Increasing Construction Project Management Quality by Applying Data-Driven Construction Tools to Manage the Triple Constraints
Aliheidarloo, Atoosa (2020)
Aliheidarloo, Atoosa
2020
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-202101141257
https://urn.fi/URN:NBN:fi:amk-202101141257
Tiivistelmä
The construction industry, like other industries, is affected by technology in order to hand over the deliverables with expected quality. In construction, the quality of performance is highly demanded the completion of a project within the budget, scope in a certain period, which are known as the triple constrains. Controlling the constrains is a challenge for project management, and project managers always look for solutions to overcome the barriers. The capabilities of using data during the life-cycle of a project are not a new notion; however, take advantage of technology to conduct and apply data sufficiently to increase project management quality is controversial. Nowadays, by perceiving the importance of data, the construction projects are seeking Data-centered techniques to complete the tasks efficiently. The contribution of the IT tools in the construction industry to discover practical solutions is undeniable. IT offers various solutions, tools, and techniques to assist the construction industry in increasing the quality of performance.
This paper focuses on the transformation of data from the development to construction phase and defines the culture of Data-Driven Construction and the impact of the application of the available data-driven tools to control project management constraints. Also, several cases are studied to evaluate and identify the best available tools to practice project management.
Keywords: Data-Driven Construction, IT, Construction Management, Triple Constrains
This paper focuses on the transformation of data from the development to construction phase and defines the culture of Data-Driven Construction and the impact of the application of the available data-driven tools to control project management constraints. Also, several cases are studied to evaluate and identify the best available tools to practice project management.
Keywords: Data-Driven Construction, IT, Construction Management, Triple Constrains