A decision-making method for assembly sequence planning with dynamic resources
Author:
Affiliation:
1. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, People’s Republic of China
Funder
National Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207543.2021.1937748
Reference35 articles.
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5. A three-stage integrated approach for assembly sequence planning using neural networks
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