Optimal assignment of infrastructure construction workers

Haoqing Wang, Wen Yi, Yannick Liu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

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 languageEnglish
Pages (from-to)4178-4190
Number of pages13
JournalElectronic Research Archive
Volume30
Issue number11
DOIs
Publication statusPublished - Sep 2022

Keywords

  • Infrastructure management
  • Integer programming
  • Machine learning
  • Worker assignment

ASJC Scopus subject areas

  • Mathematics(all)

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