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American Journal of Business and Operations Research
Volume 10 , Issue 1, PP: 08-15 , 2023 | Cite this article as | XML | Html |PDF

Title

An Integrated Framework for Dynamic Resource Allocation in Multi-project Environment

  Mahmoud A. Zaher 1 * ,   Nabil M. Eldakhly 2

1  Faculty of Artificial Intelligence, Data Science department, Egyptian Russian University (ERU), Cairo, Egypt
    (mahmoud.zaher@eru.edu.eg)

2  Faculty of Computers and Information, Sadat Academy for Management Sciences, Cairo, Egypt & French University in Cairo, Egypt
    (nabil.omr@sadatacademy.edu.eg)


Doi   :   https://doi.org/10.54216/AJBOR.100101

Received: November 08, 2022 Accepted: February 26, 2023

Abstract :

This paper proposes an integrated machine learning (ML) framework for dynamic resource allocation in a multi-project environment. The framework utilizes machine learning algorithms to predict future resource demands and identify potential resource shortages. The proposed framework considers various factors such as project priorities, resource availability, and project deadlines to optimize resource allocation decisions. The framework is designed to continuously learn from past resource allocation decisions and improve future resource allocation strategies. The effectiveness of the proposed framework is evaluated through a case study in a real-world multi-project environment. The results show that the framework can significantly improve resource utilization and project completion times while reducing resource waste and cost. Overall, the proposed framework provides a practical solution for dynamic resource allocation in complex multi-project environments.

Keywords :

Machine Learning; Resource Allocation; Multi-project Environment; Deep Learning

References :

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Cite this Article as :
Style #
MLA Mahmoud A. Zaher, Nabil M. Eldakhly. "An Integrated Framework for Dynamic Resource Allocation in Multi-project Environment." American Journal of Business and Operations Research, Vol. 10, No. 1, 2023 ,PP. 08-15 (Doi   :  https://doi.org/10.54216/AJBOR.100101)
APA Mahmoud A. Zaher, Nabil M. Eldakhly. (2023). An Integrated Framework for Dynamic Resource Allocation in Multi-project Environment. Journal of American Journal of Business and Operations Research, 10 ( 1 ), 08-15 (Doi   :  https://doi.org/10.54216/AJBOR.100101)
Chicago Mahmoud A. Zaher, Nabil M. Eldakhly. "An Integrated Framework for Dynamic Resource Allocation in Multi-project Environment." Journal of American Journal of Business and Operations Research, 10 no. 1 (2023): 08-15 (Doi   :  https://doi.org/10.54216/AJBOR.100101)
Harvard Mahmoud A. Zaher, Nabil M. Eldakhly. (2023). An Integrated Framework for Dynamic Resource Allocation in Multi-project Environment. Journal of American Journal of Business and Operations Research, 10 ( 1 ), 08-15 (Doi   :  https://doi.org/10.54216/AJBOR.100101)
Vancouver Mahmoud A. Zaher, Nabil M. Eldakhly. An Integrated Framework for Dynamic Resource Allocation in Multi-project Environment. Journal of American Journal of Business and Operations Research, (2023); 10 ( 1 ): 08-15 (Doi   :  https://doi.org/10.54216/AJBOR.100101)
IEEE Mahmoud A. Zaher, Nabil M. Eldakhly, An Integrated Framework for Dynamic Resource Allocation in Multi-project Environment, Journal of American Journal of Business and Operations Research, Vol. 10 , No. 1 , (2023) : 08-15 (Doi   :  https://doi.org/10.54216/AJBOR.100101)