Journal article
BILEVEL MULTI-OBJECTIVE CONSTRUCTION SITE SECURITY PLANNING WITH TWOFOLD RANDOM PHENOMENON
Journal of industrial and management optimization, v 11(2), pp 595-617
01 Apr 2015
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The lack of early security arrangements during the construction period can increase the vulnerability of construction project. To support current construction security standards, this paper proposes a bilevel multiobjective model for construction site security problem (CSSP). In contrast to prior studies of CSSP, the bilevel relationship and twofold random phenomenon are considered. Specifically, the upper level programming denotes that project security officer must first decide which facilities to be secured under limited funds whilst maximizing the efficiency of the construction facilities system and minimizing the countermeasure cost and economic loss. The lower level programming denotes that the attacker will destroy a subset of the facilities to inflict maximum loss of efficiency in the construction facilities system. To deal with the uncertainties, expected value method and chance constraint method are introduced to transform the uncertain model into a calculable one. Thereafter, a stochastic simulation based constraint checking procedure is designed. Plant Growth Simulation Algorithm (PGSA) is applied to solve this model. Finally, the approach is carried out in the Longtan hydropower construction project to illustrate the efficiency of the proposed model and algorithm.
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Details
- Title
- BILEVEL MULTI-OBJECTIVE CONSTRUCTION SITE SECURITY PLANNING WITH TWOFOLD RANDOM PHENOMENON
- Creators
- Zongmin Li - Sichuan Univ, Sch Business, Chengdu 610064, Peoples R ChinaJiuping Xu - Sichuan Univ, Sch Business, Chengdu 610064, Peoples R ChinaWenjing Shen - Drexel UniversityBenjamin Lev - Drexel Univ, LeBow Coll Business, Dept Decis Sci, Philadelphia, PA 19104 USAXiao Lei - China Three Gorges Corp, Yichang 443001, Peoples R ChinaState Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610064
- Publication Details
- Journal of industrial and management optimization, v 11(2), pp 595-617
- Publisher
- Amer Inst Mathematical Sciences-Aims
- Number of pages
- 23
- Grant note
- 70831005 / NSFC; National Natural Science Foundation of China (NSFC) Sichuan University "Innovative Research Base for Economic Development and Management" 20130181110063 / Research Foundation of Ministry of Education for the Doctoral Program of Higher Education of China; Research Fund for the Doctoral Program of Higher Education of China (RFDP) 201206240126 / China Scholarships Council
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Decision Sciences (and Management Information Systems)
- Web of Science ID
- WOS:000343161700015
- Scopus ID
- 2-s2.0-84907164597
- Other Identifier
- 991019167667004721
UN Sustainable Development Goals (SDGs)
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Source: SDGs in the Output
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- Collaboration types
- Industry collaboration
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Engineering, Multidisciplinary
- Mathematics, Interdisciplinary Applications
- Operations Research & Management Science