Journal of Risk Analysis and Crisis Response

Volume 2, Issue 4, December 2012, Pages 252 - 260

Stochastic Look-ahead Scheduling Method for Linear Construction Projects

Authors
Lingguang Song, Sang-Hoon Lee, Fitria H. Rachmat
Corresponding Author
Lingguang Song
Received 16 March 2012, Accepted 16 September 2012, Available Online 1 December 2012.
DOI
10.2991/jrarc.2012.2.4.4How to use a DOI?
Keywords
linear construction projects, linear scheduling, simulation, pipeline construction.
Abstract

Many construction projects involve repetitive operations that are exposed to various constraints and uncertainties.During construction field execution, schedulers must maintain and update look-ahead schedules, which coordinate work for the next several weeks based on the most recent productivity achieved. This study enhances the traditional linear scheduling method used for scheduling repetitive construction operations with stochastic simulation to incorporate uncertainty in activity performance during field operations. The proposed Stochastic Linear Scheduling Method (SLSM) was implemented and demonstrated in a pipeline construction project.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Risk Analysis and Crisis Response
Volume-Issue
2 - 4
Pages
252 - 260
Publication Date
2012/12/01
ISSN (Online)
2210-8505
ISSN (Print)
2210-8491
DOI
10.2991/jrarc.2012.2.4.4How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Lingguang Song
AU  - Sang-Hoon Lee
AU  - Fitria H. Rachmat
PY  - 2012
DA  - 2012/12/01
TI  - Stochastic Look-ahead Scheduling Method for Linear Construction Projects
JO  - Journal of Risk Analysis and Crisis Response
SP  - 252
EP  - 260
VL  - 2
IS  - 4
SN  - 2210-8505
UR  - https://doi.org/10.2991/jrarc.2012.2.4.4
DO  - 10.2991/jrarc.2012.2.4.4
ID  - Song2012
ER  -