Global ETD Search

41	Integrated energy risk management models for electric utility companies Chen, Hanjie 28 August 2008 (has links) Not available / text
42	Approximate method for solving two-stage stochastic programming and its application to the groundwater management Wang, Maili. January 1999 (has links) Stochastic two-stage programming, a main branch of stochastic programming, offers models and methods to find the optimal objective function and decision variables under uncertainty. This dissertation is concerned with developing an approximate procedure to solve the stochastic two-stage programming problem and applying it in relative field. Five methods used in evaluating the expected value of function for distribution problem are discussed and their basic characteristics and performances are compared to choose the most effective approach for use in a two-stage program. Then the stochastic two-stage programming solving method has been established with the combination of a genetic algorithm (GA) and point estimation (PE) procedure. This approach avoids the inherent limitations of other methods by using PE to estimate the expected value of recourse function and the GA to search optimal solution of the problem. To extend the advantage of GA the modified genetic algorithm (MGA) is built to improve the performance of GA. Finally, the whole procedure is used in several examples with different kinds of variable and linear or nonlinear style objective functions. A stochastic two-stage programming model for an aquifer management problem is set up with considering conductivity and local random recharge as the source of uncertainty in the system. The designed procedure includes the response matrix process that replaces the partial differential flow equation, Girinski potential process and a pre-setup process that makes the response matrix process application in general aquifer random field possible. Other chosen problems are solved with designed approach to illustrate the effects of uncertainty source in the stochastic programming model and compared with results with ones given in literatures. Hydrology. Stochastic programming.
43	Supply chain channel structure and disruption management Xia, Yusen 03 August 2011 (has links) Not available / text Marketing channels--Management Risk management--Mathematical models
44	Parametric allocation problems Thornton, Billy M., 1941- January 1966 (has links) No description available. Operations research.
45	An evaluation of the KSIM cross-impact matrix simulation model as applied to management decision making Milligan, Robert Hugh, 1948- January 1975 (has links) No description available. Management -- Mathematical models. Decision making -- Mathematical models.
46	Project selection considering delayed acceptance of investment projects Martinez-Serna, Javier Eugenio 12 1900 (has links) No description available. New products Product management Mathematical models
47	A feedback dynamics model of the industrial and agricultural interaction in a developing nation Ramirez Pagán, Carmen Providencia 08 1900 (has links) No description available. Economics Developing countries
48	Dynamics of unemployment in developing cities: an industrial dynamics study Serna, Raul 12 1900 (has links) No description available. Unemployed Colombia
49	An industrial dynamics study of selected factors affecting company growth Hicks, Philip Edward 05 1900 (has links) No description available. Decision making
50	Operations research techniques applied to mine production planning Posaner, Franz Michel January 1974 (has links) vi, 146 leaves : ill. ; 25 cm. / Title page, contents and abstract only. The complete thesis in print form is available from the University Library. / Thesis (Ph.D.1974) from the Dept. of Applied Mathematics, University of Adelaide Mathematical optimization.

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