Optimizing diesel fuel supply chain operations to mitigate power outages for hurricane relief. (15th July 2022)

• Record Type: Journal Article
• Authors: Yang, Haoxiang; Duque, Daniel; Morton, David P.
• Is Part Of: IISE transactions. Volume 54:Number 10(2022)
• Page Start: 936
• Page End: 949
• Publication Date: 2022-07-15
• Subjects: Diesel fuel supply chain -- hurricane relief -- stochastic programming; Industrial engineering -- Periodicals; Systems engineering -- Periodicals; Industrial engineering; Systems engineering; Electronic journals; Periodicals; 670.285
• DOI: 10.1080/24725854.2021.2021461
• Languages: English
• ISSNs: 2472-5854

Abstract

Abstract: Hurricanes can cause severe property damage and casualties in coastal regions. Diesel fuel plays a crucial role in hurricane disaster relief. It is important to optimize fuel supply chain operations so that emergency diesel fuel demand for power generation in a hurricane's immediate aftermath can be mitigated. It can be challenging to estimate diesel fuel demand and make informed decisions in the distribution process, accounting for the hurricane's path and severity. We develop predictive and prescriptive models to guide diesel fuel supply chain operations for hurricane disaster relief. We estimate diesel fuel demand from historical weather forecasts and power outage data. This predictive model feeds a prescriptive stochastic programming model implemented in a rolling-horizon fashion to dispatch tank trucks. This data-driven optimization tool provides a framework for decision support in preparation for approaching hurricanes, and our numerical results provide insights regarding key aspects of operations.