Abstracts – Browse Results
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Canales, A R, Arbelaez, M, Vasquez, E, Aveiga, F, Strong, K, Walters, R, Jaselskis, E J and Jahren, C T (2009) Exploring Training Needs and Development of Construction Language Courses for American Supervisors and Hispanic Craft Workers. Journal of Construction Engineering and Management, 135(05), 387–96.
Dai, J, Goodrum, P M, Maloney, W F and Srinivasan, C (2009) Latent Structures of the Factors Affecting Construction Labor Productivity. Journal of Construction Engineering and Management, 135(05), 397–406.
Hegab, M and Smith, G R (2009) Labor Performance Analysis for Microtunneling Projects. Journal of Construction Engineering and Management, 135(05), 432–5.
Hinze, J and Olbina, S (2009) Empirical Analysis of the Learning Curve Principle in Prestressed Concrete Piles. Journal of Construction Engineering and Management, 135(05), 425–31.
Hwang, S (2009) Dynamic Regression Models for Prediction of Construction Costs. Journal of Construction Engineering and Management, 135(05), 360–7.
Jang, W and Skibniewski, M J (2009) Cost-Benefit Analysis of Embedded Sensor System for Construction Materials Tracking. Journal of Construction Engineering and Management, 135(05), 378–86.
Lewis, P, Rasdorf, W, Frey, H C, Pang, S and Kim, K (2009) Requirements and Incentives for Reducing Construction Vehicle Emissions and Comparison of Nonroad Diesel Engine Emissions Data Sources. Journal of Construction Engineering and Management, 135(05), 341–51.
Lucko, G and Peña Orozco, A A (2009) Float Types in Linear Schedule Analysis with Singularity Functions. Journal of Construction Engineering and Management, 135(05), 368–77.
Mao, X, Zhang, X and AbouRizk, S M (2009) Enhancing Value Engineering Process by Incorporating Inventive Problem-Solving Techniques. Journal of Construction Engineering and Management, 135(05), 416–24.
Mitropoulos, P and Cupido, G (2009) Safety as an Emergent Property: Investigation into the Work Practices of High-Reliability Framing Crews. Journal of Construction Engineering and Management, 135(05), 407–15.
- Type: Journal Article
- Keywords: Construction management; Safety; Accident prevention; Framing;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000002
- Abstract:
With regards to safety, the challenge for researchers and practitioners is to develop work systems that can achieve at the same time high levels of productivity and safety. Towards this objective, this research investigates the work practices of high-reliability crews—that is, crews who perform high-risk work with exceptionally high productivity and safety. The objective of the research is to increase understanding of the work practices that reduce the likelihood of accidents while at the same time increase productivity. This paper presents the findings of an initial exploratory study that compares the work practices of two residential framing crews: one crew with consistently exceptional levels of safety and productivity, and one average-performing crew from the same company. The two crews did not show any difference in safety practices—both crews had high compliance with the company’s safety requirements. However, the production practices of the high-reliability crew were shaped by a clear “guiding principle,” which is a strong focus on avoiding errors and rework, and by specific strategies that support this principle. Such strategies include actions to prevent disruptions, controlling the production pressures, matching skills with task demands, and carefully preparing and coordinating the high demand tasks. These practices prevent production errors while also reducing the likelihood of accidents. The findings provide directions for further research.
Moynihan, G, Zhou, H and Cui, Q (2009) Stochastic Modeling for Pavement Warranty Cost Estimation. Journal of Construction Engineering and Management, 135(05), 352–9.