Genetic algorithm for determining the construction logistics of precast components
Engineering, Construction and Architectural Management
ISSN: 0969-9988
Article publication date: 18 June 2019
Issue publication date: 18 September 2019
Abstract
Purpose
Precast construction has become increasingly popular in the construction industry. Nonetheless, the logistics of construction materials has been a neglected topic, and this neglect has resulted in delays and cost overruns. Careful planning that considers all of the factors affecting construction logistics can ensure project success. The purpose of this paper is to examine the potential for using genetic algorithms (GAs) to derive logistics plans for materials production, supply and consumption.
Design/methodology/approach
The proposed GA model is based on the logistics of precast components from the supplier’s production yard, to the intermediate warehouse and then to the construction site. Using an activity-based costing (ABC) approach, the model not only considers the project schedule, but also takes into account the production and delivery schedule and storage of materials.
Findings
The results show that GAs are suitable for solving time-cost trade-off problems. The optimization process helps to identify the activity start time during construction and the delivery frequency that will result in the minimal cost. What-if scenarios can be introduced to examine the effects of changes in construction logistics on project outcomes.
Originality/value
This paper presents a method for using GAs and an ABC approach to support construction logistics planning decisions. It will help construction planners and materials suppliers to establish material consumption and delivery schedules, rather than relying on subjective judgment.
Keywords
Acknowledgements
The authors would like to acknowledge The National Natural Science Foundation of China for supporting this study (Grant No. 51608132).
Citation
Fang, Y. and Ng, S.T. (2019), "Genetic algorithm for determining the construction logistics of precast components", Engineering, Construction and Architectural Management, Vol. 26 No. 10, pp. 2289-2306. https://doi.org/10.1108/ECAM-09-2018-0386
Publisher
:Emerald Publishing Limited
Copyright © 2019, Emerald Publishing Limited