Optimizing Resource Utilization during the Recovery of Civil Infrastructure Systems |
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Authors: | Wallied Orabi Ahmed B. Senouci Khaled El-Rayes Hassan Al-Derham |
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Affiliation: | 1Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Univ. of Illinois at Urbana-Champaign, Urbana, IL 61801. E-mail: orabi@illinois.edu 2Associate Professor, Dept. of Civil and Architectural Engineering, Qatar Univ., P.O. Box 2713, Doha, Qatar. E-mail: a.senouci@qu.edu.qa 3Associate Professor, Dept. of Civil and Environmental Engineering, Univ. of Illinois at Urbana-Champaign, Urbana, IL 61801 (corresponding author). E-mail: elrayes@illinois.edu 4Vice President, Research, Qatar Univ., Doha, Qatar. E-mail: alderham@qu.edu.qa
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Abstract: | Postdisaster recovery efforts of damaged civil infrastructure systems need to be optimized in order to alleviate the adverse impacts of natural disasters on local societies and economies. This paper presents an innovative framework that integrates two newly developed models for resource utilization and multiobjective optimization that are designed to optimize these recovery efforts. The developed models provide new and unique capabilities, including (1) allocating limited reconstruction resources to competing recovery projects, (2) estimating the reconstruction duration and cost associated with implementing specific recovery plans, and (3) generating optimal trade-offs between minimizing the reconstruction duration and cost. An application example is analyzed to evaluate the performance of the developed models and demonstrate their capabilities in identifying a wide spectrum of optimal reconstruction plans, where each provides a unique and nondominated trade-off between minimizing the recovery duration and cost. This allows decision makers in emergency management agencies to select and implement reconstruction plans that address various societal and economical needs in the aftermath of natural disasters. |
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Keywords: | Resource allocation Optimization Reconstruction Infrastructure Construction management Natural disasters Disaster recovery |
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