A Hybrid Decomposition Method for Integrating Coal Supply and Demand Models

Jeremy F. Shapiro and David E. White
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Jeremy F. Shapiro: Massachusetts Institute of Technology, Cambridge, Massachusetts
David E. White: Energy System Research Group, Boston, Massachusetts

Operations Research, 1982, vol. 30, issue 5, 887-906

Abstract: A number of large scale models have been proposed and implemented in recent years to study the anticipated expansion of coal production and utilization in the United States. This paper reports on the application of mathematical programming decomposition methods to the constructive integration and optimization of these models. In particular, it was found that an implemented hybrid decomposition approach, part resource directed and part price directed, exhibited fast convergence to an optimal solution.

Keywords: 473 coal supply and demand modeling; 635 multiregional and intertemporal; 637 decomposition methods (search for similar items in EconPapers)
Date: 1982
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Persistent link: https://EconPapers.repec.org/RePEc:inm:oropre:v:30:y:1982:i:5:p:887-906

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