On the Advancement of Project Management through a Flexible Integration of Machine Learning and Operations Research Tools

Nikos Kanakaris, Nikos Karacapilidis, Alexis Lazanas

Abstract

Project Management is a complex practice that is associated with a series of challenges to organizations and experts worldwide. Aiming to advance this practice, this paper proposes a hybrid approach that builds on the synergy between contemporary Machine Learning and Operations Research tools. The proposed approach integrates the predictive orientation of Machine Learning techniques with the prescriptive nature of Operations Research algorithms. It can aid the planning, monitoring and execution of common PM tasks such as resource allocation, task assignment, and task duration estimation. The applicability of our approach is demonstrated through two realistic examples.

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Paper Citation


in Harvard Style

Kanakaris N., Karacapilidis N. and Lazanas A. (2019). On the Advancement of Project Management through a Flexible Integration of Machine Learning and Operations Research Tools.In Proceedings of the 8th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES, ISBN 978-989-758-352-0, pages 362-369. DOI: 10.5220/0007387103620369


in Bibtex Style

@conference{icores19,
author={Nikos Kanakaris and Nikos Karacapilidis and Alexis Lazanas},
title={On the Advancement of Project Management through a Flexible Integration of Machine Learning and Operations Research Tools},
booktitle={Proceedings of the 8th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,},
year={2019},
pages={362-369},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007387103620369},
isbn={978-989-758-352-0},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,
TI - On the Advancement of Project Management through a Flexible Integration of Machine Learning and Operations Research Tools
SN - 978-989-758-352-0
AU - Kanakaris N.
AU - Karacapilidis N.
AU - Lazanas A.
PY - 2019
SP - 362
EP - 369
DO - 10.5220/0007387103620369