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Short-Term Scheduling of Crude-Oil Operations: Enhancement of Crude-Oil Operations Scheduling Using a Petri Net-Based Control-Theoretic Approach.
- Source :
- IEEE Robotics & Automation Magazine; Jun2015, Vol. 22 Issue 2, p64-76, 13p
- Publication Year :
- 2015
-
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. [ABSTRACT FROM PUBLISHER]
- Subjects :
- PRODUCTION scheduling
PETROLEUM
PETRI nets
LINEAR programming
HEURISTIC algorithms
Subjects
Details
- Language :
- English
- ISSN :
- 10709932
- Volume :
- 22
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- IEEE Robotics & Automation Magazine
- Publication Type :
- Academic Journal
- Accession number :
- 103304106
- Full Text :
- https://doi.org/10.1109/MRA.2015.2415047