eprintid: 507 rev_number: 2 eprint_status: archive userid: 1 dir: disk0/00/00/05/07 datestamp: 2023-11-09 15:16:09 lastmod: 2023-11-09 15:16:09 status_changed: 2023-11-09 15:14:43 type: article metadata_visibility: show creators_name: Khor, C.S. creators_name: Elkamel, A. creators_name: Douglas, P.L. title: Stochastic refinery planning with risk management ispublished: pub keywords: Finance; Insurance; Management; Mathematical programming; Occupational risks; Planning; Refining; Rhodium compounds; Risk assessment; Risk management; Stochastic models; Stochastic programming; Uncertainty analysis, Absolute deviations; Crude oils; Mean-variance; Numerical examples; Objective function; Optimization under uncertainty; Product demands; Product yields; Refinery planning; Risk; Risk measure; Saleable products; Scenario analysis; Slack variables; Two-stage stochastic programming, Risk analysis note: cited By 16 abstract: This work proposes a two-stage stochastic programming model with fixed recourse via scenario analysis with incorporation of risk management for an optimal midterm refinery planning that addresses three factors of uncertainties: prices of crude oil and saleable products (in the objective function), product demands (in the RHS coefficients), and product yields (in the LHS coefficients). Compensating slack variables and discrepancy costs are employed to explicitly account for constraints' violations to increase model tractability. Variance is adopted as the risk measure, with its shortcomings highlighted and mean-absolute deviation proposed as an improved alternative. A representative numerical example is illustrated. date: 2008 official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-50249189336&doi=10.1080%2f10916460701287813&partnerID=40&md5=8ef56f58b1aeba0a3a76445ad82c1691 id_number: 10.1080/10916460701287813 full_text_status: none publication: Petroleum Science and Technology volume: 26 number: 14 pagerange: 1726-1740 refereed: TRUE issn: 10916466 citation: Khor, C.S. and Elkamel, A. and Douglas, P.L. (2008) Stochastic refinery planning with risk management. Petroleum Science and Technology, 26 (14). pp. 1726-1740. ISSN 10916466