Article ID Journal Published Year Pages File Type
7427912 Transportation Research Part E: Logistics and Transportation Review 2018 21 Pages PDF
Abstract
The global supply chain for liquid helium presents a complex structure due to increasing foreign demand, elaborate recovery techniques, and costly forms of distribution. Although the problem contains parallels to the liquid natural gas supply chain, supply requirements and problem-specific network constraints require a unique optimization model. We develop a large-scale, discrete time, path-based integer-programming model which solves optimally with CPLEX. Computational results implementing a rolling horizon structure and testing based on historical data are presented. A detailed sensitivity analysis demonstrates the effective use of our model, testing a variety of realistic parameter settings for the liquid helium supply chain.
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Social Sciences and Humanities Business, Management and Accounting Business and International Management
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