Pulsating Assembly Production Personnel Scheduling Technology Based on Improved Genetic Algorithm

Author:

Chen Shuangyue1,Zhang Niansong1,Wang Aimin2

Affiliation:

1. Nanjing University of Science and Technnology,Department of Mechanical Engineering,Nan Jing City,Jiang Su Province,China,210084

2. Beijing University of Technology,School of Mechanical Engineering,Beijing,China,100081

Publisher

IEEE

Reference7 articles.

1. Genetic Algorithm for Scheduling of Laboratory Personnel

2. NSGA-II algorithm and application for multi-objective flexible workshop scheduling;wang;Journal of Algorithms & Computational Technology,2020

3. Personnel scheduling based on personnel task matching in flexible production;yaling;Journal of Hefei University of Technology (Natural Science Edition),2015

4. Static scheduling of product design projects based on personnel-task-resource matching;yingzi;Industrial Engineering and Management,2012

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1. Research on Workstation Planning of Spacecraft Pulsating Assembly Lines Based on Improved Genetic Algorithm;Lecture Notes in Computer Science;2024

2. Dynamic Scheduling of Operators in an Unbalanced Assembly Line Based on Weighted Fuzzy Petri Nets Decision;2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM);2023-12-18

3. The Design Assignment Algorithm Considering Factors Influenced by Personnel Comprehensive Ability;2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS);2023-07-07

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