Abstract
ABSTRACT This article studies the resilience capabilities of urban supply chain processes and interdependent critical infrastructures (CIs). By proposing the use of high performance computing capabilities and real-time and historical big data processing, this research seeks to design simulation models and create an encompassing scenario library to provide response and recovery forecast of the interdependent CIs during disruption events of different scales and natures. We illustrate the oil and gas supply chain processes in the Greater Houston Metropolitan Area that control the petroleum and petrochemical supply chain distributions in the United States. The CI systems examined in this research included oil and gas refinery facilities, inbound and outbound distribution pipelines, power plant and electric generating systems, telecommunication systems, and social network of stakeholders. Directions of future research are also discussed. Keywords Supply Chain Management, Critical Infrastructure, Infrastructure Interdependency, Supply Chain Resilience
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