Input modeling for construction simulation
Page: 1-376
1990
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
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- Abstract Views242
Thesis / Dissertation Description
This research focuses on modeling input data for simulation of construction operations. The first part of the research constitutes an evaluation and categorization of a number of real construction data sets. This categorization provides insight into the properties of construction data. In the second part of the research a number of methods are developed to enable accurate and efficient construction of input models when (1) observations are available, and (2) in a data deficient environment which is frequently encountered in construction planning. The third part of the research constitutes a sensitivity analysis of the effect of using different input models on the output of simulation. A number of realistic simulation models of construction processes were used as test beds for this part. A secondary objective of the research is the implementation of all methods and findings in portable software. The later part is documented in two main packages namely, BetaFit and BetaFitX.
Bibliographic Details
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