Abstract
Planning construction logistics involves the retrieval of significant amount of project's spatial, temporal, and supply data that are used to generate efficient logistics plans. This paper presents the development of an Automated Multi-objective Construction Logistics Optimization System named "AMCLOS". The main objective of the system is to support construction planners in optimally planning material procurement and storage with unique modeling capabilities for congested construction sites. To this end, AMCLOS is designed and implemented to provide a number of new and unique capabilities, including: (1) automated detection and retrieval of exterior and interior spatial data of the construction site from already available design electronic documents, such as Building Information Models (BIM); (2) fast and easy input of construction schedule data by reading available schedule data from commercially available project planning software packages; (3) seamless integration of project data that facilitates the definition of various types of spatio-temporal linking and storing all input data in a relational database; (4) utilizing multi-objective optimization and computational algorithms in order to simultaneously minimize total logistics planning and project schedule criticality; and (5) interactive data input and reporting of generated optimization results.
Original language | English (US) |
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Pages | 204-213 |
Number of pages | 10 |
State | Published - 2013 |
Event | Annual Conference of the Canadian Society for Civil Engineering 2013: Know-How - Savoir-Faire, CSCE 2013 - Montreal, Canada Duration: May 29 2013 → Jun 1 2013 |
Other
Other | Annual Conference of the Canadian Society for Civil Engineering 2013: Know-How - Savoir-Faire, CSCE 2013 |
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Country/Territory | Canada |
City | Montreal |
Period | 5/29/13 → 6/1/13 |
ASJC Scopus subject areas
- General Engineering