Optimizing the Scheduling of Repetitive Construction to Minimize Interruption Cost

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.