A Predictive-Reactive Dynamic Scheduling under Projects’ Resource Constraints for Construction Equipment

Mona Asudegi, Ali Haghani

Abstract

Major portion of projects’ cost is dedicated to construction equipment’s costs which signify the importance of employing optimal equipment’s schedules in projects. In this paper the problem of construction equipment scheduling for a company with several ongoing projects in different regions is studied. The goal is scheduling heavy construction equipment and their assignments to jobs so that the total cost for the company and disruptions in projects’ schedules is minimized while considering the priorities and critical paths of the projects. A robust predictive-reactive integer model with a hybrid dynamic approach is employed in modeling the problem. Case studies showed considerable savings in cost and minimizing disruption in schedules in real time.

References

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Paper Citation


in Harvard Style

Asudegi M. and Haghani A. (2013). A Predictive-Reactive Dynamic Scheduling under Projects’ Resource Constraints for Construction Equipment . In Proceedings of the 2nd International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES, ISBN 978-989-8565-40-2, pages 334-337. DOI: 10.5220/0004287003340337


in Bibtex Style

@conference{icores13,
author={Mona Asudegi and Ali Haghani},
title={A Predictive-Reactive Dynamic Scheduling under Projects’ Resource Constraints for Construction Equipment},
booktitle={Proceedings of the 2nd International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,},
year={2013},
pages={334-337},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004287003340337},
isbn={978-989-8565-40-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,
TI - A Predictive-Reactive Dynamic Scheduling under Projects’ Resource Constraints for Construction Equipment
SN - 978-989-8565-40-2
AU - Asudegi M.
AU - Haghani A.
PY - 2013
SP - 334
EP - 337
DO - 10.5220/0004287003340337