Abstract
This paper presents the development of a novel optimization model for the scheduling of repetitive construction projects. The model provides original and unique capabilities that enable planners to search for and identify an optimal/near optimal schedule that simultaneously minimizes project duration, crew work interruptions, and interruption costs. The model computations are organized in four major modules: (1) an optimization module that searches for and identifies a near optimal schedule that simultaneously minimizes the project duration, work interruptions, and interruption costs; (2) an initial scheduling module that calculates the early start date and work-continuity total float for each activity in all of its repetitive sections; (3) an intermediate scheduling module that generates a set of feasible schedules that simultaneously minimize project duration and work interruptions; and (4) an interruption cost module that calculates total interruption cost for each of the generated schedules. An application example of a repetitive construction project is analyzed to evaluate model performance and demonstrate its capabilities in optimizing the scheduling of repetitive construction projects.
Original language | English (US) |
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Article number | 4018051 |
Journal | Journal of Construction Engineering and Management |
Volume | 144 |
Issue number | 7 |
DOIs | |
State | Published - Jul 1 2018 |
Keywords
- Construction management
- Genetic algorithms
- Linear scheduling
- Optimization
- Repetitive construction
- Resource-driven scheduling
ASJC Scopus subject areas
- Civil and Structural Engineering
- Building and Construction
- Industrial relations
- Strategy and Management