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 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…
Some refineries need to process both low and high fusion point crude oil. Often storage tanks are located at two geographically different sites, one for low fusion point crude oil and the other for high one. With two storage sites, two pipelines are…
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…
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…
In discrete manufacturing, just in time schedule is pursued so as to better respond to the market. In the practice, it is also required to do so in oil refinery. However, the existing scheduling techniques for finding short-term scheduling in oil…
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…
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…
With both discrete-event and continuous variables, the process of crude oil operations in a refinery is characterized as a hybrid system. The scheduling problem of crude oil operations is naturally combinatorial and challenging. Moreover, with oil…
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 detailed schedule to realize a given refining schedule. This…
With the hybrid characteristics of a refinery, it is very challenging to schedule crude oil operations. This work intends to solve this scheduling problem by decomposing it into two sub-problems hierarchically. At the upper level, a refining schedule…
For the short-term scheduling problem of crude oil operations, this paper studies the detailed scheduling problem to realize a given refining schedule. The problem is formulated as an integer programming model by using discrete-time representation.…
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…
With the interaction of discrete-event and continuous processes, the short-term scheduling problem of crude oil operations is essentially combinatorial. As charging tanks are a type of critical resources, it is crucial to determine how many charging…
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…
Some refineries need to process both low and high fusion point crude oil. Often storage tanks are located at two geographically different sites, one for low fusion point crude oil and the other for high one. With two storage sites, two pipelines are…
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…
With the interaction of discrete-event and continuous processes, the short-term scheduling problem of crude oil operations is essentially combinatorial. As charging tanks are a type of critical resources, it is crucial to determine how many charging…
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…
This paper presents a Mathematical Programming approach to optimize the scheduling of tanks in oil refineries. The considered problem is part of oil industry supply chain, where decisions are taken in strategic, tactical, and operational levels. The…
The scheduling of the supply chain of the oil industry plays an important role for both international and national industrials sectors in order to provide oil products having a great place in the daily life of the individual and factories. Further,…
As the population in Indonesia grows, the need of energy in forms of fuel, electricity, asphalt, or wax which were distilled through the refinery process of crude oil, has been consistently increasing for the past several years. In addition, with the…
Many airport ground service scheduling (AGSS) problems can be formulated as vehicle routing problem with tight time windows, short travel time and re-used vehicles (VRPTSR). A model with multiple objectives to minimize the number of vehicles used,…
This paper presents a simulation model of the operation of a liner shipping network that considers multiple service routes and schedules. The objective is to evaluate the operational costs and performance associated with liner shipping, as well as…
Well scheduling in oil and gas production in a virtual enterprise is a distributed and online scheduling problem. For such a scheduling problem, planned schedules are subject to unexpected disruptions or under- or over- estimated completion times. To…
Vessel scheduling for an industrial crude oil exploration operation, coming under the category of vehicle routing problem (VRP), is solved under multiobjective optimization framework. Objectives under consideration are minimization of total time,…
Short-term scheduling for crude oil operations is a combinatorial problem and involves extreme detail. Thus, it is very complicated and, up to now, there is no efficient technique and software tool for it. To search for efficient techniques, 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…
There are varieties of constraints for a short-term scheduling problem of crude oil operations in a refinery. These constraints are difficult to model and complicate the short-term scheduling problem. Among them, oil residency time and high fusion…
We study petrol truck scheduling problem considering multi-path selection and congestion. In real life, drivers can choose paths to go between the start and finish when distributing oil, and with the increase of vehicles, road blockage has become a…
Non-pipelined wells are common in the oilfields, in which each well is assigned with a dedicated stock tank and tank-oil transportation is accomplished by tank trucks. There are potential safety hazards and high transportation cost caused by tank…
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…
This paper presents an expert system model designed for wide geographic sparse scheduling applications. Fuzzy logic and knowledge based formalism are combined with classical solving tools (e.g. constraint analysis rules, date propagation and…
We describe a simulation model of a liquid fuel supplier operating on the Ohio River. Each day, orders arrive for six different fuel types at six different locations. The goal of this study was to determine the appropriate number of tow boats…
Some refineries need to process both low and high fusion point crude oil. Often storage tanks are located at two geographically different sites, one for low fusion point crude oil and the other for high one. With two storage sites, two pipelines are…
We present an integrated Differential Evolution (DE), Genetic Algorithm (GA) and Hybrid Petri net (HPN) based approach for scheduling of a hybrid dynamical transport network operation. The main advantage of the proposed approach is a reduction of…
In discrete manufacturing, just in time schedule is pursued so as to better respond to the market. In the practice, it is also required to do so in oil refinery. However, the existing scheduling techniques for finding short-term scheduling in oil…
Decisions regarding the buying, storing and selling of natural gas are difficult facing the high volatility of prices and uncertain demand. The increasing availability of low-Btu gas complicates decisions faced by investors and operational planners…
Power generated by the natural gas (NG) is a promising option for solving the restrictions on the development of the power industry. Consequently, the high interdependence between NG network and electricity network should be considered in this…
The percentage of gas-fired generating units in China is increasing rapidly in recent years. Due to the uncertainty in natural gas supply and the shared usage by other industries and residents, the available natural gas supply cannot be predicted…