loading
Documents

Research.Publish.Connect.

Paper

Authors: Nikos Kanakaris ; Nikos Karacapilidis and Alexis Lazanas

Affiliation: Industrial Management and Information Systems Lab, MEAD, University of Patras, 26504 Rio Patras, Greece

ISBN: 978-989-758-352-0

Keyword(s): Project Management, Machine Learning, Operations Research, Intelligent Optimization.

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.

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.232.99.123

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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

@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},
}

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

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.