Abstract
Worker assignment is a classic topic in infrastructure construction. In this study, we developed an integer optimization model to help decision-makers make optimal worker assignment plans while maximizing the daily productivity of all workers. Our proposed model considers the professional skills and physical fitness of workers. Using a real-world dataset, we adopted a machine learning method to estimate the maximum working tolerance time for different workers to carry out different jobs. The real-world dataset also demonstrates the effectiveness of our optimization model.
Original language | English |
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Pages (from-to) | 4178-4190 |
Number of pages | 13 |
Journal | Electronic Research Archive |
Volume | 30 |
Issue number | 11 |
DOIs | |
Publication status | Published - Sept 2022 |
Keywords
- Infrastructure management
- Integer programming
- Machine learning
- Worker assignment
ASJC Scopus subject areas
- General Mathematics