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Agyekum-Mensah, G, Reid, A and Temitope, T A (2020) Methodological Pluralism: Investigation into Construction Engineering and Management Research Methods. Journal of Construction Engineering and Management, 146(03).
Ayhan, B U and Tokdemir, O B (2020) Accident Analysis for Construction Safety Using Latent Class Clustering and Artificial Neural Networks. Journal of Construction Engineering and Management, 146(03).
Bowen, P and Zhang, R P (2020) Cross-Boundary Contact, Work-Family Conflict, Antecedents, and Consequences: Testing an Integrated Model for Construction Professionals. Journal of Construction Engineering and Management, 146(03).
Chan, A P C, Nwaogu, J M and Naslund, J A (2020) Mental Ill-Health Risk Factors in the Construction Industry: Systematic Review. Journal of Construction Engineering and Management, 146(03).
Collinge, W (2020) Stakeholder Engagement in Construction: Exploring Corporate Social Responsibility, Ethical Behaviors, and Practices. Journal of Construction Engineering and Management, 146(03).
Dutta, A, Breloff, S P, Dai, F, Sinsel, E W, Warren, C M and Wu, J Z (2020) Identifying Potentially Risky Phases Leading to Knee Musculoskeletal Disorders during Shingle Installation Operations. Journal of Construction Engineering and Management, 146(03).
Farahani, A, Wallbaum, H and Dalenbäck, J (2020) Cost-Optimal Maintenance and Renovation Planning in Multifamily Buildings with Annual Budget Constraints. Journal of Construction Engineering and Management, 146(03).
Gao, Y, González, V A and Yiu, T W (2020) Exploring the Relationship between Construction Workers’ Personality Traits and Safety Behavior. Journal of Construction Engineering and Management, 146(03).
Gunduz, M and Elsherbeny, H A (2020) Operational Framework for Managing Construction-Contract Administration Practitioners’ Perspective through Modified Delphi Method. Journal of Construction Engineering and Management, 146(03).
Gurmu, A T and Ongkowijoyo, C S (2020) Predicting Construction Labor Productivity Based on Implementation Levels of Human Resource Management Practices. Journal of Construction Engineering and Management, 146(03).
Haj Seiyed Taghia, S A, Darvishvand, H R and Ebrahimi, M (2020) Economic Analyses for Low-Strength Concrete Wrapped with CFRP to Improve the Mechanical Properties and Seismic Parameters. Journal of Construction Engineering and Management, 146(03).
Ho Song, M and Fischer, M (2020) Empirical Determination of the Smallest Batch Sizes for Daily Planning. Journal of Construction Engineering and Management, 146(03).
Ji, Y and Leite, F (2020) Optimized Planning Approach for Multiple Tower Cranes and Material Supply Points Using Mixed-Integer Programming. Journal of Construction Engineering and Management, 146(03).
Lee, C, Chong, H, Li, Q and Wang, X (2020) Joint Contract–Function Effects on BIM-Enabled EPC Project Performance. Journal of Construction Engineering and Management, 146(03).
Lee, Y Y R, Samad, H and Miang Goh, Y (2020) Perceived Importance of Authentic Learning Factors in Designing Construction Safety Simulation Game-Based Assignment: Random Forest Approach. Journal of Construction Engineering and Management, 146(03).
Lijauco, F, Gajendran, T, Brewer, G and Rasoolimanesh, S M (2020) Impacts of Culture on Innovation Propensity in Small to Medium Enterprises in Construction. Journal of Construction Engineering and Management, 146(03).
Lyu, H, Sun, W, Shen, S and Zhou, A (2020) Risk Assessment Using a New Consulting Process in Fuzzy AHP. Journal of Construction Engineering and Management, 146(03).
Mansouri, S, Castronovo, F and Akhavian, R (2020) Analysis of the Synergistic Effect of Data Analytics and Technology Trends in the AEC/FM Industry. Journal of Construction Engineering and Management, 146(03).
Shiha, A, Dorra, E M and Nassar, K (2020) Neural Networks Model for Prediction of Construction Material Prices in Egypt Using Macroeconomic Indicators. Journal of Construction Engineering and Management, 146(03).
Votto, R, Lee Ho, L and Berssaneti, F (2020) Applying and Assessing Performance of Earned Duration Management Control Charts for EPC Project Duration Monitoring. Journal of Construction Engineering and Management, 146(03).
- Type: Journal Article
- Keywords: Project performance monitoring; Duration performance index; Control chart; Statistical process control; Monte Carlo simulation;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001765
- Abstract:
In this study, earned duration management (EDM) is used as a statistical project control method to monitor the performance of engineering, procurement, and construction (EPC) projects. It represents an extension of the well-known earned value management (EVM) and earned schedule management (ESM) methodologies. In contrast to the latter techniques, which use cost-based data as proxies for assessing the project duration performance, EDM uses time-based metrics for its evaluation. In this method, control charts are employed to monitor deviations during project execution and to identify special sources of variation, interpreted as evidence of real risk of project delays. Monte Carlo simulations are conducted to determine the control limits. The major contribution of this study lies both in the use of control charts with control limits obtained by simulations to monitor the new duration performance index (DPI) in a real EPC project, and in the assessment of its performance compared with that of the traditional EVM and ESM indexes. The results of computational experiments demonstrated generally good performance characteristics of the proposed control charts and suggest that the DPI potentially can be used as a promising metric for monitoring the project duration performance.