Abstracts – Browse Results
Click on the titles below to expand the information about each abstract.
Viewing 9 results ...
Chan, S L (2001) Empirical tests to discern linkages between construction and other economic sectors in Singapore. Construction Management and Economics, 19(04), 355-63.
Cheung, S-O, Lam, T, Lueng, M and Wan, Y (2001) An analytical hierarchy process based procurement selection method. Construction Management and Economics, 19(04), 427-37.
Costantino, N, Pietroforte, R and Harnill, P (2001) Subcontracting in commercial and residential construction: an emperical investigation. Construction Management and Economics, 19(04), 439-47.
Fisher, T and Ranasinghe, M (2001) Culture and foreign companies' choice of entry mode: the case of the Singapore building and construction industry. Construction Management and Economics, 19(04), 343-53.
Isidore, L J, Back, W E and Fry, G T (2001) Integrated probabilistic schedules and estimates from project simulated data. Construction Management and Economics, 19(04), 417-26.
- Type: Journal Article
- Keywords: Integrated cost and schedule; Monte Carlo simulation; range estimating; probabilistic estimating; probabilistic scheduling
- ISBN/ISSN: 0144-6193
- URL: https://doi.org/10.1080/01446190010022677
- Abstract:
Risk management, as it relates to construction, is vital to the successful undertaking and completion of any construction project. One way to manage project risk effectively is to develop more reliable means of accounting for the time and cost variability existing in construction operations. Recent attempts to more reliably quantify the risk inherent in construction projects has focused on range estimating and stochastic scheduling (also referred to as probabilistic estimating and probabilistic scheduling). It is common knowledge in the construction industry that the cost associated with a project is affected greatly by the schedule selected to complete that project. Additionally, the percentile level associated with both of these tools is of significance when they are considered stochastically. This paper looks at the integration of range estimating and probabilistic scheduling, using a new procedure called the empirical cumulative density function technique (ECDF) as a means of further controlling the risk associated with the undertaking of construction projects. In addition to providing a reliable means of relating the results of range estimating and probabilistic scheduling, this technique is graphically based, and has the advantage of not requiring any assumptions regarding the underlying data distributions.
Manavazhi, M R and Xunzhi, Z (2001) Productivity oriented analysis of design revisions. Construction Management and Economics, 19(04), 379-91.
Marasini, R, Dawood, N and Hobbs, B (2001) Stockyard layout planning in precast concrete products industry: a case study and proposed framework. Construction Management and Economics, 19(04), 365-77.
Mochtar, K and Arditi, D (2001) Pricing strategy in the US construction industry. Construction Management and Economics, 19(04), 405-15.
Tam, C M, Fung, I W H and Chan, A P C (2001) Study of attitude changes in people after the implementation of a new safety management system: the supervision plan. Construction Management and Economics, 19(04), 393-403.