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Altuwaim, A and El-Rayes, K (2018) Optimizing the Scheduling of Repetitive Construction to Minimize Interruption Cost. Journal of Construction Engineering and Management, 144(07).
Hasanzadeh, S, Esmaeili, B and Dodd, M D (2018) Examining the Relationship between Construction Workers’ Visual Attention and Situation Awareness under Fall and Tripping Hazard Conditions: Using Mobile Eye Tracking. Journal of Construction Engineering and Management, 144(07).
Hosseini, M R, Martek, I, Chileshe, N, Zavadskas, E K and Arashpour, M (2018) Assessing the Influence of Virtuality on the Effectiveness of Engineering Project Networks: “Big Five Theory” Perspective. Journal of Construction Engineering and Management, 144(07).
Hwang, S, Jebelli, H, Choi, B, Choi, M and Lee, S (2018) Measuring Workers’ Emotional State during Construction Tasks Using Wearable EEG. Journal of Construction Engineering and Management, 144(07).
Jordan Srour, F, Kiomjian, D and Srour, I M (2018) Automating the Use of Learning Curve Models in Construction Task Duration Estimates. Journal of Construction Engineering and Management, 144(07).
- Type: Journal Article
- Keywords: Learning curves; Construction scheduling; Construction management; Automated scheduling;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001515
- Abstract:
Standard scheduling tools for construction projects with repetitive tasks assume that labor productivity remains constant throughout the project lifetime. None of these tools accommodate the dynamics of learning throughout the project. This paper introduces a tool that uses nonlinear optimization to integrate learning curve concepts into task duration estimates for construction project scheduling. The tool, featuring a graphical user interface, mines past data to select the most appropriate learning model from a suite of existing models. Testing the tool on data obtained from five published case studies with varying sizes and locations suggests that the tool offers accurate estimates for task completion times, even when the size or quality of the input data is minimal. Directives for use of this tool and an estimate of potential savings in practice are also provided through an example based on real-world data. These savings amounted to 28% of the overall labor costs within the real-world project. The contribution of this paper is a tool to estimate construction task durations in such a way that learning is incorporated. The tool uses nonlinear optimization to select and calibrate the best learning model making the tool of value to practitioners working across a variety of linear and nonlinear repetitive projects in a range of geographical regions.
Karakhan, A A, Rajendran, S, Gambatese, J and Nnaji, C (2018) Measuring and Evaluating Safety Maturity of Construction Contractors: Multicriteria Decision-Making Approach. Journal of Construction Engineering and Management, 144(07).
Karimi, H, Taylor, T R B, Dadi, G B, Goodrum, P M and Srinivasan, C (2018) Impact of Skilled Labor Availability on Construction Project Cost Performance. Journal of Construction Engineering and Management, 144(07).
Konstantinou, E and Brilakis, I (2018) Matching Construction Workers across Views for Automated 3D Vision Tracking On-Site. Journal of Construction Engineering and Management, 144(07).
Lee, C Y, Chong, H and Wang, X (2018) Enhancing BIM Performance in EPC Projects through Integrative Trust-Based Functional Contracting Model. Journal of Construction Engineering and Management, 144(07).
Liu, J and Lu, M (2018) Constraint Programming Approach to Optimizing Project Schedules under Material Logistics and Crew Availability Constraints. Journal of Construction Engineering and Management, 144(07).
Masih-Tehrani, M and Ebrahimi-Nejad, S (2018) Hybrid Genetic Algorithm and Linear Programming for Bulldozer Emissions and Fuel-Consumption Management Using Continuously Variable Transmission. Journal of Construction Engineering and Management, 144(07).
Mirzaei, A, Nasirzadeh, F, Parchami Jalal, M and Zamani, Y (2018) 4D-BIM Dynamic Time–Space Conflict Detection and Quantification System for Building Construction Projects. Journal of Construction Engineering and Management, 144(07).
Sankaran, B and O’Brien, W J (2018) Impact of CIM Technologies and Agency Policies on Performance for Highway Infrastructure Projects. Journal of Construction Engineering and Management, 144(07).
Swei, O (2018) Long-Run Construction Cost Trends: Baumol’s Cost Disease and a Disaggregate Look at Building Material Price Dynamics. Journal of Construction Engineering and Management, 144(07).
Trinh, M T, Feng, Y and Jin, X (2018) Conceptual Model for Developing Resilient Safety Culture in the Construction Environment. Journal of Construction Engineering and Management, 144(07).