Mixed-Integer Linear Programming on Work-Rest Schedule Design for Construction Sites in Hot Weather

Wen Yi, Shuaian Wang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

9 Citations (Scopus)

Abstract

Construction workers usually undertake physically demanding tasks in an outdoor environment, with awkward postures and repetitive motions. This study proposes a mixed-integer linear programming approach to optimize the work-rest schedule for construction workers in hot weather for the objective of maximizing the total productive time. The model takes into consideration the physical and physiological conditions of the workers, the working environment, the nature of the jobs and the minimum rest duration of the government regulation. The results of numerical experiments show that the proposed model outperforms a default work-rest schedule by up to 10% in terms of total productive time. This implies considerable cost savings for the construction industry.
Original languageEnglish
Pages (from-to)429-439
Number of pages11
JournalComputer-Aided Civil and Infrastructure Engineering
Volume32
Issue number5
DOIs
Publication statusPublished - 1 May 2017

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design
  • Computational Theory and Mathematics

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