Modeling Earthmoving Operations in Real-Time Using Hybrid Fuzzy Simulation

Nima Gerami Seresht, Aminah Robinson Fayek*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Predicting and optimizing performance in earthmoving operations is critical, because they are essential to many construction projects. The complexity of modeling earthmoving operations remains challenging, even with several modeling techniques available, including simulation. This paper advances the state-of-the-art of modeling earthmoving operations by introducing a hybrid fuzzy system dynamics–discrete event simulation framework with the capacity to: capture the dynamism of performance in earthmoving operations; capture subjective uncertainty of several factors affecting them; model their sequential nature and resource constraints; and determine actual travel time, in real time, using online navigation systems. Findings from this research confirm the proposed framework (1) extends the application of simulation techniques for modeling construction processes involving dynamic input variables and subjective uncertainty, through its ability to capture the non-probabilistic uncertainty of construction systems, and (2) when combined with the use of online navigation systems to assess trucks’ travel time, improves the accuracy of earthmoving operation models.
Original languageEnglish
Pages (from-to)627-635
JournalCanadian Journal of Civil Engineering
Volume49
Issue number4
Early online date3 Aug 2021
DOIs
Publication statusPublished - 1 Apr 2022

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