TIM-8640 V3

Burkova, I., Titarenko, B., Hasnaoui, A., & Titarenko, R. (2019). Resource allocation problem in project management. E3S Web of Conferences, 97(01003), 1-11. https://doi.org/https://doi.org/10.1051/e3sconf/20199701003
Read this conference paper to discover methods to use algorithms to aid project management across projects.

Hariga, M., Shamayleh, A., & El‐Wehedi, F. (2019). Integrated time–cost tradeoff and resources leveling problems with allowed activity splitting [Article]. International Transactions in Operational Research, 26(1), 80-99. https://doi.org/https://doi.org/10.1111/itor.12329
Read this article to explore the value of linear programming to improve time and cost influences on resource allocation. Read pages 80 to 85 and page 98.

Chen, J., Tong, S., Xie, H., Nie, Y., & Zhang, J. (2019). Model and algorithm for human resource-constrained R&D program scheduling optimization. Discrete Dynamics in Nature & Society, 2019, 1-13. doi:10.1155/2019/2320632
Read this article to gain an academic research insight into scheduling resource-constrained resources across multiple projects and needs.

Morell, J. A. (2019). Linking management and evaluation: Project schedules as program models. American Journal of Evaluation, 40(4), 472-489. doi:10.1177/1098214018784198
Read this article because of its focus on execution and the implications of influences between projects. Read pages 472 to 487.

Schrage, B. (2018). Project portfolio management can ensure best use of time and resources. Natural Gas & Electricity,(1), 21-25. doi:10.1002/gas.22069
Read this article, noting its focus on management and execution, implying that it provides valuable content for program management of multiple projects.

Villafáñez, F., Poza, D., López-Paredes, A., Pajares, J., & Olmo, R. D. (2019). A generic heuristic for multi-project scheduling problems with global and local resource constraints (RCMPSP). Soft Computing - A Fusion of Foundations, Methodologies & Applications, 23(10), 3465-3479. doi:10.1007/s00500-017-3003-y
Read the entire article. Its emphasis is on scheduling problems and related resource constraints within remote and global influences.