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 A Hybrid of Stochastic Programming Approaches with Economic and Operational Risk Management Optimization Strategies
Наименование:

A Hybrid of Stochastic Programming Approaches with Economic and Operational Risk Management Optimization Strategies: Petroleum Refinery Planning under Uncertainty.

автор Cheng S.K. издательство Книга по Требованию География
Cтраниц 328        мягкая обложка       
Аннотация:An SP technique that utilizes compensating slack variables is employed to explicitly account for constraint violations to increase model tractability. This work proposes a hybrid of stochastic programming (SP) approaches for an optimal midterm refinery planning that addresses three forms of uncertainties: prices of crude oil and products, demands, and yields. Four approaches are considered to achieve solution and model robustness: (1) the Markowitz' s mean-variance (MV) model to handle randomness in the objective coefficients by minimizing the variance (economic risk) of the expected value of the random coefficients; (2) the two-stage SP with fixed recourse to deal with randomness in the RHS and LHS coefficients of the constraints by minimizing the expected recourse costs; (3) incorporation of the MV model within the framework in (2) to formulate a mean? risk model that minimizes the expectation and the operational risk measure of variance of the recourse costs; and (4) reformulation of the model in (3) by adopting mean-absolute deviation (MAD) as the operational risk measure imposed by the recourse costs for a novel refinery planning application. A numerical example is illustrated.
Автор: Cheng S.K.
Издательство: Книга по Требованию
Год:2010
Цена:
3233 руб
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Поиск: A Hybrid of Stochastic Programming Approaches with Economic and Operational Risk Management Optimization Strategies: Petroleum Refinery Planning under Uncertainty.
НОВЫЙ ГОД СИМВОЛ 2013 ГОДАУКРАШЕНИЯ
КАРНАВАЛ НА НОВЫЙ ГОД РАСПРОДАЖА
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