Graham, L D and Smith, S D (2003) A hybrid model to improve the estimation of concreting operations. In: Greenwood, D J (ed.) Proceedings of 19th Annual ARCOM Conference, 3-5 September 2003, Brighton, UK.
Abstract
Stochastic construction operations, such as concreting, have been estimated effectively in the past using simulation. However, this effective estimation is only possible if the input (frequently probability distributions) to a simulation model is accurate. This accuracy is difficult to attain, and has prevented the widespread application of simulation in industry. An artificial intelligence technique, Case-Based Reasoning (CBR) is proposed as a method of improving the accuracy of input to a simulation model, allowing better estimates of concreting operations to be made. A simulation model, MatSim and a hybrid CBR-simulation model, CBRSim, have been developed (based on real construction data), validated, and compared to measure any improvements in output as a consequence of using a CBR-based input. CBRSim produced results that were more accurate and consistent than those of MatSim, indicating the potential advantage of using a CBR-based input in a simulation model of concreting operations. CBRSim is useful for the planning of concreting operations and may increase the industrial use of simulation as an effective estimation tool of stochastic construction operations.
| Item Type: | Conference Paper (Paper) |
|---|---|
| Uncontrolled Keywords: | case based reasoning; concreting operations; simulation modelling; planning |
| Index terms: | estimate, artificial intelligence, concreting, simulation modelling, accuracy, construction operation, probability distribution, estimation, case-based reasoning |
| Subjects: | cognitive psychology, building construction, statistical analysis, professional development, financial and cost management, analytical methods, construction operations, artificial intelligence |
| Topics: | Site Management, Digital Applications, Research Practice, Information Management, Engineering Principles, Cost Management |
| Descriptive scope: | 4 PCTA |
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