An expert system to optimize cost and schedule of heavy earthmoving operations for earth- and rock- filled dam projects

Success of major embankment dam construction projects is measured by the enormity of optimizing costs and schedules of selected heavy equipment based on their operational analyses. In this paper, the main objective is geared towards developing a knowledge-based decision support system for optimizin...

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Main Authors: Nizar Markiz, Ahmad Jrade
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2017-02-01
Series:Journal of Civil Engineering and Management
Subjects:
Online Access:http://journals.vgtu.lt/index.php/JCEM/article/view/957
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spelling doaj-be64423a209b4432b0fa3dc8f6e4e7452021-07-02T03:24:03ZengVilnius Gediminas Technical UniversityJournal of Civil Engineering and Management1392-37301822-36052017-02-0123210.3846/13923730.2015.1027258An expert system to optimize cost and schedule of heavy earthmoving operations for earth- and rock- filled dam projectsNizar Markiz0Ahmad Jrade1Department of Civil Engineering, University of Ottawa, Ottawa, ON, Canada, K1N 6N5Department of Civil Engineering, University of Ottawa, Ottawa, ON, Canada, K1N 6N5 Success of major embankment dam construction projects is measured by the enormity of optimizing costs and schedules of selected heavy equipment based on their operational analyses. In this paper, the main objective is geared towards developing a knowledge-based decision support system for optimizing costs of heavy earthmoving operations and corresponding linear schedules at early design stages. Also, the proposed system is capable of generating an auto­mated linear schedule based on stochastic scheduling techniques. Thus, a meta-heuristic simulated approach utilizing a metropolis algorithm is implemented to assist in generating optimized line-of balances. The successful implementation of the proposed system will provide the user with optimum fleet of equipment for performing earthwork operations and linear scheduling for strategic planning purposes. Towards the end, an actual dam construction project is utilized to numerically validate the proposed system and quantify its degree of accuracy. Results presented in this study are an­ticipated to be of major significance to owners, designers, and construction managers specialized in embankment dams heavy earthmoving operations and would contribute to the database of fleet management systems by incorporating a novel system that integrates heavy equipment economical operational analyses with its corresponding line of balance. First published online: 15 Dec 2015 http://journals.vgtu.lt/index.php/JCEM/article/view/957decision-supportheavy equipmentoperation analysiscost estimationlinear scheduling
collection DOAJ
language English
format Article
sources DOAJ
author Nizar Markiz
Ahmad Jrade
spellingShingle Nizar Markiz
Ahmad Jrade
An expert system to optimize cost and schedule of heavy earthmoving operations for earth- and rock- filled dam projects
Journal of Civil Engineering and Management
decision-support
heavy equipment
operation analysis
cost estimation
linear scheduling
author_facet Nizar Markiz
Ahmad Jrade
author_sort Nizar Markiz
title An expert system to optimize cost and schedule of heavy earthmoving operations for earth- and rock- filled dam projects
title_short An expert system to optimize cost and schedule of heavy earthmoving operations for earth- and rock- filled dam projects
title_full An expert system to optimize cost and schedule of heavy earthmoving operations for earth- and rock- filled dam projects
title_fullStr An expert system to optimize cost and schedule of heavy earthmoving operations for earth- and rock- filled dam projects
title_full_unstemmed An expert system to optimize cost and schedule of heavy earthmoving operations for earth- and rock- filled dam projects
title_sort expert system to optimize cost and schedule of heavy earthmoving operations for earth- and rock- filled dam projects
publisher Vilnius Gediminas Technical University
series Journal of Civil Engineering and Management
issn 1392-3730
1822-3605
publishDate 2017-02-01
description Success of major embankment dam construction projects is measured by the enormity of optimizing costs and schedules of selected heavy equipment based on their operational analyses. In this paper, the main objective is geared towards developing a knowledge-based decision support system for optimizing costs of heavy earthmoving operations and corresponding linear schedules at early design stages. Also, the proposed system is capable of generating an auto­mated linear schedule based on stochastic scheduling techniques. Thus, a meta-heuristic simulated approach utilizing a metropolis algorithm is implemented to assist in generating optimized line-of balances. The successful implementation of the proposed system will provide the user with optimum fleet of equipment for performing earthwork operations and linear scheduling for strategic planning purposes. Towards the end, an actual dam construction project is utilized to numerically validate the proposed system and quantify its degree of accuracy. Results presented in this study are an­ticipated to be of major significance to owners, designers, and construction managers specialized in embankment dams heavy earthmoving operations and would contribute to the database of fleet management systems by incorporating a novel system that integrates heavy equipment economical operational analyses with its corresponding line of balance. First published online: 15 Dec 2015
topic decision-support
heavy equipment
operation analysis
cost estimation
linear scheduling
url http://journals.vgtu.lt/index.php/JCEM/article/view/957
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