Strategic analysis of technology and capacity investments in the liquefied natural gas industry
Energy plays a fundamental role in both manufacturing and services, and natural gas is rapidly becoming a key energy source worldwide. Facilitating this emergence is an expanding network of ocean-going vessels that enable the matching of natural gas supply and demand on a global scale. This is achieved through the transportation of liquefied natural gas (LNG) for eventual regasification at its destination. Until very recently, only one type of technology had been available for transporting and regasifying LNG: Conventional LNG vessels coupled with land based LNG regasification. But it is now possible to transport and regasify LNG onboard special LNG vessels. Companies such as Excelerate Energy and Höegh LNG are currently developing LNG supply chains based on this new technology. Motivated by these developments, we engaged executives at Excelerate Energy to facilitate an investigation of issues related to strategic technology selection, as well as choices around technology configuration and capacity for the incumbent and emerging technologies. The resulting analysis brings to light managerial principles delineating the impact of alternative LNG throughput models on decisions regarding how to deploy each technology option and how to configure and size their capacity. Our findings have additional potential relevance beyond our industry specific analysis.
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- Henn, Vincent & Ottomanelli, Michele, 2006. "Handling uncertainty in route choice models: From probabilistic to possibilistic approaches," European Journal of Operational Research, Elsevier, vol. 175(3), pages 1526-1538, December.
- Yepes Rodriguez, Ramón, 2008. "Real option valuation of free destination in long-term liquefied natural gas supplies," Energy Economics, Elsevier, vol. 30(4), pages 1909-1932, July.
- James T. Jensen, 2003. "The LNG Revolution," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 1-45.
- Achal Bassamboo & J. Michael Harrison & Assaf Zeevi, 2009. "Pointwise Stationary Fluid Models for Stochastic Processing Networks," Manufacturing & Service Operations Management, INFORMS, vol. 11(1), pages 70-89, August.
- Ozelkan, Ertunga C. & D'Ambrosio, Alfred & Teng, S. Gary, 2008. "Optimizing liquefied natural gas terminal design for effective supply-chain operations," International Journal of Production Economics, Elsevier, vol. 111(2), pages 529-542, February.
- Marshall Fisher, 2007. "Strengthening the Empirical Base of Operations Management," Manufacturing & Service Operations Management, INFORMS, vol. 9(4), pages 368-382, December.
- E. J. Durrer & G. E. Slater, 1977. "Optimization of Petroleum and Natural Gas Production--A Survey," Management Science, INFORMS, vol. 24(1), pages 35-43, September.
- Francesca Gino & Gary Pisano, 2008. "Toward a Theory of Behavioral Operations," Manufacturing & Service Operations Management, INFORMS, vol. 10(4), pages 676-691, March.
- Ronen, David, 1983. "Cargo ships routing and scheduling: Survey of models and problems," European Journal of Operational Research, Elsevier, vol. 12(2), pages 119-126, February.
- Chamorro Gómez, José Manuel & Abadie, Luis M., 2006.
"Monte Carlo Valuation of natural gas investments,"
2006-25, Universidad del País Vasco - Departamento de Fundamentos del Análisis Económico I.
- Ronen, David, 1993. "Ship scheduling: The last decade," European Journal of Operational Research, Elsevier, vol. 71(3), pages 325-333, December.
- Schütz, Peter & Tomasgard, Asgeir & Ahmed, Shabbir, 2009. "Supply chain design under uncertainty using sample average approximation and dual decomposition," European Journal of Operational Research, Elsevier, vol. 199(2), pages 409-419, December.
- Geman, Hélyette, 2005. "Commodities and commodity derivatives : modeling and pricing for agriculturals, metals and energy," Economics Papers from University Paris Dauphine 123456789/607, Paris Dauphine University.
- Arnoldo C. Hax & Nicolas S. Majluf & Mark Pendrock, 1980. "Diagnostic Analysis of a Production and Distribution System," Management Science, INFORMS, vol. 26(9), pages 871-889, September.
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