Abstracts – Browse Results
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Al-Sobiei, O S, Arditi, D and Polat, G (2005) Predicting the risk of contractor default in Saudi Arabia utilizing artificial neural network (ANN) and genetic algorithm (GA) techniques. Construction Management and Economics, 23(04), 423-30.
Couto, J P and Teixeira, J C (2005) Using linear model for learning curve effect on highrise floor construction. Construction Management and Economics, 23(04), 355-64.
Dainty, A R J, Ison, S G and Briscoe, G H (2005) The construction labour market skills crisis: the perspective of small-medium-sized firms. Construction Management and Economics, 23(04), 387-98.
Hassanein, A and Moselhi, O (2005) Accelerating linear projects. Construction Management and Economics, 23(04), 377-85.
- Type: Journal Article
- Keywords: repetitive construction; acceleration; crew productivity; time-cost trade-off
- ISBN/ISSN: 0144-6193
- URL: https://doi.org/10.1080/01446190410001673571
- Abstract:
Scheduling linear repetitive construction projects, such as highways and pipelines, poses unique challenges due to maintaining crew work continuity. An efficient method is presented, developed to accelerate the delivery of this class of projects so as to meet a specified deadline with least associated cost. The method is simple and ensures crew work continuity. An iterative approach is employed, where, in each iteration, the project schedule is analysed and an activity is identified as the controlling activity. A controlling activity is an activity that if accelerated, would reduce project duration at least additional cost. Upon its identification, the method selects an expediting strategy that would reduce project duration, and the project is rescheduled. Several expediting strategies are considered, including working overtime, double shifts and weekends. The method is implemented in a prototype software that operates in a Windows® environment, providing a user-friendly graphical interface. It has an open architecture, enabling the user to actively participate in tailoring the generated schedule to suit the requirements of the project at hand. The proposed method accounts for incentives and liquidated damages to aid users in identifying the most cost-efficient schedule. A relational database model is implemented in Microsoft Access® to store typical crews and their associated productivity, as well as their availability dates. A project, drawn from the literature, is analysed to demonstrate the basic features of the proposed method and highlight its capabilities.
Liu, S L, Wang, S Y and Lai, K K (2005) A general multivariate analysis approach for determining bid mark-up strategy. Construction Management and Economics, 23(04), 347-53.
Min, W and Pheng, L S (2005) Economic order quantity (EOQ) versus just-in-time (JIT) purchasing: an alternative analysis in the ready-mixed concrete industry. Construction Management and Economics, 23(04), 409-22.
Ndekugri, I and Russell, V (2005) Insolvency and resolution of construction contract disputes by adjudication in the UK construction industry. Construction Management and Economics, 23(04), 399-408.
Rahman, M M and Kumaraswamy, M M (2005) Assembling integrated project teams for joint risk management. Construction Management and Economics, 23(04), 365-75.
Xenidis, Y and Angelides, D (2005) The financial risks in build-operate-transfer projects. Construction Management and Economics, 23(04), 431-41.