Abstracts – Browse Results
Click on the titles below to expand the information about each abstract.
Viewing 19 results ...
Cattell, D W, Bowen, P A and Kaka, A P (2011) Proposed Framework for Applying Cumulative Prospect Theory to an Unbalanced Bidding Model. Journal of Construction Engineering and Management, 137(12), 1052–9.
Cheung, S O and Chow, P T (2011) Withdrawal in Construction Project Dispute Negotiation. Journal of Construction Engineering and Management, 137(12), 1071–9.
Edwards, D J and Holt, G D (2011) Mini-Excavator Safety: Toward Innovative Stability Testing, Procurement, and Manufacture. Journal of Construction Engineering and Management, 137(12), 1125–33.
Eybpoosh, M, Dikmen, I and Talat Birgonul, M (2011) Identification of Risk Paths in International Construction Projects Using Structural Equation Modeling. Journal of Construction Engineering and Management, 137(12), 1164–75.
Fonte, G C A (2011) Energy Management Reduces Great Pyramid Build Effort by More Than 98%. Journal of Construction Engineering and Management, 137(12), 1195–204.
Golparvar-Fard, M, Peña-Mora, F and Savarese, S (2011) . Journal of Construction Engineering and Management, 137(12), 1099–116.
Gouett, M C, Haas, C T, Goodrum, P M and Caldas, C H (2011) Activity Analysis for Direct-Work Rate Improvement in Construction. Journal of Construction Engineering and Management, 137(12), 1117–24.
- Type: Journal Article
- Keywords: Sampling; Productivity; Construction management; Labor; Profits; Activity analysis; Work sampling; Productivity; Direct-work rate; Tool time; Wrench time; Continuous improvement;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000375
- Abstract:
In the construction industry, on-site labor is one of the most variable and costly factors that affect project profits. Because of the variable nature of construction labor and its correlation with profits, construction managers require a comprehensive understanding of the activities of workers on-site. For project success, it is obviously important that workers are spending the majority of their time installing materials that advance the project. This material installation time is known in the construction industry as “direct-work” or “tool time.” Continuously improving the direct-work rate through the life of the project is critical to project success, and yet no workface assessment method exists in the literature to provide (1) a detailed description of worker activities; or (2) a continuous productivity improvement process to help management identify productivity inhibitors affecting site labor, develop a plan to reduce or eliminate these issues, and measure improvements as a result of these changes. In response to this need, this research focused on the development of a workface assessment method called activity analysis. Activity analysis is a continuous productivity performance improvement process, which efficiently measures the time expenditure of workers on-site and identifies productivity inhibitors that management must reduce or eliminate to provide workers with more time for direct-work activities. Six case studies were conducted to verify the feasibility of the activity analysis process. Further, cyclical data from two major construction firms, including 26 project data points, were collected and analyzed to statistically validate the hypothesis, which in the past was supported by limited numbers of case studies, that activity analysis can improve direct-work rates. The research concluded that activity analysis, as a continuous performance improvement process, is feasible and when continually applied to a construction site, can significantly improve direct-work rates through the life of a project.
Hartmann, T (2011) Goal and Process Alignment during the Implementation of Decision Support Systems by Project Teams. Journal of Construction Engineering and Management, 137(12), 1134–41.
Heon Jun, D and El-Rayes, K (2011) Multiobjective Optimization of Resource Leveling and Allocation during Construction Scheduling. Journal of Construction Engineering and Management, 137(12), 1080–8.
Kale, S and Karaman, E A (2011) Evaluating the Knowledge Management Practices of Construction Firms by Using Importance–Comparative Performance Analysis Maps. Journal of Construction Engineering and Management, 137(12), 1142–52.
Kirgiz, M S (2011) Chemical Properties of Blended Cement Pastes. Journal of Construction Engineering and Management, 137(12), 1036–42.
Li, J and Zou, P X W (2011) Fuzzy AHP-Based Risk Assessment Methodology for PPP Projects. Journal of Construction Engineering and Management, 137(12), 1205–9.
Li, N and Becerik-Gerber, B (2011) Life-Cycle Approach for Implementing RFID Technology in Construction: Learning from Academic and Industry Use Cases. Journal of Construction Engineering and Management, 137(12), 1089–98.
Li, Y Y, Chen, P, Chew, D A S, Teo, C C and Ding, R G (2011) Critical Project Management Factors of AEC Firms for Delivering Green Building Projects in Singapore. Journal of Construction Engineering and Management, 137(12), 1153–63.
Love, P E D, Edwards, D J, Irani, Z and Goh, Y M (2011) Dynamics of Rework in Complex Offshore Hydrocarbon Projects. Journal of Construction Engineering and Management, 137(12), 1060–70.
Nahmens, I and Bindroo, V (2011) Is Customization Fruitful in Industrialized Homebuilding Industry?. Journal of Construction Engineering and Management, 137(12), 1027–35.
Swarup, L, Korkmaz, S and Riley, D (2011) Project Delivery Metrics for Sustainable, High-Performance Buildings. Journal of Construction Engineering and Management, 137(12), 1043–51.
Xia, B, Chan, A P C and Yeung, J F Y (2011) Developing a Fuzzy Multicriteria Decision-Making Model for Selecting Design-Build Operational Variations. Journal of Construction Engineering and Management, 137(12), 1176–84.
Zhou, H and Zhang, H (2011) Risk Assessment Methodology for a Deep Foundation Pit Construction Project in Shanghai, China. Journal of Construction Engineering and Management, 137(12), 1185–94.