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Systems· 2026Q2

Schedule-Informed Empty-Vehicle Dispatching for OHT Systems in Semiconductor Manufacturing

Jungwoo Ahn, Jihoon Bae, Hyojin Ahn, Seongjun Yu et al.

Short summary

A new dispatching method (SEVD) for semiconductor manufacturing's overhead hoist transport (OHT) systems reduces empty-vehicle approach travel by 26.3% (from 96.82s to 71.23s) and source wait time p90 by 6.8% (from 428.74s to 399.34s) compared to Hungarian assignment.

AI-generated from the title and abstract; the full text is not read.

Key points

  • SEVD proactively repositions idle OHT vehicles using schedule-derived spatial demand prior to pickup requests.
  • Experiments show SEVD reduces mean post-assignment empty-approach travel from 96.82s to 71.23s compared to Hungarian assignment.
  • Source wait time p90 is reduced from 428.74s to 399.34s with SEVD.
  • SEVD increases total empty travel by 17.8% and total travel distance by 6.8% to achieve performance gains.
  • The primary benefit of SEVD stems from proactive spatial repositioning, not precise temporal prediction.

AI-generated from the title and abstract; the full text is not read.

Abstract

Overhead hoist transport (OHT) performance affects the execution of semiconductor production schedules because transport delays postpone subsequent operations. This study develops the Scheduler and OHT Allocation Monitoring Simulator (SOMOS), an event-driven environment that integrates machine processing, transport request generation, OHT movement, and subsequent production execution. Based on SOMOS, we propose Schedule-informed Empty-Vehicle Dispatching (SEVD), which repositions idle OHT vehicles before pickup requests occur using immediate pickup demand, remaining processing information, and a schedule-derived spatial demand prior. SEVD retains the conventional HUNGARIAN assignment procedure for actual requests. Experiments compare SEVD with six benchmark dispatching methods over 20 paired seeds. Relative to HUNGARIAN assignment, SEVD reduces the mean post-assignment empty-approach travel from 96.82 s to 71.23 s and source wait p90 from 428.74 s to 399.34 s while maintaining production-level performance comparable to the strongest benchmarks. These gains are obtained by redistributing vehicle movement toward proactive repositioning, with total empty travel increasing by 17.8% and total travel distance by 6.8%. Fleet size and ablation experiments further show that the clearest benefit is associated with proactive spatial repositioning rather than precise temporal prediction. These results support interpreting SEVD as a framework for the proactive spatial repositioning of idle vehicles, while the incremental contribution of schedule-derived information was not statistically detectable in the present testbed.

The authors' abstract, as published at the source. Systems, 2026 · DOI ↗

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Field: Industrial and Manufacturing Engineering

Industrial and Manufacturing EngineeringEngineering