IEEE Robotics & Automation Magazine - June 2015 - 64

Enhancement
of Crude-Oil
Operations
Scheduling Using
a Petri Net-Based
Control-Theoretic
Approach

BLISHING
INGRAM PU
ENSED BY
IMAGE LIC

Short-Term Scheduling
of Crude-Oil Operations
By NaiQi Wu, MengChu Zhou, and ZhiWu Li

T

o 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

Digital Object Identifier 10.1109/MRA.2015.2415047
Date of publication: 15 May 2015

64

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IEEE ROBOTICS & AUTOMATION MAGAZINE

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JUNE 2015

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.
1070-9932/15©2015IEEE



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