A Quantitative Model for Optimal Budget Distribution and Allocation to Construction Projects (Case Study: Shiraz University)

Authors

  • Fatemeh Kiani Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran.
  • Mehdi Abtahi * Department of Management, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran.

https://doi.org/10.48314/ijorai.v1i3.70

Abstract

Findings from previous studies indicate that despite the existence of extensive research, comprehensive models that simultaneously consider criteria such as project desirability, marketability, performance quality, and expert preferences have received limited attention. Therefore, the present study focuses on developing a quantitative model for optimizing the distribution and allocation of budgets to development projects in 2024. From an applied perspective, the research incorporates all the aforementioned criteria. The research population consists of selected experts from Shiraz University. To solve the model, a comprehensive approach method is employed due to the multivariate nature of the problem, while data analysis is conducted using GOM software. For validation, data collected from Shiraz University were tested under both deterministic and fuzzy conditions with different utility values. The results of implementing the proposed model indicate that, in each period, the projects selected for budget allocation are clearly identified and the corresponding allocable budget for each development project is determined accordingly.

Keywords:

Allocation, Budget, Distribution, Quantitative model

References

  1. [1] Shah, A. (2007). Budgeting and budgetary institutions. World bank publications. http://documents.worldbank.org/curated/en/580191468314360347
  2. [2] A, F. (2001). Governmental budgeting in Iran. Government Education Management Center. (In Persian). https://B2n.ir/fz3937
  3. [3] Tirkolaee, E. B., Goli, A., Hematian, M., Sangaiah, A. K., & Han, T. (2019). Multi-objective multi-mode resource constrained project scheduling problem using Pareto-based algorithms. Computing, 101(6), 547–570. https://doi.org/10.1007/s00607-018-00693-1
  4. [4] Ayatollahi, A. (1995). Principles of planning. Center for Management of Governmental Administration. (In Persian). https://B2n.ir/jm5095
  5. [5] Bufan, I. D. (2013). The role of the budgeting in the management process: planning and control. SEA--practical application of science, 1(01), 16–37. https://www.ceeol.com/search/article-detail?id=78751
  6. [6] Azar., A., & Seyed Esfahani., M. (1996). Deterministic mathematical approach in budgeting. Journal of management knowledge, 31, 10–19. (In Persian). https://journals.ut.ac.ir/article_15928.html
  7. [7] Kasimin, H., & Yusoff, M. (1996). The use of a soft systems approach in developing information systems for development planning: an exploration in regional planning. Computers, environment and urban systems, 20(3), 165–180. https://doi.org/10.1016/S0198-9715(96)00012-9
  8. [8] Taherpour Kalantari, H., Danesh-Fard, K., & Reza’ei Dezzaki, F. (2011). Identifying factors affecting the deployment of performance budgeting law in governmental organizations. Scientific and research quarterly journal, 16(2), 31–56. (In Persian). https://dor.isc.ac/dor/20.1001.1.22519092.1390.16.2.2.7
  9. [9] Pourali, M. R., & Kakovan, S. (2014). Requirements for establishing operational budgeting (case study: Babol University of medical sciences and health services). Auditing knowledge, 14(57), 191–217. (In Persian). https://www.sid.ir/fileserver/jf/4026013935709
  10. [10] Namazi, M., & Kamali, K. (2001). Investigating the allocation of budget funds using the ideal planning model, case study: Fars province. Accounting and auditing reviews, 9(30), 29–57. (In Persian). https://journals.ut.ac.ir/article_13226_c3978152f959db96a27bdb73bdf9f2c4.pdf
  11. [11] Naldi, M., Nicosia, G., Pacifici, A., & Pferschy, U. (2016). Maximin fairness-profit tradeoff in project budget allocation. Procedia computer science, 100, 313–320. https://doi.org/10.1016/j.procs.2016.09.162
  12. [12] Zamfirescu, L., & Zamfirescu, C. B. (2013). Goal programming as a decision model for performance-based budgeting. Procedia computer science, 17, 426–433. https://doi.org/10.1016/j.procs.2013.05.055
  13. [13] Frow, N., Marginson, D., & Ogden, S. (2010). “Continuous” budgeting: reconciling budget flexibility with budgetary control. Accounting, organizations and society, 35(4), 444–461. https://doi.org/10.1016/j.aos.2009.10.003
  14. [14] Hassan, N., Azmi, D. F., Guan, T. S., & Hoe, L. W. (2013). A goal programming approach for library acquisition allocation. Applied mathematical sciences, 7(140), 6977–6981. http://dx.doi.org/10.12988/ams.2013.310574
  15. [15] Dan, E. D., & Desmond, O. (2013). Goal programming: an application to budgetary allocation of an institution of higher learning. Research journal in engineering and applied sciences, 2(2), 95–105. https://B2n.ir/zk1062
  16. [16] Wang, X., Li, F., & Jia, F. (2020). Optimal advertising budget allocation across markets with different goals and various constraints. Complexity, 2020(1), 6162056. https://doi.org/10.1155/2020/6162056
  17. [17] Fereshtehnejad, E., Shafieezadeh, A., & Hur, J. (2022). Optimal budget allocation for bridge portfolios with element-level inspection data: a constrained integer linear programming formulation. Structure and infrastructure engineering, 18(6), 864–878. https://doi.org/10.1080/15732479.2021.1875489
  18. [18] Nascimento, C. R. S. De M. S., Almeida-Filho, A. T. De, & Perez Palha, R. (2025). A TOPSIS-based framework for construction projects’ portfolio selection in the public sector. Engineering, construction and architectural management, 32(4), 2553–2570. https://doi.org/10.1108/ECAM-05-2023-0534
  19. [19] Lotfi, R., Vaseei, M., Ali, S. S., Davoodi, S. M. R., Bazregar, M., & Sadeghi, S. (2024). Budget allocation problem for projects with considering risks, robustness, resiliency, and sustainability requirements. Results in engineering, 24, 102828. https://doi.org/10.1016/j.rineng.2024.102828

Downloads

Published

2025-09-05

Issue

Vol. 1 No. 3 (2025): International Journal of Operations Research and Artificial Intelligence (IJORAI)

Section

Articles

How to Cite

Kiani, F. ., & Abtahi, M. . (2025). A Quantitative Model for Optimal Budget Distribution and Allocation to Construction Projects (Case Study: Shiraz University). International Journal of Operations Research and Artificial Intelligence , 1(3), 110-120. https://doi.org/10.48314/ijorai.v1i3.70

Similar Articles

1-10 of 12

You may also start an advanced similarity search for this article.