Abstracts – Browse Results
Click on the titles below to expand the information about each abstract.
Viewing 17 results ...
AlChaer, E and Issa, C A (2020) Engineering Productivity Measurement: A Novel Approach. Journal of Construction Engineering and Management, 146(08).
Cai, S, Ma, Z, Skibniewski, M J, Bao, S and Wang, H (2020) Construction Automation and Robotics for High-Rise Buildings: Development Priorities and Key Challenges. Journal of Construction Engineering and Management, 146(08).
Chen, Y, Chen, S, Hu, C, Jin, L and Zheng, X (2020) Novel Probabilistic Cost Estimation Model Integrating Risk Allocation and Claim in Hydropower Project. Journal of Construction Engineering and Management, 146(08).
Han, Y, Yin, Z, Zhang, J, Jin, R and Yang, T (2020) Eye-Tracking Experimental Study Investigating the Influence Factors of Construction Safety Hazard Recognition. Journal of Construction Engineering and Management, 146(08).
Ibrahim, M W, Hanna, A S, Russell, J S, Abotaleb, I S and El-adaway, I H (2020) Quantitative Analysis of the Impacts of Out-of-Sequence Work on Project Performance. Journal of Construction Engineering and Management, 146(08).
- Type: Journal Article
- Keywords:
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001876
- Abstract:
Although out-of-sequence work (OOS) is often cited as a recurring challenge that impacts project performance, it has not been fully addressed in the existing literature as a standalone topic. This paper addresses this gap, defining OOS work as an activity or series of activities that was not performed according to baseline planned logical productive sequencing. By developing a project-based survey and contacting 300 professionals, extensive data were gathered from 42 projects. Using these data, the impacts of OOS were examined. It was found that, on average, approximately 15% of project activities are performed as OOS, resulting in 33% growth in construction schedule and 25% additional construction cost. Applying statistical analysis verified that, at 95% confidence level, OOS has a statistically significant inverse correlation with the productivity index, and a significant direct correlation with cost growth, schedule growth, and value of punchlist items. On average, a 5% increase in OOS was shown to be associated with an 8.5% drop in productivity, 10% increase in construction cost, and 11% increase in construction schedule. Regarding safety, no conclusive statistically significant relationships were found between OOS and the examined safety metrics, possibly because safety measures were followed regardless of sequencing. Investigating 19 project factors, the study highlighted statistically significant relationships between OOS and 15 leading indicators, at 95% confidence level. For example, implementing unplanned overtime, trade stacking, rework, as well as request for information (RFI) enumeration and processing time have significant direct correlation with OOS, while overall collaboration among project team members is inversely correlated with OOS. Project complexity, construction pace (traditional versus phased), percent design completion prior to construction, and the use of second shifts were not found to be statistically correlated with OOS. On investigating the level to which projects used five commonly recommended practices (alignment, front-end planning, constructability, planning for startup, and 3D modeling), the study found that the five practices are inversely correlated with OOS, especially when collaboratively implemented early and often throughout the project. Industry practitioners should use the presented findings to address and mitigate OOS and its negative impacts, ultimately enhancing overall project performance.
Jiang, Y and Bai, Y (2020) Estimation of Construction Site Elevations Using Drone-Based Orthoimagery and Deep Learning. Journal of Construction Engineering and Management, 146(08).
Kim, J J, Miller, J A and Kim, S (2020) Cost Impacts of Change Orders due to Unforeseen Existing Conditions in Building Renovation Projects. Journal of Construction Engineering and Management, 146(08).
Li, H, Lv, L, Zuo, J, Su, L, Wang, L and Yuan, C (2020) Dynamic Reputation Incentive Mechanism for Urban Water Environment Treatment PPP Projects. Journal of Construction Engineering and Management, 146(08).
Li, J, Wang, H, Xie, Y and Zeng, W (2020) Human Error Identification and Analysis for Shield Machine Operation Using an Adapted TRACEr Method. Journal of Construction Engineering and Management, 146(08).
Ryu, J, Alwasel, A, Haas, C T and Abdel-Rahman, E (2020) Analysis of Relationships between Body Load and Training, Work Methods, and Work Rate: Overcoming the Novice Mason’s Risk Hump. Journal of Construction Engineering and Management, 146(08).
Sonmez, R, Aminbakhsh, S and Atan, T (2020) Activity Uncrashing Heuristic with Noncritical Activity Rescheduling Method for the Discrete Time-Cost Trade-Off Problem. Journal of Construction Engineering and Management, 146(08).
Tan, T, Lu, W, Tan, G, Xue, F, Chen, K, Xu, J, Wang, J and Gao, S (2020) Construction-Oriented Design for Manufacture and Assembly Guidelines. Journal of Construction Engineering and Management, 146(08).
Yin, X, Chen, Y, Bouferguene, A, Zaman, H, Al-Hussein, M and Russell, R (2020) Data-Driven Framework for Modeling Productivity of Closed-Circuit Television Recording Process for Sewer Pipes. Journal of Construction Engineering and Management, 146(08).
Zhan, W and Pan, W (2020) Formulating Systemic Construction Productivity Enhancement Strategies. Journal of Construction Engineering and Management, 146(08).
Zhang, R P, Lingard, H and Oswald, D (2020) Impact of Supervisory Safety Communication on Safety Climate and Behavior in Construction Workgroups. Journal of Construction Engineering and Management, 146(08).
Zheng, J, Wen, Q and Qiang, M (2020) Understanding Demand for Project Manager Competences in the Construction Industry: Data Mining Approach. Journal of Construction Engineering and Management, 146(08).
Zhu, L, Cheung, S O, Gao, X, Li, Q and Liu, G (2020) Success DNA of a Record-Breaking Megaproject. Journal of Construction Engineering and Management, 146(08).