Automated methods and systems for construction planning and scheduling: Critical review of three decades of research

F Amer, HY Koh, M Golparvar-Fard - Journal of Construction …, 2021 - ascelibrary.org
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 …

Transformer machine learning language model for auto-alignment of long-term and short-term plans in construction

F Amer, Y Jung, M Golparvar-Fard - Automation in Construction, 2021 - Elsevier
In construction, master schedules and look-ahead plans are created at different times
(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

F Amer, Y Jung, M Golparvar-Fard - Automation in Construction, 2023 - Elsevier
Revising lookahead plans is practiced in all construction projects to meet contractual
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

M Sheikhkhoshkar, HB El Haouzi… - Electronic Journal of …, 2024 - research.tees.ac.uk
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 …

Modeling dynamic construction work template from existing scheduling records via sequential machine learning

F Amer, M Golparvar-Fard - Advanced Engineering Informatics, 2021 - Elsevier
Today, construction planning and scheduling is almost always performed manually, by
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

F Amer, J Hockenmaier, M Golparvar-Fard - Automation in Construction, 2022 - Elsevier
In construction, schedule mistakes causing delays beyond substantial completion dates cost
contractors expensive liquidated damages. Hence, several industry guidelines, such as the …

An automated machine learning approach for classifying infrastructure cost data

DA Dopazo, L Mahdjoubi, B Gething… - … ‐Aided Civil and …, 2024 - Wiley Online Library
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 …

[PDF][PDF] EXPLORING THE USE OF NLP TO AUTO-ALIGN MASTER SCHEDULES WITH SUPERINTENDENT'S LOOK-AHEADS IN CONSTRUCTION PROJECTS

Y Jung, M Golparvar-Fard - Proceedings of International Structural …, 2023 - researchgate.net
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 …

Schedule-driven analytics of 3D point clouds for automated construction progress monitoring

A Pal, JJ Lin, SH Hsieh - Computing in Civil Engineering 2023, 2023 - ascelibrary.org
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 …

Automating lookahead planning using site appearance and space utilization

E Mengiste, BG de Soto, T Hartmann - arxiv preprint arxiv:2311.18361, 2023 - arxiv.org
This study proposes a method to automate the development of lookahead planning. The
proposed method uses construction material conditions (ie, appearances) and site space …