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

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

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.

Suggested Citation

  • Malinowski, Ethan & Karwan, Mark H. & Pinto, José M. & Sun, Lei, 2018. "A mixed-integer programming strategy for liquid helium global supply chain planning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 110(C), pages 168-188.
    • Handle: RePEc:eee:transe:v:110:y:2018:i:c:p:168-188
    DOI: 10.1016/j.tre.2017.12.014
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    2. Becerra-Fernandez, Mauricio & Cosenz, Federico & Dyner, Isaac, 2020. "Modeling the natural gas supply chain for sustainable growth policy," Energy, Elsevier, vol. 205(C).
    3. Jeong, Yoonjea & Saha, Subrata & Chatterjee, Debajyoti & Moon, Ilkyeong, 2018. "Direct shipping service routes with an empty container management strategy," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 123-142.

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