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Opportunities for Artificial Intelligence, Machine Learning, and Data Science in Advanced Work Packaging

Publication No
FR-391
Type
Research & Development Product
Publication Date
Dec 01, 2023
Pages
78
Research Team
RT-391
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DOCUMENT DETAILS
Abstract
Filters & Tags
Abstract

Identifies, characterizes, and ranks opportunities for the application of artificial intelligence (AI), machine learning (ML), and data analytics to the AWP workflow. Refers to the application of these technologies in AWP as intelligent AWP, or “iAWP.”
Filters & Tags
Knowledge Area
Construction Technology, Information Management Technology, Project & Program Management
Best Practice
Advanced Work Packaging
Project Phase
Feasibility, Concept, Detailed Scope, Detailed Design (Engineering), Procurement, Construction, Commissioning & Startup, Handover & Closeout
Project Function
Project Management, Architects & Engineering, Project Controls, Procurement & Contracts, Construction, Commissioning & Startup, Health, Safety & Environmental, Risk Management, Quality Management
Industry Group
Light Industrial, Heavy Industrial, Buildings, Infrastructure
Research Topic
Defining Opportunities to Leverage Artificial Intelligence, Machine Learning, and Data Analytics Applications for AWP
Keywords
Advanced Work Packaging, AWP, integrated materials management, constraint management, project progress management, data analytics, project execution, artificial intelligence, path of construction, workface planning, key performance indicators, installation work packages, digital transformation, machine learning, data management, digital threads, rt391

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