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Simulated Factory Environment Design
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Linked challenge: Multi-Agent Resource Optimization for In-Space Factories
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Linked challenge
Multi-Agent Resource Optimization for In-Space Factories
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Design a Python-based discrete-event simulation environment for an in-space manufacturing factory. Define at least three types of manufacturing units, two types of raw materials, and a power source. Model resource consumption rates, production times, and interdependencies between units. The simulation should accurately track resource levels, production queues, and agent states over time.
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