/Asynchronous Gap In Part 1, we established that a true Hybrid Digital Twin does more than just mirror reality. It actively forecasts the future by running a simulation against live operational states. If you have ever tried to build one of these systems from scratch, you immediately hit a fundamental architectural clash. Standard simulation clocks (like those in traditional SimPy implementations) are logically synchronous and not designed to handle high-frequency asynchronous I/O without explicit decoupling.https://jaehyeon.me/blog/2026-04-23-digital-twin-industry-4-0/Wed, 22 Apr 2026 00:00:00 +0000https://jaehyeon.me/blog/2026-04-23-digital-twin-industry-4-0/Beyond CAD Models There is a project by Dassault Systèmes called the Living Heart that illustrates the trajectory of this technology. Instead of relying on standard 2D scans, surgeons can pull up a high-fidelity 3D model of a patient’s heart that simulates blood flow, mechanics, and electricity based on imaging-derived reconstructions and population-based physiological calibration. While the Living Heart is closer to a personalized, highly-parameterized simulation than a continuously streaming IoT system, it highlights the core philosophy of a modern digital twin: moving past static CAD files to create models that are fundamentally aligned with a specific, real-world physical instance.