Waste elimination of mucking process of a petroleum storage tunnel through the value stream analysis

Seokjin Choi, Tae H. Ku, Dong H. Yeo, Seung H. Han

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

6 Citations (Scopus)

Abstract

Construction firms are getting smarter and more effective by significantly improving their performance level at the job site. Particularly, cycle time which represents the time needed to complete one set of operation has been an important measure of productivity. In this study, cycle time of a petroleum storage tunnel which has many reiterative operations is investigated. With the aid of value stream analysis based on flow process chart, non-value adding activities of mucking-focused process are identified. Value stream mapping is then applied to simplify the current process as well as to remove crucial wastes of the process. Finally, this study suggests a scheme to improve the mucking process, which ultimately shows that applying the 'to-be' mode to the real site can improve the cost and average effectiveness by 9.6% and 17.7%, respectively.

Original languageEnglish
Title of host publicationProceedings of IGLC16
Subtitle of host publication16th Annual Conference of the International Group for Lean Construction
Pages155-167
Number of pages13
Publication statusPublished - 2008
Event16th Annual Conference of the International Group for Lean Construction, IGLC16 - Manchester, United Kingdom
Duration: 2008 Jul 162008 Jul 18

Publication series

NameProceedings of IGLC16: 16th Annual Conference of the International Group for Lean Construction

Other

Other16th Annual Conference of the International Group for Lean Construction, IGLC16
Country/TerritoryUnited Kingdom
CityManchester
Period08/7/1608/7/18

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Building and Construction
  • Architecture

Fingerprint

Dive into the research topics of 'Waste elimination of mucking process of a petroleum storage tunnel through the value stream analysis'. Together they form a unique fingerprint.

Cite this