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An Artificial Neural Network Approach to Allocating Construction Resources

by Abdullah M. Alsugair, (A.M.ASCE), King Saud Univ, Riyadh, Saudi Arabia,
David Y. Chang, King Saud Univ, Riyadh, Saudi Arabia,



Document Type: Proceeding Paper

Part of: Computing in Civil Engineering

Abstract:

This paper presents an approach to alleviate the problem of depending upon human expert in allocating construction resources. This approach is using artificial neural networks to capture and automate the human expert knowledge in selecting the size and the number of equipment units for earthmoving processes. Specifically, an artificial neural network is developed to capture construction process experience and knowledge of a construction process planner, to recommend a preliminary resource assignment based on previous experiences and process data, and to adapt new experiences as they become available. An artificial neural network prototype for allocating construction resources is developed using Backpropagation learning algorithm. Phases of developing an artificial neural network prototype are explained in this paper using an earthmoving example.

Subject Headings: Neural networks | Construction management | Construction equipment | Resource allocation | Earthmoving | Algorithms | Project management

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