
This paper discusses the variance-constrained shortest path problem. This problem can be used to model any application in which the travel costs on a link are not deterministic, but follow a distribution that has possible correlation with travel cost on other links. Exact solution methods are proposed, and results are reported from computational experiments on data sets derived from a real-life routine scenario involving the transportation of liquefied-gas hazardous materials.
Transportation, logistics and supply chain management, Programming involving graphs or networks, variance-constrained shortest path
Transportation, logistics and supply chain management, Programming involving graphs or networks, variance-constrained shortest path
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