Exploring fuzzy AHP approaches for quality management control practices in public building construction projects

Autor: Girmay Getawa Ayalew, Lidiya Admasu Alemneh, Genet Melkamu Ayalew
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Cogent Engineering, Vol 11, Iss 1 (2024)
Druh dokumentu: article
ISSN: 23311916
2331-1916
DOI: 10.1080/23311916.2024.2326765
Popis: AbstractThe construction industry has a significant multiplier effect on the economy as a whole. It provides the basis upon which other sectors can grow by constructing the physical facilities required for the production and distribution of goods and services. Building construction projects is one of the major development constraints in developing countries since their development highly depends on the growth of their physical infrastructures. Developing countries allocate a considerable amount of their scarce financial resources towards the development of their infrastructure needs. However, most of these infrastructure projects in developing countries encounter considerable quality management controlling problems, especially in public building construction projects. These results in decreasing customer satisfaction, lower productivity, and decreased service delivery times. Thus, the study focuses on exploring fuzzy AHP approaches for quality management control practices in public building construction projects. The data analysis for this study was carried out by using fuzzy AHP methods. This method is used to determine the preference weights of the input variables and for ranking. To achieve the objective, the data were collected from primary and secondary sources. Microsoft Excel was used as an analysis tool. The study revealed that quality management plans and quality management control tools are identified as mostly practiced quality management control systems in public building construction projects. Finally, it can be recommended that the project participants implement and communicate the organization’s mission, vision, strategy, policies, and processes throughout the organization to enhance the productivity of the projects.
Databáze: Directory of Open Access Journals
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