Technical Papers
Apr 19, 2018

Optimizing the Scheduling of Repetitive Construction to Minimize Interruption Cost

Publication: Journal of Construction Engineering and Management
Volume 144, Issue 7

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.

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Data Availability Statement

Data generated or analyzed during the study are available from the corresponding author by request. Information about the Journal’s data sharing policy can be found here: http://ascelibrary.org/doi/10.1061/%28ASCE%29CO.1943-7862.0001263.

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Information & Authors

Information

Published In

Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 144Issue 7July 2018

History

Received: Aug 21, 2017
Accepted: Jan 3, 2018
Published online: Apr 19, 2018
Published in print: Jul 1, 2018
Discussion open until: Sep 19, 2018

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Authors

Affiliations

Ayman Altuwaim [email protected]
Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Univ. of Illinois at Urbana-Champaign, Urbana, IL 61801; Affiliated with the Dept. of Civil Engineering, King Saud Univ., Riyadh, Saudi Arabia (corresponding author). Email: [email protected]
Khaled El-Rayes, Ph.D., M.ASCE [email protected]
Professor, Dept. of Civil and Environmental Engineering, Univ. of Illinois at Urbana-Champaign, Urbana, IL 61801. Email: [email protected]

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