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Modeling Operations of a Construction Worksite System
Author(s) -
Jayawant Yatin,
Joshi Nikhil,
Tole Dipali
Publication year - 2019
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.2019.00684.x
Subject(s) - truck , computer science , aggregate (composite) , work (physics) , industrial engineering , operations research , simulation , engineering , automotive engineering , mechanical engineering , materials science , composite material
A construction worksite is a complex system that consists of different types of machines working together interdependently. The overall performance or efficiency of an operation is dependent on many factors, such as the combination of machines used, fuel consumption rates, job allocation among machines and coordination rules, etc. Building detailed behavior models can help contractors or planners evaluate system performance and make optimal choices for configuring the operation. Using aggregate material movement between two piles as an example, this paper demonstrates the development of an Agent Based Model (ABM) to simulate the operations at a construction worksite. The model incorporates detailed behaviors of 4‐wheel drive loaders (4WDLs) & articulated dump trucks (ADTs) used in the operation, along with their interactions. The simulation can be used to calculate the time taken for the operation and corresponding costs. Consequently, the model can further be used to determine the optimal number and combination of machines to be used, so as to minimize the cost or time taken for the operation. Our example shows the potential for such models to be used by contractors to calculate accurate time and effort estimates for a job, and thereby produce competitive bids and efficient plans. Finally, we also discuss how such models can serve towards building and evaluating algorithms for autonomous machines that can work collaboratively in complex and dangerous environments, such as construction worksites.