Paper [14], in preparation

SURGE: A Human-in-the-Loop Framework That Recovers Hidden Urgency from Supervisor Overrides and Applies It to Every Maintenance Dispatch

Ku Chia, T. P., and Zhang, Z.*

Summary

SURGE is a human-in-the-loop method that recovers hidden work-order urgency from supervisor overrides and applies it to later dispatch decisions.

Cite

@unpublished{kuchiasurge,
  title     = {SURGE: A Human-in-the-Loop Framework That Recovers Hidden Urgency from Supervisor Overrides and Applies It to Every Maintenance Dispatch},
  author    = {Ku Chia, T. P. and Zhang, Z.},
  note      = {In preparation}
}

All publications (15)

  1. [6]

    Time-Lag-Aware Deep Reinforcement Learning for Flexible Job-Shop Scheduling in PPVC Module Factories

    Zhang, Z., and Zhang, W.*

    IEEE Transactions on Industrial Informatics.

  2. [7]
  3. [8]

    FM-CrossTraining: Computational Framework and Open Benchmark for Multiskill Maintenance Dispatching

    Zhang, Z.*, and Ku Chia, T. P.

    ASCE Journal of Computing in Civil Engineering. Major revision.

  4. [9]

    Which Assets Deserve Attention First? Metric Choice and Budget Risk in Maintenance Prioritization from Infrastructure Work-Order Records

    Ku Chia, T. P., Hu, F., and Zhang, Z.*

    ASCE Journal of Infrastructure Systems. Major revision.

  5. [10]

    An Open CMMS-Derived Benchmark for Building-Maintenance Work-Order Dispatching with a Decision Map Keyed on Crew Utilization

    Zhang, Z.*, Ku Chia, T. P., and Tang, J.

    ASCE Journal of Computing in Civil Engineering.

  6. [12]

    PACT: Policy Across Composable Timing Rules with a Certified Reward for Flexible Job-Shop Scheduling

    Zhang, Z., and Zhang, W.*

    IEEE Transactions on Industrial Informatics (target venue).

  7. [13]

    BOLT: Multi-Bottleneck Bound-Guided Learning for Flexible Job-Shop Scheduling with Time Lags and Resource-Coupled Transport

    Zhang, Z., and Zhang, W.*

    IEEE Transactions on Automation Science and Engineering (target venue).