Feasibility of an Integrated Heuristic and Machine Learning Approach for Schedule Health Monitoring in Construction

Yoonhwa Jung, Fouad Amer, Mani Golparvar-Fard

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Project planning and controls requires planners to continuously revise project schedules to meet evolving requirements and constraints during a construction. Such an activity is usually performed under strict deadlines and planners are often forced to set aside good planning principles to deliver the updated schedules on time. To assist planners with validating their schedules, this paper explores the feasibility of using an integrated approach based on heuristics and machine learning methods to check the quality of a construction schedule. Specifically, building on the predefined rules and heuristics formulated in the Defense Contract Management Agency (DCMA)'s 14 Point Schedule Quality Assessment, this paper explores the feasibility of heuristic-based and deep learning methods to assess a project schedule health from qualitative and quantitative perspectives. Experimental results from thirty-five real-world projects are presented which demonstrate the feasibility of these underlying methods in highlighting schedule deviations from industry guidelines as well as following the best planning practices. A path forward toward a completely automated schedule health assessment system is discussed in detail.

Original languageEnglish (US)
Title of host publicationConstruction Research Congress 2022
Subtitle of host publicationProject Management and Delivery, Controls, and Design and Materials - Selected Papers from Construction Research Congress 2022
EditorsFarrokh Jazizadeh, Tripp Shealy, Michael J. Garvin
PublisherAmerican Society of Civil Engineers
Pages351-360
Number of pages10
ISBN (Electronic)9780784483978
DOIs
StatePublished - 2022
EventConstruction Research Congress 2022: Project Management and Delivery, Controls, and Design and Materials, CRC 2022 - Arlington, United States
Duration: Mar 9 2022Mar 12 2022

Publication series

NameConstruction Research Congress 2022: Project Management and Delivery, Controls, and Design and Materials - Selected Papers from Construction Research Congress 2022
Volume3-C

Conference

ConferenceConstruction Research Congress 2022: Project Management and Delivery, Controls, and Design and Materials, CRC 2022
Country/TerritoryUnited States
CityArlington
Period3/9/223/12/22

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction

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