The scheduling algorithm generally only considers the factors that directly affect the computing performance, such as processor, internal and external storage, and network, but ignores the data itself. In data-intensive computing applications, data…
The scheduling algorithm generally only considers the factors that directly affect the computing performance, such as processor, internal and external storage, and network, but ignores the data itself. In data-intensive computing applications, data…
The scheduling algorithm generally only considers the factors that directly affect the computing performance, such as processor, internal and external storage, and network, but ignores the data itself. In data-intensive computing applications, data…
Big data analytics (BDA) applications are a new category of software applications that process large amounts of data using scalable parallel processing infrastructure to obtain hidden value. Hadoop is the most mature open-source big data analytics…
Big data analytics (BDA) applications are software applications that process huge amounts of data using large-scale parallel processing infrastructure to obtain hidden value. Hadoop is the most mature open source BDA processing framework, which…
Resource scheduling is indispensable for enhancing the system performance during big data processing on clouds. It is highly useful for attaining significant utilization of computing resources completely concentrating towards the facilitation of…
Although the transportation tends to serve as flexible loads to smooth the energy demand profile, the transportation capacity is far from fully exploited to promote the efficiency of energy systems. Railways can transport a large volume of liquefied…
The electrified railway system with liquefied natural gas (LNG) transported is closely related to the integrated electricity-gas energy system, but little research focuses on the coordinated optimal operation of these systems. To fill the gap, this…
Although modern Maritime Transportation Systems (MTS) have been extensively benefited from Internet of Things (IoT) technology, but still the risks and challenges in safety and reliability have increased substantially. The involvement of different…
This study addresses the scheduling of an oil derivatives transportation system by a multiproduct pipeline that connects a single refinery to a distribution center (DC) and that meets the customer demands on a daily basis by considering integrated…
Establishing on operations research model is the mainstream method for automatic optimization scheme, but it is not possible to use a single undecomposed mathematical model to quickly obtain a good solution for complex crude oil scheduling issue.…
Nowadays, the new trend of global economy has driven the business strategy from the local to the global supply chain optimization. The comprehensive logistics solutions are critical to integrate supply chain management in the global landscape. We…
The human resources' scheduling is one of the problems widely studied in the literature. This wealth is explained by the diversification of objectives and constraints from one case to another. In this context, we focus on the case of the scheduling…
In some refineries, storage tanks are located at two different sites, one for low-fusion-point crude oil and the other for high one. Two pipelines are used to transport different oil types. Due to the constraints resulting from the high-fusion-point…
In this paper, we propose a heuristic algorithm to solve a practical ship scheduling problem for international crude oil transportation. The problem is considered as a vehicle routing problem with split deliveries. The objective of this paper is to…
Crude oil transportation is a central logistics operation in petrochemical industry because its cost represents a significant part in the cost of petrochemical products. In this paper, we consider the transportation by tankers or trucks. We show that…
Various groups have studied the optimal crude-oil operation scheduling problem in refineries over the last few decades, resulting in diverse mixed integer linear programming or mixed nonlinear programming formulations. This paper proposes a novel…
With the increasing global demands for energy, fuel supply management is a challenging task of todays industries in order to decrease the cost of energy and diminish its adverse environmental impacts. To have a more environmentally friendly fuel…
Liquefied Natural Gas (LNG) is natural gas that is converted into its liquid state for logistical benefits. It is also becoming a more viable alternative energy source due to its price competitiveness and environmental friendliness. We study an…
The maritime oil tanker routing and scheduling problem is known to the literature since before 1950. In the presented problem, oil tankers transport crude oil from supply points to demand locations around the globe. The objective is to find ship…
We propose a column generation based heuristic algorithm to solve a ship routing and scheduling problem for crude oil transportation with split deliveries. The problem is to find an optimal assignment and sequence and loading volume of demand…
The inherent variable property of solar generation and uncertainty of solar generation forecasting are two crucial challenges for utility grid operators in interconnected power system. Nowadays grid connected distributed photovoltaic solar generation…
An increasing number of natural gas combined cycle (NGCC) plants are operated under combined heat and power mode. Therefore, a combined heat and power economic dispatch (CHPED) is the key to achieve the optimal utilization of fuel. In this paper, an…
The smart field has drawn much attention for the field business functions to be tied into a smoothly operating system. However, its operation decisions still cannot meet the ever-increasing multiple data source requirements. This paper proposes a…
Combined heat and power dynamic economic dispatch (CHPDED) is one of the key technologies for the efficient operation of natural gas combined cycle (NGCC) plants in integrated energy systems. In this study, based on the actual operational…
With a combinatorial nature and hybrid characteristics, it is very challenging to schedule crude oil operations in a refinery and, up to now, there is no software tool for practical use in this field. To solve this problem, based on the two-level…
The smart field has drawn much attention for the field business functions to be tied into a smoothly operating system. However, its operation decisions still cannot meet the ever-increasing multiple data source requirements. This paper proposes a…
The smart field has drawn much attention for the field business functions to be tied into a smoothly operating system. However, its operation decisions still cannot meet the ever-increasing multiple data source requirements. This paper proposes a…
Under the guidance of carbon neutralization and carbon peaking goals, the energy structure needs to be continuously adjusted and improved. Research about the advantages of the hydrogen storage system’s efficient and optimized operation in the…
The rapid increase of renewable generation and its anticipated continued growth requires greater operational flexibility in modern power systems. Previous studies explored the addition of more flexible resources to improve system flexibility, but…
With the extensive electrification introduced into the shipboard power systems, the navigation routine has become more important in an electric propulsion and solar power integrated ships since various sailing paths and speeds will lead to different…
To satisfy component concentration constraints in crude oil operations, it is necessary to blend different oil types, resulting in a mixed integer non-linear programming (MINLP) formulation for the scheduling problem of crude oil operations. Due to…
Blending can help refineries, which have to deal with different types of crude oil, obtain a qualified feedstock. In this paper, a novel scheduling strategy of multi-pipeline crude oil blending based on constrained ordinal optimization (COO) is…
Due to the lack of improper access control policies and decentralized access controllers, security and privacy-aware peer-to-peer (P2P) energy trading among electric vehicles (EVs) and the smart grid is challenging. Most of the solutions reported in…
Energy transportation is a vital field in the petroleum industry. The transport using multi-product pipeline is a new but challenging technic to distribute refined products. The management of such system is the most challenging issue of these…
In discrete manufacturing, a just-in-time schedule is pursued so as to respond better to the market. It is also required in oil refinery. However, the existing techniques for short-term scheduling in oil refinery are based on the push production…
For short-term scheduling of crude oil operations in refinery, often crude oil residency time constraint and charging-tank-switch-overlap constraint are ignored by mathematical programming models to make the problem solvable. Thus, a schedule…
Because of the complexity of a short-term scheduling problem for crude oil operations, some constraints are ignored in modeling the system by the existing approaches, leading to an infeasible solution. To avoid this, the short-term scheduling problem…
With a combinatorial nature and hybrid characteristics, it is very challenging to schedule crude oil operations in a refinery and, up to now, there is no software tool for practical use in this field. To solve this problem, based on the two-level…
The smart field has drawn much attention for the field business functions to be tied into a smoothly operating system. However, its operation decisions still cannot meet the ever-increasing multiple data source requirements. This paper proposes a…
A short-term schedule for oil refinery should arrange all the activities in every detail for the whole scheduling horizon, leading to a complex problem. There lacks efficient techniques and software tools for its solution applicable to industrial oil…
Combined heat and power dynamic economic dispatch (CHPDED) is one of the key technologies for the efficient operation of natural gas combined cycle (NGCC) plants in integrated energy systems. In this study, based on the actual operational…
The decrease of natural reserves of non-renewable energy sources increases the energy prices. That initiates the fossil fuel replacement with renewable energy sources. The sun is an unlimited source of heat, but that is not enough used for industrial…
The marine access refineries which supply nearly 15% of the global energy requirement constantly encounter uncertainty such as unit unavailability. This uncertainty often arises due to various factors such as pump failure or leakage in tanks. Crude…
Multiple oil-product distribution through a long-distance pipeline to downstream multiple depots is critically important to petroleum refineries and has been extensively studied. Unfortunately, the issues of appropriate handling the trans-mix (TM)…
In chemical and petroleum industry pipelines are one of the most important means of transportation. However, flexibility of pipeline transport systems is limited by many restrictions. Therefore, the planning of pipeline operations is a crucial part…
Abstract Crude oil is primarily transported through sea using very large tankers. Efficient scheduling of these tankers is challenging as well as critical given long lead times, tight delivery time windows and high operational costs. We attempt to…
The maritime oil tanker routing and scheduling problem is known to the literature since before 1950. In the presented problem, oil tankers transport crude oil from supply points to demand locations around the globe. The objective is to find ship…
We propose a column generation based heuristic algorithm to solve a ship routing and scheduling problem for crude oil transportation with split deliveries. The problem is to find an optimal assignment and sequence and loading volume of demand…
Maritime transportation, the primary mode for intercontinental movement of crude oil, accounts for 1.7billion tons annually – bulk of which are carried via a fleet of large crude oil tankers. Although spectacular episodes such as Exxon Valdez…