Title : ( Feasibility study of automatically performing the concrete delivery dispatching through machine learning techniques )
Authors: Mojtaba Maghrebi , Claude Sammut , S. Travis Waller ,
Full TextAbstract
The purpose of this paper is to study the implementation of machine learning (ML) techniques in order to automatically measure the feasibility of performing ready mixed concrete (RMC) dispatching jobs.
Keywords
, Australia, Information technology, Computer-aided design, Automation, Knowledge management, Modelling
@article{paperid:1074984,
author = {Maghrebi, Mojtaba and Claude Sammut and S. Travis Waller},
title = {Feasibility study of automatically performing the concrete delivery dispatching through machine learning techniques},
journal = {Engineering, Construction and Architectural Management},
year = {2015},
volume = {22},
number = {5},
month = {September},
issn = {0969-9988},
pages = {573--590},
numpages = {17},
keywords = {Australia; Information technology; Computer-aided design; Automation;
Knowledge management; Modelling},
}
%0 Journal Article
%T Feasibility study of automatically performing the concrete delivery dispatching through machine learning techniques
%A Maghrebi, Mojtaba
%A Claude Sammut
%A S. Travis Waller
%J Engineering, Construction and Architectural Management
%@ 0969-9988
%D 2015
