# Digital twin driven dynamic scheduling of discrete manufacturing workshop with transportation resource constraint using multi-agent deep reinforcement learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/digital-twin-driven-dynamic-scheduling-of-discrete-manufacturing-workshop-with/

## Facts

| Field | Value |
| --- | --- |
| Author Names | S. Geng,Shaohua Huang,Yu Guo,Weiwei Qian,Weiguang Fang,Litong Zhang,Shengbo Wang |
| Citations | 17 |
| DOI | 10.1016/j.rcim.2025.103042 |
| Fields | Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4409978627 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Weiwei Qian](https://scholariq.org/researchers/weiwei-qian/)
- [Shengbo Wang](https://scholariq.org/researchers/shengbo-wang/)

## Paper journal

- [Robotics and Computer-Integrated Manufacturing](https://scholariq.org/journals/robotics-and-computer-integrated-manufacturing/)

## Paper primary topic

- [Scheduling and Optimization Algorithms](https://scholariq.org/topics/scheduling-and-optimization-algorithms/)

## Paper topics

- [Scheduling and Optimization Algorithms](https://scholariq.org/topics/scheduling-and-optimization-algorithms/)
- [Digital Transformation in Industry](https://scholariq.org/topics/digital-transformation-in-industry/)
- [Advanced Manufacturing and Logistics Optimization](https://scholariq.org/topics/advanced-manufacturing-and-logistics-optimization/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.