Next generation batch process scheduling and management
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Updated
Jul 23, 2026 - Python
Next generation batch process scheduling and management
Reference implementation of a Resource-Task Network (RTN) scheduler for modular plants — CP-SAT model with recipe normalization, ISA-88 BatchML import/export, and schedule validation (IECON 2026)
Discrete-event simulation benchmark for LLM request cancellation handling, measuring wasted compute, KV residency overhead, and survivor latency recovery across polling and push-based strategies.
ML-driven batch scheduling optimization for pharmaceutical manufacturing. 92.5% prediction accuracy. Statistical analysis with JASP, simulation with Python.
Research companion: Heuristic scheduling strategies for single-reactor pharmaceutical batch production under uncertainty. Statistical analysis (JASP) + visualization (Python). Dataset, scripts, and JASP files included.
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