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A method to automate look-ahead schedule (LAS) generation for the finishing phase of construction projects
Abstract Look-ahead schedules (LASs) in the finishing phase of complex projects produced with sufficient detail can help prevent conflict, ensure correct work sequence, and facilitate a fluent workflow for a crew, preventing rework. Unfortunately, such LASs are rarely used in these projects because of the time-consuming schedule generation process, the high probability of introducing errors into the LASs and the inability to find the close-to-optimum LAS from the vast number of feasible alternatives. This paper proposes an automated LAS generation (ALASG) method addressing these challenges. A software prototype developed based on the ALASG method is presented and a simulation-based approach is introduced to find close-to-optimum LASs quickly in terms of construction duration or cost for a case study. The proposed method contributes to the field of automated project scheduling, particularly automated look-ahead scheduling, through the quick generation of error-free, close-to-optimum LASs for the finishing phase of complex projects.
Highlights A method that automates LAS generation for the finishing phase of complex projects The method can quickly generate error-free LASs with good quality. The method integrates different sources of project data at proper levels of detail. The method schedules operations without violating critical constraints.
A method to automate look-ahead schedule (LAS) generation for the finishing phase of construction projects
Abstract Look-ahead schedules (LASs) in the finishing phase of complex projects produced with sufficient detail can help prevent conflict, ensure correct work sequence, and facilitate a fluent workflow for a crew, preventing rework. Unfortunately, such LASs are rarely used in these projects because of the time-consuming schedule generation process, the high probability of introducing errors into the LASs and the inability to find the close-to-optimum LAS from the vast number of feasible alternatives. This paper proposes an automated LAS generation (ALASG) method addressing these challenges. A software prototype developed based on the ALASG method is presented and a simulation-based approach is introduced to find close-to-optimum LASs quickly in terms of construction duration or cost for a case study. The proposed method contributes to the field of automated project scheduling, particularly automated look-ahead scheduling, through the quick generation of error-free, close-to-optimum LASs for the finishing phase of complex projects.
Highlights A method that automates LAS generation for the finishing phase of complex projects The method can quickly generate error-free LASs with good quality. The method integrates different sources of project data at proper levels of detail. The method schedules operations without violating critical constraints.
A method to automate look-ahead schedule (LAS) generation for the finishing phase of construction projects
Dong, Ning (author) / Fischer, Martin (author) / Haddad, Zuhair (author) / Levitt, Raymond (author)
Automation in Construction ; 35 ; 157-173
2013-05-16
17 pages
Article (Journal)
Electronic Resource
English
| British Library Online Contents | 2013
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