Developing A Mathematical Model for Planning Repetitive Construction Projects By Using Support Vector Machine Technique

Abbas M. Burhan; Kadhim Raheim Erzaij; Wadhah Amer Hatem

doi:DOI: 10.2478/cee-2021-0039

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Publication Date

Wed Dec 01 2021

Journal Name

Civil And Environmental Engineering

Volume

17

DOI

DOI: 10.2478/cee-2021-0039

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Developing A Mathematical Model for Planning Repetitive Construction Projects By Using Support Vector Machine Technique

Abbas M. Burhan

Kadhim Raheim Erzaij

Wadhah Amer Hatem

...Show More Authors

AbstractEach project management system aims to complete the project within its identified objectives: budget, time, and quality. It is achieving the project within the defined deadline that required careful scheduling, that be attained early. Due to the nature of unique repetitive construction projects, time contingency and project uncertainty are necessary for accurate scheduling. It should be integrated and flexible to accommodate the changes without adversely affecting the construction project’s total completion time. Repetitive planning and scheduling methods are more effective and essential. However, they need continuous development because of the evolution of execution methods, essentially based on the repetitive construction projects’ composition of identical production units. This study develops a mathematical model to forecast repetitive construction projects using the Support Vector Machine (SVM) technique. The software (WEKA 3.9.1©2016) has been used in the process of developing the mathematical model. The number of factors affecting the planning and scheduling of the repetitive projects has been identified through a questionnaire that analyzed its results using SPSS V22 software. Three accuracy measurements, correlation coefficient (R), Root Mean Square Error (RMSE) and Mean Absolute Error (MAE), were used to check the mathematical model and to compare the actual values with predicted values. The results showed that the SVM technique was more precise than those calculated by the conventional methods and was found the best generalization with R 97 %, MAE 3.6 %, and RMSE 7 %.

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Publication Date

Thu Jan 01 2026

Journal Name

Chalcogenide Letters

Structural and Optical Properties of Cu2ZnSn(S1−xSex)4 Nanostructures Thin Film for Photovoltaic Applications

Cu2 ZnSn(S1−x Se x)4 thin film

energy gap

dielectric constant

extinction coefficient

refractive index

Bushra A.

Ameer J.

Ahmad A.

Yasser A.

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Copper zinc tin sulfide selenide, Cu2 ZnSn(S1−x Se x)4 , absorbers are promising earth-abundant and environmentally benign materials for low-cost photovoltaic applications. This study investigates the structural and optical properties of Cu 2 ZnSn(S1−x Se x)4 nanostructured thin films prepared by pulsed laser deposition using melt-quenched targets with selenium compositions x = 0.0–1.0. X-ray diffraction revealed that films with low selenium content remained amorphous, whereas higher selenium incorporation promoted the formation of polycrystalline kesterite–stannite phases with preferred orientations along (112), (200), (220), and (312). The crystallite size increased from 12.3 to 17.9 nm as selenium reached x = 1.0, indicating enha

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