Golizadeh, H; Banihashemi, S; Sadeghifam, A N and Preece, C (2017) Automated estimation of completion time for dam projects. International Journal of Construction Management, 17(3), pp. 197-209. ISSN 1562-3599
Abstract
An accurate estimation of construction duration for the successful completion of infrastructure projects is as important a task as keeping a project within the stipulated budget and quality. This research aims at developing an automated approach for estimating the duration of construction for dam projects by virtue of artificial neural network (ANN). Through literature searches and expert interviews, variables that critically influence the construction of dam projects were identified. A wide range of data on Iranian dam projects was used to develop seven ANN models. Different datasets were used to achieve the best performance by assessing the RMSE and R2 values as the reliability and validity indicators. Finally, a web-based automated prototype was developed and validated in order for stakeholders to estimate the duration of dam projects based on the ANN method and benefit from better infrastructure project management practices.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | ANN; construction duration; dam; infrastructure; prediction |
| Index terms: | prototype, artificial neural network, interview, dataset, estimating, dam project, management practice, completion time, validity, estimation, duration, estimate, infrastructure project |
| Subjects: | management, project controls, data management, infrastructure and transport systems, data collection methods, evaluation and assessment methods, modelling and simulation, financial and cost management |
| Topics: | Time Control, Digital Applications, Engineering Principles, Research Practice, Cost Management, Business Strategy |
| Descriptive scope: | 4 PCEA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here