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Pareto-optimization for scheduling of crude oil operations in refinery via genetic algorithm
With the interaction of discrete-event and continuous processes, it is challenging to schedule
crude oil operations in a refinery. This paper studies the optimization problem of finding a …
crude oil operations in a refinery. This paper studies the optimization problem of finding a …
Expanding scope and computational challenges in process scheduling
In this paper, we present a brief overview of enterprise-wide optimization and challenges in
multiscale temporal modeling and integration of different models for the levels of planning …
multiscale temporal modeling and integration of different models for the levels of planning …
A branch-and-price heuristic algorithm for the bunkering operation problem of a liquefied natural gas bunkering station in the inland waterways
Liquefied natural gas (LNG) bunkering stations are areas for bunkering LNG-powered ships
via a flexible hose from either a shoreside facility, shore-based/pontoon tank, or an LNG …
via a flexible hose from either a shoreside facility, shore-based/pontoon tank, or an LNG …
[HTML][HTML] Optimization of crude oil operations scheduling by applying a two-stage stochastic programming approach with risk management
This paper focuses on the problem of crude oil operations scheduling carried out in a system
composed of a refinery and a marine terminal, considering uncertainty in the arrival date of …
composed of a refinery and a marine terminal, considering uncertainty in the arrival date of …
Many-objective optimization for scheduling of crude oil operations based on NSGA-Ⅲ with consideration of energy efficiency
Y Hou, NQ Wu, ZW Li, Y Zhang, T Qu… - Swarm and Evolutionary …, 2020 - Elsevier
Crude oil operations in refineries are characterized as a hybrid system since it contains both
discrete-event and continuous processes, and it is extremely difficult to schedule such a …
discrete-event and continuous processes, and it is extremely difficult to schedule such a …
Normalized multiparametric disaggregation: an efficient relaxation for mixed-integer bilinear problems
PM Castro - Journal of Global Optimization, 2016 - Springer
A key element for the global optimization of non-convex mixed-integer bilinear problems is
the computation of a tight lower bound for the objective function being minimized …
the computation of a tight lower bound for the objective function being minimized …
[HTML][HTML] Integration of crude-oil scheduling and refinery planning by Lagrangean Decomposition
In this work, a Mixed-Integer Nonlinear Programming (MINLP) modeling framework for
integrating short-term Crude-oil Scheduling (CS) and mid-term Refinery Planning (RP) has …
integrating short-term Crude-oil Scheduling (CS) and mid-term Refinery Planning (RP) has …
A novel monolithic MILP framework for lot-sizing and scheduling of multiproduct treelike pipeline networks
Detailed scheduling of long-distance multiproduct pipelines has received growing attention
in the past few years. It helps the planner to reduce the number of pump and segment …
in the past few years. It helps the planner to reduce the number of pump and segment …
Continuous‐time scheduling formulation for straight pipelines
Pipelines represent the most cost‐effective way of transporting large quantities of refined
petroleum products over large distances but can be challenging to operate. In this article, we …
petroleum products over large distances but can be challenging to operate. In this article, we …
Global optimization algorithm for large-scale refinery planning models with bilinear terms
P Castillo Castillo, PM Castro… - Industrial & Engineering …, 2017 - ACS Publications
We propose a global optimization algorithm for mixed-integer nonlinear programming
(MINLP) problems arising from oil refinery planning. It relies on tight mixed-integer linear …
(MINLP) problems arising from oil refinery planning. It relies on tight mixed-integer linear …