Hybrid Methods for Selecting Precast Concrete Suppliers Based on Factory Capacity
Source abstract
Abstract
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.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Value Engineering and Management · Construction Project Management and Performance · BIM and Construction Integration
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Civil Engineering, College of Engineering, King Saud University, P.O. Box 800, Riyadh 12372, Saudi Arabia
Funding
King Saud University, Riyadh, Saudi Arabia
References (50)
Show source-provided references
1. (2025, June 23). GCC Statistical Yearbook 2023. Gulf Cooperation Council (GCC) Secretariat. Available online: https://www.gcc-sg.org/en-us/Statistics/Pages/default.aspx.
2. Preferences for housing attributes in Saudi Arabia: A comparison between consumers’ and property practitioners’ views10.1016/j.cities.2018.06.018 ↗
3. Grand, S.R., and Wolff, K. (2022). Assessing Saudi Vision 2030: A 2020 Review, Atlantic Council.
4. Religious Tourism and Its Management: The Hajj in Saudi Arabia10.1002/jtr.825 ↗
5. Modern Construction Methods (MMC) in Saudi Arabia: Evaluation Aspects and Barriers
6. Mohammed, H.A. (2023, June 14). Precast Concrete Cost Solution. Available online: https://www.researchgate.net/publication/329391473.
7. A review on precast concrete
8. Abdellatif, H., and Alshibani, A. (2019). Major factors causing delay in the delivery of manufacturing and building projects in Saudi Arabia. Buildings, 9.10.3390/buildings9040093 ↗
9. Causes and effects of delays in Saudi arAabian construction projects
10. Causes of delay in Saudi public construction projects10.1016/j.aej.2019.07.002 ↗
11. Supplier selection using SWARA and WASPAS—A case study of Indian cement industry10.1108/MBE-07-2018-0041 ↗
12. Ceramic supplier selection using analytical hierarchy process method10.12928/ijio.v2i2.4406 ↗
13. Keshavarz-Ghorabaee, M., Amiri, M., Hashemi-Tabatabaei, M., Zavadskas, E.K., and Kaklauskas, A. (2020). A new decision-making approach based on fermatean fuzzy sets and WASPAS for green construction supplier evaluation. Mathematics, 8.10.3390/math8122202 ↗
14. A combined fuzzy multicriteria decision making approach for green supplier selection in building material industry
15. Rani, P., Mishra, A.R., Krishankumar, R., Mardani, A., Cavallaro, F., Ravichandran, K.S., and Balasubramanian, K. (2020). Hesitant fuzzy SWARA-complex proportional assessment approach for sustainable supplier selection (HF-SWARA-COPRAS). Symmetry, 12.10.3390/sym12071152 ↗
16. Multicriteria Selection of the Building Material Supplier Using AHP and Fuzzy AHP10.1061/(ASCE)CO.1943-7862.0001033 ↗
17. Al-Ghamdi, M.A., and Al-Gahtani, K.S. (2022). Integrated Value Engineering and Life Cycle Cost Modeling for HVAC System Selection. Sustainability, 14.10.3390/su14042126 ↗
18. A purchasing decision: Selecting a supplier for a construction company10.1007/s11518-006-5009-3 ↗
19. A Review of Quality Criteria Supporting Supplier Selection10.1155/2013/621073 ↗
20. Proposal of a method for selecting suppliers considering risk management10.1108/IJQRM-11-2014-0172 ↗
21. Biruk, S., Jaskowski, P., and Czarnigowska, A. (2019). Fuzzy AHP for selecting suppliers of construction materials. IOP Conference Series: Materials Science and Engineering, IOP Publishing.10.1088/1757-899X/603/3/032093 ↗
22. Circular supplier selection in the construction industry: A sustainability perspective for the emerging economies
23. Supplier Selection by Using a Fuzzy Integrated Model for a Textile Company10.5755/j01.ee.30.5.20546 ↗
24. Lopes, A.P., and Rodriguez-Lopez, N. (2021). A Decision Support Tool for Supplier Evaluation and Selection. Sustainability, 13.10.3390/su132212387 ↗
25. An extended stepwise weight assessment ratio analysis (SWARA) method for improving criteria prioritization process10.1007/s00500-018-3092-2 ↗
26. Analytical hierarchy process and TOPSIS approach to perform supplier selection in construction industry
27. Selection and Application of Building Material Suppliers Based on Intuitionistic Fuzzy Analytic Hierarchy Process (IFAHP) Model10.1109/ACCESS.2020.3011946 ↗
28. Qambrani, F.U.R., and Yousfani, A.M. (2022). Quality Attributes for Supplier Selection in the Construction Industry of Pakistan: The Contractors’ Perspective. Eng. Conf., 22.10.3390/engproc2022022010 ↗
29. Selecting the reliable supplier by using the advisor agents10.1108/JBIM-01-2015-0010 ↗
30. Alsanabani, N.M., Al-Gahtani, K.S., Bin Mahmoud, A.A., and Aljadhai, S.I. (2023). Integrated Methods for Selecting Construction Foundation Type Based on Using a Value Engineering Principle. Sustainability, 15.10.3390/su15118547 ↗
31. Effects of Reactive Capacity on Product Quality and Firm Profitability in an Uncertain Market10.1287/opre.2022.2310 ↗
32. Elshafei, B., Mo, F., Chaplin, J.C., Arellano, G.M., and Ratchev, S. (2023, January 14–16). Capacity Modelling and Measurement for Smart Elastic Manufacturing Systems. Proceedings of the 2023 AeroTech, Fort Worth, TX, USA. SAE Technical Paper.10.4271/2023-01-0997 ↗
33. Evaluating supplier quality performance using fuzzy analytical hierarchy process10.1063/1.4903559 ↗
34. Supplier capacity analysis for a manufacturing firm with a case study10.1080/09537280701504657 ↗
35. Bradford, P., Koenig, T., Cordonnier, K., Buckmaster, J., Ballinger, J., Ladd, D., Gale, J., Gilstorf, A., and Honda Motor Co., Ltd (2012). Computerized Dynamic Capacity Management System and Method. (Application 13/205), U.S. Patent.
36. Tu, J.F., and Liu, K. (2011). Order Allocation Based on Supplier Capacity-Load Balance. 2011 International Conference on Computer Science and Service System (CSSS), IEEE.
37. Design of products with both international and local perspectives based on Yin-Yang balance theory and SWARA method
38. A framework for the selection of a packaging design based on the SWARA method10.5755/j01.ee.26.2.8820 ↗
39. Alinezhad, A., and Khalili, J. (2023, May 15). International Series in Operations Research & Management Science New Methods and Applications in Multiple Attribute Decision Making (MADM). Available online: http://www.springer.com/series/6161.
40. A novel construction cost prediction model using hybrid natural and light gradient boosting10.1016/j.aei.2020.101201 ↗
41. Multi-criteria food waste treatment method selection using single-valued neutrosophic-CRITIC-MULTIMOORA framework10.1016/j.asoc.2021.107657 ↗
42. An integrated fuzzy MCGDM approach for supplier selection problem10.3846/13923730.2017.1343201 ↗
43. Tomczak, M., Biruk, S., and Jaskowski, P. (2019). Selection of Construction Products Suppliers According to the Condorcet Criterion. IOP Conference Series: Materials Science and Engineering, IOP Publishing.10.1088/1757-899X/471/11/112068 ↗
44. Supplier selection in closed loop supply chain by an integrated simulation-Taguchi-DEA approach10.1108/JEIM-09-2014-0089 ↗
45. Multi-criteria supplier selection using fuzzy analytic hierarchy process: Case study from a Brazilian railway operator10.14488/BJOPM.2017.v14.n3.a15 ↗
46. Factor Analysis as a Tool for Survey Analysis10.12691/ajams-9-1-2 ↗
47. Analysis of factors influencing project cost estimating practice10.1080/014461900370979 ↗
48. How does performance history impact supplier selection in public sector?10.1108/IMDS-07-2014-0222 ↗
49. Supplier selection considering product structure and product life cycle cost10.1108/IJQRM-05-2015-0069 ↗
50. Structuring a model for supplier selection10.1108/MRR-04-2014-0076 ↗