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Al-Hajj, A and Horner, M W (1998) Modelling the running costs of buildings. Construction Management and Economics, 16(04), 459-70.
Boussabaine, A H and Kaka, A P (1998) A neural networks approach for cost-flow forecasting. Construction Management and Economics, 16(04), 471-9.
Crosthwaite, D (1998) Note - The internationalization of British construction companies 1990-1996: an empirical analysis. Construction Management and Economics, 16(04), 389-95.
El-Rayes, K and Moselhi, O (1998) Resource-driven scheduling of repetitive activities. Construction Management and Economics, 16(04), 443-6.
Gowda, R, Singh, A and Connolly, M (1998) Holistic enhancement of the production analysis of bituminous paving operations. Construction Management and Economics, 16(04), 417-32.
- Type: Journal Article
- Keywords: cyclone; modelling; process; productivity; simulation; utility factor
- ISBN/ISSN: 0144-6193
- URL: https://doi.org/10.1080/014461998372204
- Abstract:
The construction and repair of highways are becoming very important in these days of crumbling infra-structure. Costs for these projects have continued to increase. In order for contractors to stay competitive, it is essential that their construction operations be as productive as possible. Money for research usually does not exist for the average contractor. An inexpensive solution for production studies is process simulation, which can help improve the productivity of construction operations. This paper focuses on the paving cycle of a highway resurfacing project, using MicroCyclone simulation software. The process modelling using MicroCyclone is applied readily to any construction cyclic process, and aids the engineer in determining the most economical and efficient way to plan resources for processes. Different production parameters are measured and translated to a utility factor that indicates the performance of the system. Results from the utility factor perspective are considered more sensitive in decision making, owing to the holistic nature of the utility factor. Numerous statistical runs were undertaken, and parameters were weighted and averaged. Based on the holistic analysis, it was possible to establish that 12 trucks were optimal for the system, a determination that cannot be made using deterministic analysis, but that a 7% waste of resources was unavoidable with the existing system of resources. This paper highlights the analytical method of using MicroCyclone output to generate useful information that can be used to compare in detail the performance of different scenarios.
Lingard, H and Rowlinson, S M (1998) Behaviour-based safety management in Hong Kong's construction industry: the results of a field study. Construction Management and Economics, 16(04), 481-8.
Marsh, L and Finch, E (1998) Note - Attitudes towards auto-ID technologies within the UK construction industry. Construction Management and Economics, 16(04), 383-8.
McCabe, S, Rooke, J D, Seymour, D E and Brown, P (1998) Quality managers, authority and leadership. Construction Management and Economics, 16(04), 447-57.
Notman, D, Norman, G, Flanagan, R and Agapiou, A (1998) A time-series analysis of UK annual and quarterly construction output data (1955-1995). Construction Management and Economics, 16(04), 409-16.
Ofori, G and Debrah, Y A (1998) Flexible management of operatives in the Singapore construction industry. Construction Management and Economics, 16(04), 397-408.
Shi, J and AbouRizk, S M (1998) Continuous and combined event-process models for simulating pipeline construction. Construction Management and Economics, 16(04), 489-98.