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Automated methods and systems for construction planning and scheduling: Critical review of three decades of research
Over the last 3 decades, a large body of research focused on automated construction
planning and scheduling. Some of these efforts introduced methods to use design …
planning and scheduling. Some of these efforts introduced methods to use design …
Transformer machine learning language model for auto-alignment of long-term and short-term plans in construction
In construction, master schedules and look-ahead plans are created at different times
(monthly vs. weekly), by different personas (planner vs. superintendent), with different …
(monthly vs. weekly), by different personas (planner vs. superintendent), with different …
Construction schedule augmentation with implicit dependency constraints and automated generation of lookahead plan revisions
Revising lookahead plans is practiced in all construction projects to meet contractual
deadlines, mitigate activity delays, and disentangle process bottlenecks. We present a new …
deadlines, mitigate activity delays, and disentangle process bottlenecks. We present a new …
From NLP to taxonomy: identifying and classifying key functionality concepts of multi-level project planning and control systems
Abstract Analysis of literature and industry practices in applied planning and control systems
reveals a notable lack of effective processes and stakeholders' understanding regarding the …
reveals a notable lack of effective processes and stakeholders' understanding regarding the …
Modeling dynamic construction work template from existing scheduling records via sequential machine learning
Today, construction planning and scheduling is almost always performed manually, by
experienced practitioners. The knowledge of those individuals is materialized, maintained …
experienced practitioners. The knowledge of those individuals is materialized, maintained …
Learning and critiquing pairwise activity relationships for schedule quality control via deep learning-based natural language processing
In construction, schedule mistakes causing delays beyond substantial completion dates cost
contractors expensive liquidated damages. Hence, several industry guidelines, such as the …
contractors expensive liquidated damages. Hence, several industry guidelines, such as the …
An automated machine learning approach for classifying infrastructure cost data
Data on infrastructure project costs are often unstructured and lack consistency. To enable
costs to be compared within and between organizations, large amounts of data must be …
costs to be compared within and between organizations, large amounts of data must be …
[PDF][PDF] EXPLORING THE USE OF NLP TO AUTO-ALIGN MASTER SCHEDULES WITH SUPERINTENDENT'S LOOK-AHEADS IN CONSTRUCTION PROJECTS
In construction, there has always been a painful disconnect in reconciling parameters set in
the master plan to what is actually happening in real-time on a project against the …
the master plan to what is actually happening in real-time on a project against the …
Schedule-driven analytics of 3D point clouds for automated construction progress monitoring
Timely progress update in the project schedule is essential for managing the critical path
and expected project completion date. With the advent of AI-powered construction progress …
and expected project completion date. With the advent of AI-powered construction progress …
Automating lookahead planning using site appearance and space utilization
This study proposes a method to automate the development of lookahead planning. The
proposed method uses construction material conditions (ie, appearances) and site space …
proposed method uses construction material conditions (ie, appearances) and site space …