TY  - JOUR
ID  - scholars464
KW  - Mathematical models; Optimization; Risk management; Robustness (control systems)
KW  -  Mean-absolute deviation (MAD); Refinery planning; Scenario analysis; Two-stage stochastic programming
KW  -  Stochastic programming
KW  -  Mathematical models; Optimization; Risk management; Robustness (control systems); Stochastic programming
N2  - This work proposes a hybrid of stochastic programming (SP) approaches for an optimal midterm refinery planning that addresses three sources of uncertainties: prices of crude oil and saleable products, demands, and yields. An SP technique that utilizes compensating slack variables is employed to explicitly account for constraints' violations to increase model tractability. Four approaches are considered to ensure solution and model robustness: (1) the Markowitz's mean-variance (MV) model to handle randomness in the objective function coefficients by minimizing the variance (economic risk) of the expected value of the random coefficients; (2): the two-stage SP with fixed recourse approach to deal with randomness in the RHS and LHS coefficients of the constraints by minimizing the expected recourse costs due to constraints' violations; (3) incorporation of the MV model within the framework developed in (2) to formulate a mean-risk model that minimizes both 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 measure of operational risk imposed by the recourse costs for a novel refinery planning application. A representative numerical example is illustrated. © 2007 Elsevier B.V. All rights reserved.
IS  - 9-10
VL  - 47
A1  - Khor, C.S.
A1  - Elkamel, A.
A1  - Ponnambalam, K.
A1  - Douglas, P.L.
JF  - Chemical Engineering and Processing: Process Intensification
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-44949109335&doi=10.1016%2fj.cep.2007.09.016&partnerID=40&md5=d3cf2a849bec6cf5f22ccd225c5d7010
Y1  - 2008///
SP  - 1744
TI  - Two-stage stochastic programming with fixed recourse via scenario planning with economic and operational risk management for petroleum refinery planning under uncertainty
N1  - cited By 67
AV  - none
EP  - 1764
SN  - 02552701
ER  -