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• W1751549213 abstract "To effectively operate a refinery and make it competitive, efficient short-term scheduling techniques that utilize commercial software tools for practical applications need to be developed. However, cumbersome details make it difficult to solve the short-term scheduling problem (STSP) of crudeoil operations, and mathematical programming models fail to meet the industrial needs. This article proposes an innovative control-theoretic and formal model-based method to tackle this long-standing issue. This method first models the STSP as a hybrid Petri net (PN) and then derives critically important schedulability conditions. The conditions are used to decompose a complex problem into several tractable subproblems. In each subproblem, there are either continuous variables or discrete variables. For subproblems with continuous variables, this work proposes a linear programming-based method to solve them; while, for subproblems with discrete variables, this work adopts efficient heuristics. Consequently, the STSP is efficiently resolved,and the application of the proposed method is well illustrated via industrial case studies." @default.
• W1751549213 created "2016-06-24" @default.
• W1751549213 creator A5045305170 @default.
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• W1751549213 date "2015-06-01" @default.
• W1751549213 modified "2023-09-25" @default.
• W1751549213 title "Short-Term Scheduling of Crude-Oil Operations: Enhancement of Crude-Oil Operations Scheduling Using a Petri Net-Based Control-Theoretic Approach" @default.
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• W1751549213 doi "https://doi.org/10.1109/mra.2015.2415047" @default.
• W1751549213 hasPublicationYear "2015" @default.
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