Abstracts – Browse Results
Click on the titles below to expand the information about each abstract.
Viewing 13 results ...
Al-Khalil, M I and Al-Ghafly, M A (1999) Important causes of delay in public utility projects in Saudi Arabia. Construction Management and Economics, 17(05), 647-55.
Bon, R, Birgonul, T and Ozdogan, I (1999) An input-output analysis of the Turkish construction sector, 1973-1990: a note. Construction Management and Economics, 17(05), 543-51.
Chen, J J and Chambers, D (1999) Sustainability and the impact of Chinese policy initiatives upon construction. Construction Management and Economics, 17(05), 679-87.
Gunner, J and Skitmore, M R (1999) Comparative analysis of pre-bid forecasting of building prices based on Singapore data. Construction Management and Economics, 17(05), 635-46.
Lam, K C and Runeson, G (1999) Modelling financial decisions in construction firms. Construction Management and Economics, 17(05), 589-602.
- Type: Journal Article
- Keywords: cash flow; fuzzy; multiple-objectives; optimization; qualitative
- ISBN/ISSN: 0144-6193
- URL: https://doi.org/10.1080/014461999371204
- Abstract:
Some contractors predict their corporate cash flow on the basis of individual contracts without considering the relationships between the overall before-tax profit, risks, other crucial qualitative factors, or the allocation of resources within the company. Moreover, some contractors, in predicting their cash flow, focus only on the early-start progress in the project and their predictions of progress are too pessimistic, or result in the overuse of resource in order to make up for delays. In the present research a decision model is established for a contracting firm. It provides a methodical system for construction financial decision-making, and a way of solving a financial decision problem under qualitative and fuzzy circumstances. The model can be applied to the management of corporate cash flow, thereby facilitating the minimal use of resources. The information provided by the model allows the planner to eliminate excess use or idleness of resources during the scheduling of a project. Financial forecasting may also suggest the best time to invest in a new project. Four projects for a medium size construction firm in Hong Kong were employed as case studies in order to evaluate the mathematical model. The cases involve two objectives: maximize profit margin and minimize construction risk (consider in a qualitative factor). The model leads to a compromize optimal schedule that provides the contracting firm with the optimal schedule for achieving optimal profit and construction risk by making optimal use of the contractor’ s resources.
Lo, W, Krizek, R J and Hadavi, A (1999) Effects of high pre-qualification requirements. Construction Management and Economics, 17(05), 603-12.
Loosemore, M (1999) International construction management research: cultural sensitivity in methodological design. Construction Management and Economics, 17(05), 553-61.
Low, S P and Hui, M S (1999) The application of JIT philosophy to construction: a case study in site layout. Construction Management and Economics, 17(05), 657-68.
Miller, J B and Evje, R H (1999) The practical application of delivery methods to project portfolios. Construction Management and Economics, 17(05), 669-77.
Proverbs, D G, Holt, G D and Olomolaiye, P O (1999) Construction resource/method factors influencing productivity for high rise concrete construction. Construction Management and Economics, 17(05), 577-87.
Ranasinghe, M (1999) Private sector participation in infrastructure projects: a methodology to analyse viability of BOT. Construction Management and Economics, 17(05), 613-23.
Tse, R Y C, Ho, C W and Ganesan, S (1999) Matching housing supply and demand: an empirical study of Hong Kong' s market. Construction Management and Economics, 17(05), 625-33.
Zhai, H and Russell, J S (1999) Stochastic modelling and prediction of contractor default risk. Construction Management and Economics, 17(05), 563-76.