Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Identifying and categorizing the sources of uncertainty in construction supply chains

Gosling, Jonathan, Naim, Mohamed Mohamed and Towill, Denis Royston 2013. Identifying and categorizing the sources of uncertainty in construction supply chains. Journal of Construction Engineering and Management 139 (1) , pp. 102-110. 10.1061/(ASCE)CO.1943-7862.0000574

Full text not available from this repository.

Abstract

Uncertainty affecting operations has long been recognized by researchers as a major obstacle to the delivery of customer value in supply chains. Whilst 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, where each product is designed for the needs of a specific customer. The key research question addressed in this paper is ‘How can the substantive sources of project uncertainty in construction supply chains 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

Item Type: Article
Date Type: Publication
Status: Published
Schools: Business (Including Economics)
Centre for Advanced Manufacturing Systems At Cardiff (CAMSAC)
Subjects: H Social Sciences > HD Industries. Land use. Labor
Additional Information: Pdf uploaded in accordance with publisher's policy at http://www.sherpa.ac.uk/romeo/issn/0733-9364/ (accessed 25/02/2014)
Publisher: American Society of Civil Engineers
ISSN: 0733-9364
Last Modified: 04 Jun 2017 04:06
URI: http://orca-mwe.cf.ac.uk/id/eprint/32719

Citation Data

Cited 27 times in Google Scholar. View in Google Scholar

Cited 20 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item