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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Vilnius Gediminas Technical University
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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 |
work_keys_str_mv |
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