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A threshold- and priority-based dispatching rule for the simulation-based dynamic scheduling optimization in automated manufacturing systems

Yajie Yang et al.

SIMULATION: Transactions of The Society for Modeling and Simulation International2025https://doi.org/10.1177/00375497251328047article
AJG 1
Weight
0.44

What the paper says

Efficient production planning is a critical and challenging task in Make-To-Order (MTO) Automated Manufacturing Systems (AMSs), requiring a flexible production process capable of managing large volumes of highly-customized orders while preventing resource contention. Considering the timing of customers’ needs and the availability of production resources, it becomes important to find an efficient order-dispatching sequence to optimize the coordination across multiple production units. To achieve this, a simulation model is essential to evaluate and validate the proposed algorithm’s performance prior to real-world implementation. In this study, a heuristic algorithm based on a Threshold- and Priority-Based Dispatching Rule (TPDR) is presented aimed at minimizing flow time while avoiding potential deadlocks and meeting key performance indicators (KPIs). The proposed heuristic is integrated into a discrete-event simulation (DES) framework, allowing for dynamic adjustments to the dispatching sequence of high-volume and highly-customized orders based on real-time system/machine performance. To assess its effectiveness, a case study of a Mail Order Pharmacy Automation (MOPA) system is conducted within three DES models, comparing the proposed TPDR-based heuristic with three widely used dispatching rules. The simulation results demonstrate that the TPDR-based heuristic algorithm significantly enhances productivity and eliminates production bottlenecks while maintaining throughput levels.

3 citations

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https://doi.org/https://doi.org/10.1177/00375497251328047

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@article{yajie2025,
  title        = {{A threshold- and priority-based dispatching rule for the simulation-based dynamic scheduling optimization in automated manufacturing systems}},
  author       = {Yajie Yang et al.},
  journal      = {SIMULATION: Transactions of The Society for Modeling and Simulation International},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1177/00375497251328047},
}

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A threshold- and priority-based dispatching rule for the simulation-based dynamic scheduling optimization in automated manufacturing systems

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Evidence weight

0.44

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.32 × 0.4 = 0.13
M · momentum0.57 × 0.15 = 0.09
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.