7000-Page Overseas EPC Bidding Documents Analyzed at Ultra-Fast Speed with AI
Daewoo E&C Develops 'BaroDAP'
AI-Based Overseas EPC Bid Proposal Analysis System
Overview of the Oman Duqm Refinery site, which Daewoo E&C has been constructing since winning the EPC contract in 2017
Daewoo E&C announced on the 3rd that it has established an AI-based overseas EPC (Engineering, Procurement, and Construction) ITB (Invitation To Bid) unstructured data analysis system. It is expected to significantly reduce the time required to review bidding documents and minimize risks and losses that may arise from insufficient review time.
Typically, during overseas EPC project bidding, a large volume of bidding documents, reaching up to 7,000 pages, must be thoroughly reviewed within a set timeframe, requiring substantial personnel and time. Moreover, the scale of overseas EPC projects is increasing, and qualification and implementation requirements are becoming more complex, which is a recent trend.
Accordingly, Daewoo E&C collaborated with SAS Korea to build an analysis system called 'BaroDAP' starting from June last year for about eight months, utilizing SAS solutions based on artificial intelligence.
BaroDAP implements ▲data preprocessing that recognizes tables in PDF files, extracts main text, and identifies document structure to automatically separate sections by table of contents, ▲unstructured text analysis that builds a taxonomy model automatically classifying checklists by discipline fields through AI machine learning analyzing 360 million words, and ▲dashboard, analysis, and review screen visualization.
Additionally, BaroDAP automatically recognizes the structure and data of unstructured bidding documents (PDF and MS Office files) in a short time, extracts sections by table of contents, and separates each document section corresponding to thousands of category lists. Discipline-specific personnel can automatically find document sections corresponding to the required category lists, enabling easy and fast identification of client requirements and constraints. Furthermore, the progress and issues of all disciplines throughout the bidding and execution projects can be intuitively checked via the dashboard.
Daewoo E&C plans to enhance the expertise of project managers for each requirement through BaroDAP and strengthen its bidding competitiveness by databasing the know-how of specialized personnel. A Daewoo E&C official stated, "We have laid the foundation to respond to the growing scale of overseas EPC projects and to establish business execution competitiveness based on big data."
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