Journal article
Bilevel and multi-objective dynamic construction site layout and security planning
Automation in construction, v 57
Sep 2015
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The joint problem of dynamic construction site layout and security planning is fundamental to any construction project. However, it is still largely unexplored. Few research studies investigated the implementation of security measures during the construction phase. This paper proposes a bilevel multi-objective model for the dynamic construction site layout and security planning problem. Specifically, the upper-level programming denotes that the project manager must first choose the construction site layout and security strategies to minimize the layout costs and consequences of a potential attack. The lower-level programming denotes that the attacker will destroy a subset of the facilities to inflict the maximum economic consequence on the construction facilities system. Thereafter, a bilevel multi-objective Particle Swarm Optimization Algorithm (MOBLPSO) is designed to solve this model. Finally, the approach is carried out in the Xiajiang hydropower large-scale construction project to illustrate the effectiveness of the proposed model and algorithm.
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•A new model for the joint dynamic construction site layout and security decisions is proposed.•Multiple objectives, bilevel decision makers, and twofold randomness are incorporated.•A Particle Swarm Optimization Algorithm is developed to handle infeasible solutions effectively.•A practical case is given to demonstrate the proposed model and algorithms.
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Details
- Title
- Bilevel and multi-objective dynamic construction site layout and security planning
- Creators
- Zongmin Li - Sichuan UniversityWenjing Shen - Drexel UniversityJiuping Xu - State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610064, PR ChinaBenjamin Lev - Drexel University
- Publication Details
- Automation in construction, v 57
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Decision Sciences (and Management Information Systems)
- Web of Science ID
- WOS:000360772400001
- Other Identifier
- 991019167579104721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Construction & Building Technology
- Engineering, Civil