Multiobjective Optimization Model for Planning Repetitive Construction Projects

Ayman Altuwaim, Khaled El-Rayes

Research output: Contribution to journalArticlepeer-review

Abstract

Minimizing the duration of repetitive construction projects such as high-rise buildings and highway construction often requires interrupting the work continuity of construction crews and/or utilizing overtime hours. Available scheduling models for repetitive construction projects can generate optimal trade-offs between minimizing project duration and crew work interruptions; however, they are incapable of minimizing the use of overtime hours. This paper developed a novel multiobjective optimization model for repetitive construction projects that is capable of generating optimal trade-offs among project duration, work interruptions, and overtime use. The model was developed in three main phases (1) a formulation phase that identified all relevant decision variables and formulated the three objective functions of the model; (2) an implementation phase that executed the model computations using multiobjective genetic algorithms; and (3) a performance evaluation phase. The results of this performance evaluation confirmed that the model outperforms existing models in minimizing the use of overtime hours, and generating optimal trade-offs among project duration, crew work interruptions, and overtime use.

Original languageEnglish (US)
Article number04021072
JournalJournal of Construction Engineering and Management
Volume147
Issue number7
DOIs
StatePublished - Jul 1 2021

Keywords

  • Construction management
  • Linear scheduling
  • Multiobjective genetic algorithms
  • Optimization
  • Overtime
  • Repetitive construction

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • Industrial relations
  • Strategy and Management

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