Abstracts – Browse Results
Click on the titles below to expand the information about each abstract.
Viewing 13 results ...
Ammar, M A (2013) LOB and CPM Integrated Method for Scheduling Repetitive Projects. Journal of Construction Engineering and Management, 139(01), 44–50.
Bynum, P, Issa, R R A and Olbina, S (2013) Building Information Modeling in Support of Sustainable Design and Construction. Journal of Construction Engineering and Management, 139(01), 24–34.
Cheung, S O and Pang, K H Y (2013) Anatomy of Construction Disputes. Journal of Construction Engineering and Management, 139(01), 15–23.
Cho, K and Hastak, M (2013) Time and Cost–Optimized Decision Support Model for Fast-Track Projects. Journal of Construction Engineering and Management, 139(01), 90–101.
Dai, F, Rashidi, A, Brilakis, I and Vela, P (2013) Comparison of Image-Based and Time-of-Flight-Based Technologies for Three-Dimensional Reconstruction of Infrastructure. Journal of Construction Engineering and Management, 139(01), 69–79.
Gosling, J, Naim, M and Towill, D (2013) Identifying and Categorizing the Sources of Uncertainty in Construction Supply Chains. Journal of Construction Engineering and Management, 139(01), 102–10.
- Type: Journal Article
- Keywords: Supply chain management; Risk management; Uncertainty principles; Construction management; Supply chain management; Engineer-to-order; Risk; Uncertainty;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000574
- Abstract:
Uncertainty affecting operations has long been recognized by researchers as a major obstacle to the delivery of customer value in supply chains. While it has been acknowledged that different types of supply chain have different uncertainty profiles, there is little academic literature addressing the particular uncertainties relating to engineer-to-order (ETO) supply chains in which each product is designed for the needs of a specific customer. The key research question addressed in this paper is how the substantive sources of project uncertainty in construction supply chains can be identified and categorized. A three-phase framework for the identification and categorization of uncertainty is proposed. The empirical investigation reported in this paper demonstrates how the framework may be applied to a group of ETO projects. Using multiple data collection methods, including site visits, interviews, and industry workshops, the uncertainties in five projects are identified and categorized using the framework to demonstrate its application. The framework thereby established is generalized to cover a range of construction projects.
Li, H, Arditi, D and Wang, Z (2013) Factors That Affect Transaction Costs in Construction Projects. Journal of Construction Engineering and Management, 139(01), 60–68.
Meduri, S S and Annamalai, T R (2013) Unit Costs of Public and PPP Road Projects: Evidence from India. Journal of Construction Engineering and Management, 139(01), 35–43.
Minchin, R E, Cui, S, Walters, R C, Issa, R and Pan, J (2013) Sino-American Opinions and Perceptions of Counterfeiting in the Construction Supply Chain. Journal of Construction Engineering and Management, 139(01), 1–8.
Rubio-Romero, J C, Rubio, M C and García-Hernández, C (2013) Analysis of Construction Equipment Safety in Temporary Work at Height. Journal of Construction Engineering and Management, 139(01), 9–14.
Tsolas, I E (2013) Modeling Profitability and Stock Market Performance of Listed Construction Firms on the Athens Exchange: Two-Stage DEA Approach. Journal of Construction Engineering and Management, 139(01), 111–9.
Valdes-Vasquez, R and Klotz, L E (2013) Social Sustainability Considerations during Planning and Design: Framework of Processes for Construction Projects. Journal of Construction Engineering and Management, 139(01), 80–89.
Zeynalian, M, Trigunarsyah, B and Ronagh, H R (2013) Modification of Advanced Programmatic Risk Analysis and Management Model for the Whole Project Life Cycle’s Risks. Journal of Construction Engineering and Management, 139(01), 51–59.