Hybrid Methods for Selecting Precast Concrete Suppliers Based on Factory Capacity
Supplier selection is one of the critical processes that entail multiple complex deliberations. The selection of an appropriate alternative supplier is a highly intricate process, primarily due to there being multiple criteria which are exceptionally subjective. This paper aims to develop a practica...
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| Language: | English |
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MDPI AG
2025-07-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/14/8027 |
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| author | Mohammed I. Aldokhi Khalid S. Al-Gahtani Naif M. Alsanabani Saad I. Aljadhai |
| author_facet | Mohammed I. Aldokhi Khalid S. Al-Gahtani Naif M. Alsanabani Saad I. Aljadhai |
| author_sort | Mohammed I. Aldokhi |
| collection | DOAJ |
| description | Supplier selection is one of the critical processes that entail multiple complex deliberations. The selection of an appropriate alternative supplier is a highly intricate process, primarily due to there being multiple criteria which are exceptionally subjective. This paper aims to develop a practical framework for choosing a suitable precast supplier by integrating the Value Engineering (VE) concept, Stepwise Weight Assessment Ratio Analysis (SWARA), and the Weighted Aggregated Sum Product Assessment (WASPAS) technique. This paper introduces a novel method to estimate the quality weights of alternative suppliers’ criteria (CQW) by linking factory capacity with the coefficients of the nine significant criteria, computed using principal component analysis (PCA). None of the formal studies make this link directly. The framework’s findings were validated by comparing its results with an expert assessment of five Saudi supplier alternatives. The results revealed that the framework’s results agree with the expert’s judgment. The method of payment criterion received the highest weight, indicating that it was considered the most important of the nine criteria identified. Combining PCA and VE with the WASPAS technique resulted in an unprecedentedly effective selection tool for precast suppliers. |
| format | Article |
| id | doaj-art-8267cd58fda94e019db0c34f4134e8d1 |
| institution | DOAJ |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-8267cd58fda94e019db0c34f4134e8d12025-08-20T02:45:37ZengMDPI AGApplied Sciences2076-34172025-07-011514802710.3390/app15148027Hybrid Methods for Selecting Precast Concrete Suppliers Based on Factory CapacityMohammed I. Aldokhi0Khalid S. Al-Gahtani1Naif M. Alsanabani2Saad I. Aljadhai3Department of Civil Engineering, College of Engineering, King Saud University, P.O. Box 800, Riyadh 12372, Saudi ArabiaDepartment of Civil Engineering, College of Engineering, King Saud University, P.O. Box 800, Riyadh 12372, Saudi ArabiaDepartment of Civil Engineering, College of Engineering, King Saud University, P.O. Box 800, Riyadh 12372, Saudi ArabiaDepartment of Civil Engineering, College of Engineering, King Saud University, P.O. Box 800, Riyadh 12372, Saudi ArabiaSupplier selection is one of the critical processes that entail multiple complex deliberations. The selection of an appropriate alternative supplier is a highly intricate process, primarily due to there being multiple criteria which are exceptionally subjective. This paper aims to develop a practical framework for choosing a suitable precast supplier by integrating the Value Engineering (VE) concept, Stepwise Weight Assessment Ratio Analysis (SWARA), and the Weighted Aggregated Sum Product Assessment (WASPAS) technique. This paper introduces a novel method to estimate the quality weights of alternative suppliers’ criteria (CQW) by linking factory capacity with the coefficients of the nine significant criteria, computed using principal component analysis (PCA). None of the formal studies make this link directly. The framework’s findings were validated by comparing its results with an expert assessment of five Saudi supplier alternatives. The results revealed that the framework’s results agree with the expert’s judgment. The method of payment criterion received the highest weight, indicating that it was considered the most important of the nine criteria identified. Combining PCA and VE with the WASPAS technique resulted in an unprecedentedly effective selection tool for precast suppliers.https://www.mdpi.com/2076-3417/15/14/8027precastconcretesupplierqualitySWARAPCA |
| spellingShingle | Mohammed I. Aldokhi Khalid S. Al-Gahtani Naif M. Alsanabani Saad I. Aljadhai Hybrid Methods for Selecting Precast Concrete Suppliers Based on Factory Capacity Applied Sciences precast concrete supplier quality SWARA PCA |
| title | Hybrid Methods for Selecting Precast Concrete Suppliers Based on Factory Capacity |
| title_full | Hybrid Methods for Selecting Precast Concrete Suppliers Based on Factory Capacity |
| title_fullStr | Hybrid Methods for Selecting Precast Concrete Suppliers Based on Factory Capacity |
| title_full_unstemmed | Hybrid Methods for Selecting Precast Concrete Suppliers Based on Factory Capacity |
| title_short | Hybrid Methods for Selecting Precast Concrete Suppliers Based on Factory Capacity |
| title_sort | hybrid methods for selecting precast concrete suppliers based on factory capacity |
| topic | precast concrete supplier quality SWARA PCA |
| url | https://www.mdpi.com/2076-3417/15/14/8027 |
| work_keys_str_mv | AT mohammedialdokhi hybridmethodsforselectingprecastconcretesuppliersbasedonfactorycapacity AT khalidsalgahtani hybridmethodsforselectingprecastconcretesuppliersbasedonfactorycapacity AT naifmalsanabani hybridmethodsforselectingprecastconcretesuppliersbasedonfactorycapacity AT saadialjadhai hybridmethodsforselectingprecastconcretesuppliersbasedonfactorycapacity |