2692-2967ISSN (Online)
2770-0216ISSN (Print)
Volume 10 , Issue 1 , PP: 08-15, 2023 | Cite this article as | XML | Html | PDF | Full Length Article
Mahmoud A. Zaher 1 * , Nabil M. Eldakhly 2
Doi: https://doi.org/10.54216/AJBOR.100101
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.
Machine Learning , Resource Allocation , Multi-project Environment , Deep Learning
[1] Szalay, Imre, Ádám Kovács, and Zoltán Sebestyén. "Integrated framework for project management office evaluation." Procedia engineering 196 (2017): 578-584.
[2] Repenning, Nelson P. "A dynamic model of resource allocation in multi‐project research and development systems." System Dynamics Review: The Journal of the System Dynamics Society 16.3 (2000): 173-212.
[3] Hagan, George, Denise Bower, and Nigel Smith. "Managing complex projects in multi-project environments." C. a. L. Egbu, ECW (Chair), Symposium conducted at the meeting of the 27th Annual ARCOM Conference, Bristol, UK. 2011.
[4] Pakgohar, A. (2014). Hierarchical Multi-Project Planning and Supply Chain Management: an Integrated Framework.
[5] Ben-Zvi, T., & Lechler, T. G. (2011, July). Resource allocation in multi-project environments: Planning vs. execution strategies. In 2011 Proceedings of PICMET'11: Technology Management in the Energy Smart World (PICMET) (pp. 1-7). IEEE.
[6] Archer, N. P., & Ghasemzadeh, F. (1999). An integrated framework for project portfolio selection. International Journal of Project Management, 17(4), 207-216.
[7] KHATUN, Mst Taskia, and Kazuo HIEKATA. "A Model-Based Hybrid System for Human Resource Allocation in Multi-Project Management." (2022).
[8] Laslo, Zohar, and Albert I. Goldberg. "Resource allocation under uncertainty in a multi-project matrix environment: Is organizational conflict inevitable?." International journal of project management 26.8 (2008): 773-788..
[9] Hans, Erwin W., et al. "A hierarchical approach to multi-project planning under uncertainty." Omega 35.5 (2007): 563-577.
[10] Engwall, Mats, and Anna Jerbrant. "The resource allocation syndrome: the prime challenge of multi-project management?." International journal of project management 21.6 (2003): 403-409.
[11] Rueda-Velasco, Feizar Javier, Carlos Efraín Cubaque, and Juan Martin Ibañez Latorre. "Project Scheduling with Dynamic Resource Allocation in a Multi-project Environment. Case: Bogotá Electricity Distributor." Applied Computer Sciences in Engineering: 4th Workshop on Engineering Applications, WEA 2017, Cartagena, Colombia, September 27-29, 2017, Proceedings 4. Springer International Publishing, 2017.
[12] Seboni, Lone, and Apollo Tutesigensi. "Development and verification of a conceptual framework for project manager-to-project (PM2P) allocations in multi-project environments." Proceedings of PICMET'14 Conference: Portland International Center for Management of Engineering and Technology; Infrastructure and Service Integration. IEEE, 2014.
[13] Riesener, Michael, et al. "Concept for competency-based resource allocation in multi-project environments." Proceedings of The 4th International Conference on Management, Economics and Finance, 10.-12.09. 2021, Zurich, Switzerland. 2021.
[14] Abrantes, Rui, and José Figueiredo. "Resource management process framework for dynamic NPD portfolios." International Journal of Project Management 33.6 (2015): 1274-1288.
[15] Zhou, Qianwen, et al. "Integrated framework of horizontal and vertical cross-project knowledge transfer mechanism within project-based organizations." Journal of Management in Engineering 36.5 (2020): 04020062.
[16] Li, Feifei, Zhe Xu, and Haitao Li. "A multi-agent based cooperative approach to decentralized multi-project scheduling and resource allocation." Computers & Industrial Engineering 151 (2021): 106961.
[17] Melchiors, Philipp, et al. "Dynamic order acceptance and capacity planning in a stochastic multi-project environment with a bottleneck resource." International Journal of Production Research 56.1-2 (2018): 459-475.
[18] Lee, Bengee, and James Miller. "Multi-project management in software engineering using simulation modelling." Software Quality Journal 12 (2004): 59-82.
[19] Krüger, Doreen, and Armin Scholl. "A heuristic solution framework for the resource constrained (multi-) project scheduling problem with sequence-dependent transfer times." European Journal of Operational Research 197.2 (2009): 492-508.
[20] He, Naihui, David Z. Zhang, and Baris Yuce. "Integrated multi-project planning and scheduling-a multiagent approach." European Journal of Operational Research 302.2 (2022): 688-699.
