Article ID: | iaor20081328 |
Country: | United States |
Volume: | 54 |
Issue: | 4 |
Start Page Number: | 643 |
End Page Number: | 655 |
Publication Date: | Jul 2006 |
Journal: | Operations Research |
Authors: | Fuller J.D., Wu Y. June, Chung William |
Keywords: | programming: linear, supply & supply chains, economics |
This paper discusses decomposition of a multiregional economic equilibrium model that is characterized by a cost minimizing, linear programming (LP) model of the supply side and a vector-valued function that gives demand prices as functions of the quantities demanded. Our motivation is to ease model development and maintenance by a solution method that links separately developed regional models only when a consistent multiregion solution is desired. A heuristic strategy is described to extend any existing (LP) decomposition principle to a procedure for decomposing an equilibrium model by region. This strategy is applied to extend Dantzig–Wolfe decomposition to the multiregional economic equilibrium model, and several theoretical results are derived for the resulting algorithm. The central result is a proof of asymptotic convergence, under usefully general conditions. The extended Dantzig–Wolfe procedure is illustrated with an existing, two-region model of Canadian energy supplies and demands.