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A mixed-integer programming strategy for liquid helium global supply chain planning

Ethan Malinowski, Mark H. Karwan, José M. Pinto and Lei Sun

Transportation Research Part E: Logistics and Transportation Review, 2018, vol. 110, issue C, 168-188

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.

Keywords: Industrial gas supply chain; Supply chain analytics; Mixed-integer programming; Rolling horizon (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (4)

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DOI: 10.1016/j.tre.2017.12.014

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