Publications

1. Bafail, O., & Alamoudi, M. (2025). Prioritizing Worker-Related Factors of Safety Climate Using Fuzzy DEMATEL Analysis. Systems, 13(5), 383. https://doi.org/10.3390/systems13050383

2. Bafail, O., & Hanbazazah, A. (2025). Optimizing Tour Guide Selection: A Best–Worst Scaled Assessment of Critical Performance Criteria for Enhanced Tour Quality. Sustainability 17(9), 4213. https://doi.org/10.3390/su17094213

3. Bafail, O. (2025). Evaluating smart city technology efficiency and citizen satisfaction using data envelopment analysis. International Journal of Strategic Property Management, 29(1), 62–80. https://doi.org/10.3846/ijspm.2025.23584

4. Bafail, O., & Alamoudi, M. (2024). Investigation and Analysis of Interrelationships Among Safety Managerial Aspects Affecting Safety Climate Using Decision-Making Trial and Evaluation Laboratory Approach. Sustainability, 16(24), 10924. https://doi.org/10.3390/su162410924

5. Bafail, O. (2024). Optimizing Smart City Strategies: A Data-Driven Analysis Using Random Forest and Regression Analysis. Applied Sciences, 14(23), 11022. https://doi.org/10.3390/app142311022

6. Iskanderani, S.; Bafail, O.; Alamoudi, M. (2023) "Optimizing Sugar Manufacturing: A Hybrid Simulation-Based Approach and MCDM for Efficient Decision Making"Axioms 12, no. 10: 975. https://doi.org/10.3390/axioms12100975

7. Hamza, M.; Bafail, O.; Alidrisi, H. (2023) "HVAC Systems Evaluation and Selection for Sustainable Office Buildings: An Integrated MCDM Approach", Buildings, 13, 1847. DOI: https://doi.org/10.3390/buildings13071847

8. Tobaigy, F., Alamoudi, M., Bafail, O. (2023) "Human Development Index: Determining and Ranking the Significant Factors", International Journal of Engineering Research & Technology, 12(3), 231-245 DOI: 10.17577/IJERTV12IS030142

9. Balubaid, M., Gulzar, W. A., Aburas, H., Taylan, O., Alkabaa, A. S., Bafail, O. A., Makki, A. A., Alqahtani, A. Y., Alidrisi, H. M., Al-sasi, B. O., Karuvatt, S. A., & Alidrisi, H. (2023). MONITORING THE PERFORMANCE OF AGRICULTURAL AND FOOD SECTOR COMPANIES USING DEA. 13(2), 9–24. https://doi.org/10.31407/ijees13.2

10. Alamoudi, M.H., and Bafail, O. A. (2022) “BWM—RAPS Approach for Evaluating and Ranking Banking Sector Companies Based on Their Financial Indicators in the Saudi Stock Market”, Journal of Risk and Financial Management, 15(10), 467. https://doi.org/10.3390/jrfm15100467

11. R. M. S. Abdulaal and O. A. Bafail (2022) “Two New Approaches (RAMS-RATMI) in Multi-Criteria Decision-Making Tactics,” Journal of Mathematics, vol. 2022, Article ID 6725318, 20 pages. https://doi.org/10.1155/2022/6725318

12. Rahaman, M.; Abdulaal, R.M.S.; Bafail, O.A.; Das, M.; Alam, S.; Mondal, S.P., (2022) "An Insight into the Impacts of Memory, Selling Price and Displayed Stock on a Retailer’s Decision in an Inventory Management Problem". Fractal Fract., 6, 531. https://doi.org/10.3390/fractalfract6090531

13. Bafail, Omer (2022)."A DEMATEL Framework for Modeling Cause-and-Effect Relationships of Inbound Contamination in Single-Stream Recycling Programs" Sustainability 14, no. 17: 10884.

https://doi.org/10.3390/su141710884

14. Bafail, Omer A., Reda M. S. Abdulaal, and Mohammad R. Kabli. (2022). "AHP-RAPS Approach for Evaluating the Productivity of Engineering Departments at a Public University" Systems 10, no. 4: 107. https://doi.org/10.3390/systems10040107

15. Bafail, O., & Abdulaal, R. M. (2022). A Combined BWM-TOPSIS Approach Versus AHP-TOPSIS Approach: An Application to Solid Waste Management. The 3rd International Conference on Industrial Engineering and Industrial Management (IEIM 2022). Association for Computing Machinery, New York, NY, USA, 27-33, https://dl.acm.org/doi/10.1145/3524338.3524343

16. Noaman, A., Bafail, O., Abdulaal, R.M., & Alamoudi, M. H. (2022). Evaluation of University Research Centers Performance Using Combined Multi-Criteria Decision-Making Model. International Journal of Advanced Engineering Research and Applications, 8(1)DOI: 10.46593/ijaera.2022.v08i01.002

17. Warrad, I. O., Abdulaal, R. M. S., Bafail, O. A., & Alamoudi, M. H. (2021). Four Integrated MCDM Models for Construction Contractors’ Selection Application at Al-Quds University. International Review of Basic and Applied Sciences, 9(4), 317–329.

18. Abdulaal, R. M. S., & Bafail, O. A. (2021). A New Slope Index for Solving NxM Flow Shop Sequencing Problems with Minimum Makespan. Transactions of FAMENA, 45(4). https://doi.org/10.21278/TOF.454032921

19. Warrad, I. O., Abdullal, R. M., & Bafail, O. A. (2021). Application of Integrated MCDM Models for Construction Contractors’ Selection at Al-Quds University. International Journal of Advanced Engineering Research and Applications, 7(6), 79-93. https://doi.org/10.46593/ijaera.2021.v07i06.002

20. Abdulaal, R. M. S., & Bafail, O. A. (2021). A Comparative Study between GLP and GBWM. Mathematical Problems in Engineering, 2021. https://doi.org/10.1155/2021/5555933

21. Bafail, O., & Abdulaal, R. M. (2021). New approach for selecting a suitable recycling collection program for recovered paper and pulp recyclables using AHP-TOPSIS techniques. Waste Management & Research, 39(11), 1406–1413. https://doi.org/10.1177/0734242X21994903

22. Runsewe, T., Bafail, O., & Celik, N. (2020). Performance analysis of waste collection programs in material recovery facilities. Proceedings of the 2020 IISE Annual Conference, 1401–1406

23. Damgacioglu, H., Hornilla, M., Bafail, O., & Celik, N. (2019). Recovering value from single stream material recovery facilities – An outbound contamination analysis in Florida. Waste Management, Volume 102, Pages 804-814. https://doi.org/10.1016/j.wasman.2019.11.020

24. Hornilla, M., Bafail, O., Damgacioglu, H., & Celik, N. (2019). Assessment and Evaluation of Outbound Contamination in Single Stream Material Recovery Facilities – A Case Study in Florida. IISE Annual Conference, Orlando, FL, May 18-21, 2019.

Projects

This project emphasizes the importance of efficient truck flow in factories, using a major sugar manufacturing facility in the Middle East as a case study. The aim was to minimize truck waiting times and maximize capacity at loading units. Data were gathered through questionnaires, observations, and stakeholder interviews. A simulation software analyzed truck activity at the factory's loading stations, while multi-criteria decision-making tools (AHP and TOPSIS) helped identify, evaluate, and rank potential solutions. The results indicated that differing use of factory loading platforms throughout the day could yield significant improvements. One alternative offered a 27.9% increase in operational efficiency, leading to cost and time savings.

Measuring and Improving Truck Traffic Flow in a Sugar Manufacturing Facility (2023)

Heating, Ventilation, and Air-Conditioning (HVAC) systems are critical components of maintaining an indoor air quality that ensures the thermal comfort of occupants in diverse building types. However, HVAC systems are also responsible for a substantial portion of the total energy consumption of commercial and industrial office buildings. This paper presents an integrated approach of two powerful MCDM techniques: the Best-Worst-Method (BWM) and The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) in order to evaluate and rank HVAC systems to ensure the best selection toward designing a sustainable office building. A set of conflicting criteria reported by international sustainable assessment centers were employed along with various HVAC systems to develop what is called herein a BWM-based TOPSIS model in order to conduct such a novel research attempt. Within the context of the investigated office building herein, the mini-package ductless system appears to be the best choice. This study could be further enhanced by including additional criteria and a larger sample size in future studies.

HVAC Systems Evaluation and Selection for Sustainable Office Buildings: An Integrated MCDM Approach (2023)

The Human Development Index (HDI) is a powerful tool that provides a comprehensive measure of a nation's overall well-being. This index was developed by the United Nations Development Programme (UNDP) in 1990 and has since become a widely used measure for assessing and comparing the standard of living of countries around the world. The HDI is composed of several key indicators that capture different aspects of human development, such as health, education, and income. Thus, a better understanding of the economic and social progress of countries can be seen through the HDI. In this study, several factors were investigated using multiple linear regression to test their relationships with the HDI. Four independent factors were significant among nine factors, as follows, skilled labor force, R&D expenditure, tourism and export & import. This study uses linear programming to figure out how much development a country needs in these areas to be number one on the HDI index, which in turn will improve the overall quality of life

Human Development Index: Determining and Ranking the Significant Factors (2023)

Application of Different Multi-Criteria Decision-Making Techniques for Contractors’ Selection for Construction of Al-Quds University Buildings (2022)

The first step to the success of any construction project is to choose the right contractor to construct the project. In this project, we have used multi-criteria decision-making models for contractor selection at Al-Quds University.

Assessment and Evaluation of Project Completion and Handover Process at Oil and Gas Company: A Case Study at Saudi ARAMCO (2022)

This project was conducted to identify the inefficiencies in the Project Mechanical Completion and Handover Process (PMCHP) in Saudi Aramco projects. Every step of the process was analyzed and discussed. The PMCHP consists of several steps, first, the acceptance committee which must be formed no later than 60% completion of the project, punch listing, reviewing, and consolidating of punch list items, chairman approval of the punch list items, completing and closing of items in the Mechanical and Performance and Close-out System and finally routing the Certificate of Mechanical Completion for approval. Recommendations are provided for each step of the process to make it more efficient.

A Combined AHP-VIKOR Approach for Contractor Selection for King Salman Park Projects (2022)

In this project, a combined MCDM technique between Analytic Hierarchy Process (AHP), Visekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) is applied for contractor selection at King Salman Park (KSP) projects. The result is very encouraging to implement the proposed strategy in selecting the contractors which can save time, and resources, and reduce a lot of useless processes which improves the entire contractor selection process.

Evaluation and Ranking of the Important Criteria for Contractor Selection Problem at Oil and Gas Organizations using the MCDM technique (2022)

The goal of this project is to propose a model framework that uses the Analytic Hierarchy Process (AHP) as an effective tool for evaluating and ranking critical criteria for contractor selection at oil and gas organizations in Saudi Arabia.

An Integrated Multi-Criteria Decision-Making for Ranking and Research Centers at King Abdulaziz University (2022)

In this project, 27 research centers were ranked using Analytic Hierarchy Process (AHP), Stepwise Weight Assessment Ratio Analysis (SWARA), and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) among other MCDM techniques. The AHP was utilized to check for consistency across expert-determined criteria weights, followed by SWARA that used to find the relative criteria weights. Lastly, the TOPSIS methodology was used to rank University Research Centers as alternatives. The Spearman’s correlation coefficient between the present rank and the suggested rank from the integrated AHP-SWARA-TOPSIS model was calculated. Based on the obtained correlation coefficients from Spearman’s technique, it is encouraging to use the proposed model as the number of centers increases. This project recommends policymakers to merge research centers with outputs that are below expectations together in order to reduce the overall costs and improve the overall performance of the centers.