An integrated approach for progress tracking in liquefied natural gas construction

Jun Wang, Wenchi Shou, Xiangyu Wang, Hung-lin Chi

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review


Progress tracking is an essential management function for successful delivery of Liquefied Natural Gas (LNG) projects. It relies on accurate and prompt data collection from construction sites and project participants, which is then used to early detect actual or potential schedule delay. Currently, many Information Technology (IT)-supported methods have been implemented to improve progress tracking. However, none of them has been able to deliver satisfactory and reliable information. This paper aims to develop an integrated approach for construction progress tracking by integrating laser scanning, Building Information Modeling, mobile computing and Radio Frequency Identification. The approach consists of three modules: milestone progress tracking, onsite activity/Task progress tracking, and supply chain tracking. Finally, a pilot LNG project was selected to validate this approach.
Original languageEnglish
Title of host publicationCooperative Design, Visualization, and Engineering - 12th International Conference, CDVE 2015, Proceedings
PublisherSpringer Verlag
Number of pages9
ISBN (Print)9783319241319
Publication statusPublished - 1 Jan 2015
Externally publishedYes
Event12th International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2015 - Mallorca, Spain
Duration: 20 Sep 201523 Sep 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference12th International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2015


  • Building information modeling
  • Cooperative visualization
  • Information integration
  • Progress tracking

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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