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A Framework for Automated Quantity Extraction from .ifc Models and Normalized Bid Comparison
Accurate bid comparison remains a major challenge in construction tendering due to differences in Bill of Quantities formats, item naming conventions, and pricing methods across contractor submissions. These variations require time-consuming manual work and often lead to subjective decisions. This r...
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| Format: | Thesis |
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AUC Knowledge Fountain
2026
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| _version_ | 1867613434403618816 |
|---|---|
| access_status_str | Open Access |
| author | Farouk, Asmaa Mohamed |
| author_browse | Farouk, Asmaa Mohamed |
| author_facet | Farouk, Asmaa Mohamed |
| author_sort | Farouk, Asmaa Mohamed |
| collection | Thesis |
| description | Accurate bid comparison remains a major challenge in construction tendering due to
differences in Bill of Quantities formats, item naming conventions, and pricing methods across
contractor submissions. These variations require time-consuming manual work and often lead to
subjective decisions. This research presents a computational framework that uses Building
Information Modeling through the .ifc file format, combined with text analysis techniques for
automated bid normalization.
The developed system uses a dual-component approach. Phase 1 extracts quantities from .ifc
model files using 3D geometric calculations, automated element classification. Phase 2 uses text
mining with a domain-specific dictionary of construction terms to interpret different contractor
submissions, match items across BOQs, and classify line items as explicitly priced, bundled within
other items, or absent. A proportional redistribution algorithm ensures that the total bid value
stays consistent when adding values for bundled items.
Testing against reference data from Revit schedules shows that the developed tool achieves
100% accuracy in element counting, significantly outperforming AI-based approaches which
achieved only 35-65% accuracy. The framework generates standardized comparison sheets that
allow objective evaluation of cost distribution, scope coverage, and pricing consistency across
submissions. Results show major reduction in manual work while improving transparency in the
tender evaluation process. |
| format | Thesis |
| id | oai:fount.aucegypt.edu:etds-3872 |
| institution | American University in Cairo (Egypt) |
| last_indexed | 2026-06-10T12:36:04.810Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from AUC Knowledge Fountain — bepress |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | AUC Knowledge Fountain |
| publisherStr | AUC Knowledge Fountain |
| record_format | dspace |
| source_str | AUC Knowledge Fountain — bepress |
| spelling | oai:fount.aucegypt.edu:etds-3872 A Framework for Automated Quantity Extraction from .ifc Models and Normalized Bid Comparison Farouk, Asmaa Mohamed Accurate bid comparison remains a major challenge in construction tendering due to differences in Bill of Quantities formats, item naming conventions, and pricing methods across contractor submissions. These variations require time-consuming manual work and often lead to subjective decisions. This research presents a computational framework that uses Building Information Modeling through the .ifc file format, combined with text analysis techniques for automated bid normalization. The developed system uses a dual-component approach. Phase 1 extracts quantities from .ifc model files using 3D geometric calculations, automated element classification. Phase 2 uses text mining with a domain-specific dictionary of construction terms to interpret different contractor submissions, match items across BOQs, and classify line items as explicitly priced, bundled within other items, or absent. A proportional redistribution algorithm ensures that the total bid value stays consistent when adding values for bundled items. Testing against reference data from Revit schedules shows that the developed tool achieves 100% accuracy in element counting, significantly outperforming AI-based approaches which achieved only 35-65% accuracy. The framework generates standardized comparison sheets that allow objective evaluation of cost distribution, scope coverage, and pricing consistency across submissions. Results show major reduction in manual work while improving transparency in the tender evaluation process. 2026-09-01T07:00:00Z thesis application/pdf https://fount.aucegypt.edu/etds/2807 https://fount.aucegypt.edu/context/etds/article/3872/viewcontent/Asmaa_Farouk_Thesis.pdf Theses and Dissertations AUC Knowledge Fountain Building Information Modeling .ifc File Format Automated Quantity Extraction Bill of Quantities Tender Evaluation Cost Normalization Construction Procurement. Construction Engineering and Management Other Civil and Environmental Engineering |
| spellingShingle | Building Information Modeling .ifc File Format Automated Quantity Extraction Bill of Quantities Tender Evaluation Cost Normalization Construction Procurement. Construction Engineering and Management Other Civil and Environmental Engineering Farouk, Asmaa Mohamed A Framework for Automated Quantity Extraction from .ifc Models and Normalized Bid Comparison |
| title | A Framework for Automated Quantity Extraction from .ifc Models and Normalized Bid Comparison |
| title_full | A Framework for Automated Quantity Extraction from .ifc Models and Normalized Bid Comparison |
| title_fullStr | A Framework for Automated Quantity Extraction from .ifc Models and Normalized Bid Comparison |
| title_full_unstemmed | A Framework for Automated Quantity Extraction from .ifc Models and Normalized Bid Comparison |
| title_short | A Framework for Automated Quantity Extraction from .ifc Models and Normalized Bid Comparison |
| title_sort | framework for automated quantity extraction from ifc models and normalized bid comparison |
| topic | Building Information Modeling .ifc File Format Automated Quantity Extraction Bill of Quantities Tender Evaluation Cost Normalization Construction Procurement. Construction Engineering and Management Other Civil and Environmental Engineering |
| url | https://fount.aucegypt.edu/etds/2807 https://fount.aucegypt.edu/context/etds/article/3872/viewcontent/Asmaa_Farouk_Thesis.pdf |
| work_keys_str_mv | AT faroukasmaamohamed aframeworkforautomatedquantityextractionfromifcmodelsandnormalizedbidcomparison AT faroukasmaamohamed frameworkforautomatedquantityextractionfromifcmodelsandnormalizedbidcomparison |