Web-Based Architecture for Automating Quantity Surveying Construction Cost Calculation
Quantity Surveying (QS) is a process concerned with controlling and managing the costs of construction projects. QS Measurement relies on sophisticated measurement rules that are understood by experienced practitioners. Traditional QS systems, such as standard paperwork, are time-consuming and only...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-06-01
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| Series: | Infrastructures |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2412-3811/5/6/45 |
| _version_ | 1797566368201048064 |
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| author | Jabar H. Yousif Saif N. Abdul Majeed Fouad J. I. Al Azzawi |
| author_facet | Jabar H. Yousif Saif N. Abdul Majeed Fouad J. I. Al Azzawi |
| author_sort | Jabar H. Yousif |
| collection | DOAJ |
| description | Quantity Surveying (QS) is a process concerned with controlling and managing the costs of construction projects. QS Measurement relies on sophisticated measurement rules that are understood by experienced practitioners. Traditional QS systems, such as standard paperwork, are time-consuming and only approximate the cost estimate. This paper aims to design and deploy a web-based framework for automating the cost estimation of concrete construction, using ASP.NET. It introduces a user-friendly interface, which ensures that the work is completed in the chronological order of the construction phases. The proposed QS framework offers a reliable and time-efficient estimation method, in comparison to other methods (i.e., human labor using paper or Excel), which was tested using real data and was validated by experts and consultant companies. Furthermore, it automated the reading of project information from construction maps, which reduced errors when estimating costs. It could also automatically determine the project location using Google Maps and could quickly guide the user to the location. The proposed QS framework automated the manual and Excel work of cost computing with an accuracy of 99%, reducing human calculation errors. It also effectively reduced the calculation time to only three days (compared to 114 days of manual work or 19 days of Excel work). The comparison result of the Quantity Surveyor’s average paid salary indicated that using web-based QS framework helps in reducing the cost estimation time and labor costs. |
| first_indexed | 2024-03-10T19:26:46Z |
| format | Article |
| id | doaj.art-7666bbf3344d4c6093416031a409dd22 |
| institution | Directory Open Access Journal |
| issn | 2412-3811 |
| language | English |
| last_indexed | 2024-03-10T19:26:46Z |
| publishDate | 2020-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Infrastructures |
| spelling | doaj.art-7666bbf3344d4c6093416031a409dd222023-11-20T02:31:25ZengMDPI AGInfrastructures2412-38112020-06-01564510.3390/infrastructures5060045Web-Based Architecture for Automating Quantity Surveying Construction Cost CalculationJabar H. Yousif0Saif N. Abdul Majeed1Fouad J. I. Al Azzawi2Faculty of Computing and Information Technology, Sohar University, P.O. Box 44, Sohar PCI 311, OmanFaculty of Computing and Information Technology, Sohar University, P.O. Box 44, Sohar PCI 311, OmanDepartment of Computer Engineering, Al-Rafidain University College, P.O. Box 46036 Baghdad, IraqQuantity Surveying (QS) is a process concerned with controlling and managing the costs of construction projects. QS Measurement relies on sophisticated measurement rules that are understood by experienced practitioners. Traditional QS systems, such as standard paperwork, are time-consuming and only approximate the cost estimate. This paper aims to design and deploy a web-based framework for automating the cost estimation of concrete construction, using ASP.NET. It introduces a user-friendly interface, which ensures that the work is completed in the chronological order of the construction phases. The proposed QS framework offers a reliable and time-efficient estimation method, in comparison to other methods (i.e., human labor using paper or Excel), which was tested using real data and was validated by experts and consultant companies. Furthermore, it automated the reading of project information from construction maps, which reduced errors when estimating costs. It could also automatically determine the project location using Google Maps and could quickly guide the user to the location. The proposed QS framework automated the manual and Excel work of cost computing with an accuracy of 99%, reducing human calculation errors. It also effectively reduced the calculation time to only three days (compared to 114 days of manual work or 19 days of Excel work). The comparison result of the Quantity Surveyor’s average paid salary indicated that using web-based QS framework helps in reducing the cost estimation time and labor costs.https://www.mdpi.com/2412-3811/5/6/45automation modelsBIMproject cost estimatingQuantity Surveyorstructure concrete infrastructureweb-based framework |
| spellingShingle | Jabar H. Yousif Saif N. Abdul Majeed Fouad J. I. Al Azzawi Web-Based Architecture for Automating Quantity Surveying Construction Cost Calculation Infrastructures automation models BIM project cost estimating Quantity Surveyor structure concrete infrastructure web-based framework |
| title | Web-Based Architecture for Automating Quantity Surveying Construction Cost Calculation |
| title_full | Web-Based Architecture for Automating Quantity Surveying Construction Cost Calculation |
| title_fullStr | Web-Based Architecture for Automating Quantity Surveying Construction Cost Calculation |
| title_full_unstemmed | Web-Based Architecture for Automating Quantity Surveying Construction Cost Calculation |
| title_short | Web-Based Architecture for Automating Quantity Surveying Construction Cost Calculation |
| title_sort | web based architecture for automating quantity surveying construction cost calculation |
| topic | automation models BIM project cost estimating Quantity Surveyor structure concrete infrastructure web-based framework |
| url | https://www.mdpi.com/2412-3811/5/6/45 |
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