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

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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