Abstract: Stochastic, discrete-event simulation modeling has emerged as a useful tool for facilitating decision making in construction. Owing to the rigidity inherent to distribution-based inputs, current simulation models have ...

Abstract: Simulation has assisted engineers in various decision-making processes for decades. Particularly, modeling inputs as probabilistic distributions enables these stochastic models to capture uncertainties and represent random ...

Abstract: To achieve meaningful results, data-driven decision-support systems in construction require the integration of fragmented data from multiple standalone databases. In practice, a manual brute-force approach is often the ...

Abstract: Construction safety is a critical concern for industry and academia, and numerous models and algorithms have been developed to predict incidents or accidents to facilitate proactive decision-making. However, previous studies ...

Abstract: Industrial projects are primarily constructed using a modularized and prefabricated approach. Modules are produced in an offsite fabrication shop and then transported to the construction site for installation. Thus, timely ...

Abstract: Although methods for assessing and simulating the influence of safety-related measures on safety performance have been proposed, practical applications remain limited. Data required by these methods are dispersed across ...