Predictive Approach of Cost and Time Optimization for Enhancing Scaffold Management through AWP
| International Journal of Civil Engineering |
| © 2026 by SSRG - IJCE Journal |
| Volume 13 Issue 3 |
| Year of Publication : 2026 |
| Authors : Hamza Aamir, Muhammad Raza Ul Mustafa, Wesam Salah Alaloul, Salmaliza Bt Salleh, Socheatra Soeung, Muhammad Ali Musarat |
10.14445/23488352/IJCE-V13I3P112
How to Cite?
Hamza Aamir, Muhammad Raza Ul Mustafa, Wesam Salah Alaloul, Salmaliza Bt Salleh, Socheatra Soeung, Muhammad Ali Musarat, "Predictive Approach of Cost and Time Optimization for Enhancing Scaffold Management through AWP," SSRG International Journal of Civil Engineering, vol. 13, no. 3, pp. 173-188, 2026. Crossref, https://doi.org/10.14445/23488352/IJCE-V13I3P112
Abstract:
Scaffolding in the oil and gas sector is a very important operation, but its operations are mostly influenced by some inefficiencies that add cost and project time. The systematic methods aimed at enhancing planning and implementation are increasingly in demand. This paper examines how Advanced Work Packaging (AWP) can be implemented in scaffold management to streamline the cost and time performance. Multi-Expression Programming X (MEPx) was used to estimate Adjusted Scaffolding Cost (AC) and Adjusted Scaffolding Hours (AH) as affected by Unit Rate (UR), Quantities (Q), Weather Impact (WI), Equipment Downtime (EQ), and Labour Fatigue (LF). The models were tested by standard training, testing, and validation. The outcomes demonstrated a moderate accuracy in terms of cost prediction with Mean Absolute Error (MAE) = 5.85; Root Mean Square Error (RMSE) = 7.93; coefficient of determination (R2) = 0.76, and a greater reliability in terms of time prediction with MAE = 0.49; RMSE = 1.02; R2 = 0.86. The results show that data-driven predictive modeling, applied in conjunction with AWP principles, would provide a more realistic and data-driven approach to decision-making, resulting in more effective scaffold management in oil and gas projects.
Keywords:
Advanced Work Packaging, Multi Expression Programming, Multi Expression Programming X, Optimization.
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