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Abediniangerabi, B, Shahandashti, S M, Ahmadi, N and Ashuri, B (2017) Empirical Investigation of Temporal Association between Architecture Billings Index and Construction Spending Using Time-Series Methods. Journal of Construction Engineering and Management, 143(10).

Barbachyn, S M, Devine, R D, Thrall, A P and Kurama, Y C (2017) Economic Evaluation of High-Strength Materials in Stocky Reinforced Concrete Shear Walls. Journal of Construction Engineering and Management, 143(10).

D’Onofrio, R M (2017) CPM Scheduling: A 60-Year History. Journal of Construction Engineering and Management, 143(10).

Gurmu, A T and Aibinu, A A (2017) Construction Equipment Management Practices for Improving Labor Productivity in Multistory Building Construction Projects. Journal of Construction Engineering and Management, 143(10).

Hanna, A S and Iskandar, K A (2017) Quantifying and Modeling the Cumulative Impact of Change Orders. Journal of Construction Engineering and Management, 143(10).

Hasanzadeh, S, Esmaeili, B and Dodd, M D (2017) Impact of Construction Workers’ Hazard Identification Skills on Their Visual Attention. Journal of Construction Engineering and Management, 143(10).

Hyari, K H, Shatarat, N and Khalafallah, A (2017) Handling Risks of Quantity Variations in Unit-Price Contracts. Journal of Construction Engineering and Management, 143(10).

Kamardeen, I and Sunindijo, R Y (2017) Personal Characteristics Moderate Work Stress in Construction Professionals. Journal of Construction Engineering and Management, 143(10).

Mani, N, Kisi, K P, Rojas, E M and Foster, E T (2017) Estimating Construction Labor Productivity Frontier: Pilot Study. Journal of Construction Engineering and Management, 143(10).

  • Type: Journal Article
  • Keywords: Construction management; Labor; Productivity; Probability distribution; Visual techniques; Quantitative methods;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001390
  • Abstract:
    Existing practice compares actual productivity with historical data to gauge construction operation efficiency. However, this practice is accurate only if historical data reflect optimal values—generally, such comparisons manifest only relative rather than absolute efficiency. Therefore, in order to determine absolute efficiency, one must compare actual versus optimal productivity. Optimal productivity is the highest sustainable productivity level achievable under “good management” and “typical field conditions.” Perfect conditions, though unattainable in the field, conceptually yield the theoretical maximum level of productivity, known as the “productivity frontier.” The productivity frontier is a construct that enables the estimation of the optimal productivity of construction operations. This research contributes to the body of knowledge by introducing a novel framework for estimating the labor productivity frontier and applying this framework to a pilot study that tests the feasibility of this framework against a single-worker, labor-intensive, sequential construction task. This paper first reviews relevant literature, then presents the theoretical underpinnings of the framework for estimating the productivity frontier in the construction domain, examines the data from the pilot study, and evaluates the feasibility of the proposed framework. By following two approaches—observed durations and statistically estimated durations—this study demonstrates the functionality of this framework by computing that the productivity frontier of the pilot study is 22.32 stations per hour.

Park, J, Cai, H, Dunston, P S and Ghasemkhani, H (2017) Database-Supported and Web-Based Visualization for Daily 4D BIM. Journal of Construction Engineering and Management, 143(10).

Sunindijo, R Y and Kamardeen, I (2017) Work Stress Is a Threat to Gender Diversity in the Construction Industry. Journal of Construction Engineering and Management, 143(10).

Tuchman, J L (2017) Why Journalism Matters. Journal of Construction Engineering and Management, 143(10).

Umer, W, Li, H, Szeto, G P Y and Wong, A Y L (2017) Low-Cost Ergonomic Intervention for Mitigating Physical and Subjective Discomfort during Manual Rebar Tying. Journal of Construction Engineering and Management, 143(10).

Zhang, Y, Minchin, R E and Agdas, D (2017) Forecasting Completed Cost of Highway Construction Projects Using LASSO Regularized Regression. Journal of Construction Engineering and Management, 143(10).