An AI Planning Approach to Factory Production Planning and Scheduling-Reference-Cited by-同舟云学术

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An AI Planning Approach to Factory Production Planning and Scheduling

Published:2022-02 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Machine Learning and Knowledge Engineering (MLKE)
language:
Short-container-title:

Author:

Liu Jie¹,Liang Ruishi²,Xian Junwei³

Affiliation:

1. School of Computer Science and Engineering University of Electronic Science and Technology of China,Chengdu,China

2. School of Computer Science University of Electronic Science and Technology of China, Zhongshan Institute,Zhongshan,China

3. School of Computer Guangdong University of Technology,Guangzhou,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9763553/9763490/09763614.pdf?arnumber=9763614

Reference8 articles.

1. A systemic approach to define and characterize Advanced Planning Systems (APS)

2. Analysis, design and development of advanced planning systems

3. Learning classical planning strategies with policy gradient;gomoluch;Proceedings of the International Conference on Automated Planning and Scheduling,2019

4. Learning generalized reactive policies using deep neural networks;groshev;Proceedings of the International Conference on Automated Planning and Scheduling,2018

5. Learning domain-independent planning heuristics with hypergraph networks;shen;Proceedings of the International Conference on Automated Planning and Scheduling,2020

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1. Hierarchical online automated planning for a flexible manufacturing system;Robotics and Computer-Integrated Manufacturing;2024-12

2. An Organized Review of Machine Learning (ML) Perspectives in Manufacturing and Quality Control Processes;2023 International Conference on Power Energy, Environment & Intelligent Control (PEEIC);2023-12-19

3. Solving Injection Molding Production Cost Problem Based on Combined Group Role Assignment with Costs;Web Information Systems Engineering – WISE 2023;2023

4. Optimization of Binary Tournament and Reciprocal Exchange in the Genetic Algorithm for Flexible Scheduling Problem;2022 International Conference on Electrical and Information Technology (IEIT);2022-09-15

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