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An integrated spatial-temporal neural network for proactive throughput bottleneck prediction in high-variety shops with complex job routings

  • Published:2022-11-25 Issue: Volume: Page:1-13
  • ISSN:0020-7543
  • Container-title:International Journal of Production Research
  • language:en
  • Short-container-title:International Journal of Production Research

Author:

Ma Lin12,Qu Ting3,Thürer Matthias3,Wang Zaoqi4,Yuan Mingze1,Liu Lei1

Affiliation:

1. School of Management, Jinan University (Guangzhou), Guangzhou, People’s Republic of China

2. GBA and B&R International Joint Research Center for Smart Logistics, Jinan University (Zhuhai), Zhuhai, People's Republic of China

3. School of Intelligent Systems Science and Engineering, Jinan University (Zhuhai), Zhuhai, People’s Republic of China

4. College of Information Science and Technology, Jinan University (Guangzhou), Guangzhou, People’s Republic of China

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A cognitive digital twin for process chain anomaly detection and bottleneck analysis;Journal of Industrial and Production Engineering;2024-07-26
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