Abstract
The civil construction industry is diverse as it includes various clients like property builders, property engineers, material providers, and contractual workers. The construction industry brings cost-viable building improvements wherein every one of these clients has a dynamic role to make the contract and project a success. The construction industry plays an important role in the infrastructure and economy of a country as well as the livelihood of people. Most infrastructure projects throughout the civil engineering industry, are struggling with cost and schedule overrun which can be caused by various internal and external factors. This paper aims to determine the possibilities of using agile methodologies in the design phase of a civil engineering project to mitigate cost and schedule overrun and to improve the delivery of the design phase. A systematic literature review was conducted using nine electronic databases, which produced 2440 articles. After conducting the systematic literature review, 22 articles were used for synthesis and analysis. The results of the research identified four challenges faced in the design phase, which included schedule and cost overrun; construction waste management; design performance; and project management. The results obtained indicated that agile methodologies can improve delivery in the design stage of a project.
Original language | English |
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Pages (from-to) | 1430-1442 |
Number of pages | 13 |
Journal | Proceedings of the International Conference on Industrial Engineering and Operations Management |
Volume | 2018 |
Issue number | NOV |
Publication status | Published - 2018 |
Event | Proceedings of the International Conference on Industrial Engineering and Operations Management Pretoria, IEOM 2018 - Duration: 29 Oct 2018 → 1 Nov 2018 |
Keywords
- Agile methodology
- Construction projects
- Design phase
- Improve the delivery
ASJC Scopus subject areas
- Strategy and Management
- Management Science and Operations Research
- Control and Systems Engineering
- Industrial and Manufacturing Engineering