Jenny Fajardo

• PhD
• Researcher at University of Deusto

For companies involved in the supply chain, proper warehousing management is crucial. Warehouse layout arrangement and operation play a critical role in a company’s ability to maintain and improve its competitiveness. Reducing costs and increasing efficiency are two of the most crucial warehousing goals. Deciding on the best warehouse layout is a r...

The growth in e-commerce that our society has faced in recent years is changing the view companies have on last-mile logistics, due to its increasing impact on the whole supply chain. New technologies are raising users’ expectations with the need to develop customized delivery experiences; moreover, increasing pressure on supply chains has also cre...

Location problems have been highly studied in the field of logistics. A classic location model is the maximal covering location problem (MCLP), which attempts to locate a limited number of facilities in order to maximize the overall covered demand. The dynamic MCLP (DMCLP) is a well-known generalization where the facilities are located in several p...

Traffic accidents are of worldwide concern, as they are one of the leading causes of death globally. One policy designed to cope with them is the design and deployment of road safety systems. These aim to predict crashes based on historical records, provided by new Internet of Things (IoT) technologies, to enhance traffic flow management and promot...

Traffic accidents are one of the leading causes of death around the world. One well-established strategy to deal with this public health issue is the design and deployment of road safety systems, which are in charge of predicting traffic crashes to promote safer roads. Increasing data availability has supported Machine learning (ML) to address the...

Warehousing management is essential for many companies involved in the supply chain. The optimal arrangement and operation of warehouses play important role in companies, allowing them to maintain and increase their competitiveness. One of the main goals of warehousing is the reduction of costs and improvement of efficiency. Determination of the id...

With the increase in the global population and rising demand for food and other materials, there has been a rise in the amount of waste being generated daily by each house and locality. Most of the waste that is generated is thrown into the garbage containers, from where it is collected by the area municipalities. Improper management of waste in ci...

The maximal covering location problem attempts to locate a limited number of facilities in order to maximize the coverage over a set of demand nodes. This problem is NP-Hard and it has been often addressed by using metaheuristics, where the execution time directly depends on the number of evaluations of the objective function. In this paper, the pr...

The availability of Wi-Fi connection points or hotspots in places such as parks, transport stations, libraries, and so on is one of the key aspects to allow people the usage of Internet resources (to study, work or meet). This is even more important in Central America and Caribbean countries where the deployment of huge cost infrastructure (like op...

Los problemas de localización de instalaciones se aplican a una gama amplia de situaciones reales ganando un gran interés en el ámbito de la investigación. El problema de localización de máxima cobertura (MCLP) es uno de los modelos clásicos de la literatura y su objetivo es maximizar la cobertura sobre la demanda de una población con recursos limi...

In the field of service management plays a decisive role the location of the facilities to improve the quality of services. The maximal covering location problem allows locating a known number of facilities in order to maximize the demand covered. An important aspect to take into account is the varying of demand of the nodes with respect to the tim...

The location of facilities (antennas, ambulances, police patrols, etc) has been widely studied in the literature. The maximal covering location problem aims at locating the facilities in such positions that maximizes certain notion of coverage. In the dynamic or multi-period version of the problem, it is assumed that the nodes’ demand changes with...

The location of facilities (antennas, ambulances, police patrols, etc.) has been widely study in the literature. The maximal covering location problem aims at locating the facilities in such positions that maximizes certain notion of coverage. The model of the MCLP and the solutions obtained as a result of applying metaheuristics are difficult to u...

p>Diversos autores coinciden en la importancia de las pruebas como elemento de control de calidad del software y en la imposibilidad de realización de pruebas exhaustivas. Este criterio está sustentado en que la cantidad de escenarios y valores de prueba necesarios para lograr cobertura total es grande, lo que convierte el diseño de casos de prueba...

Diversos autores coinciden en la importancia de las pruebas como elemento de control de calidad del software y en la imposibilidad de la realización de pruebas exhaustivas. Este criterio está sustentado en que la cantidad de escenarios y valores de prueba necesarios para lograr cobertura total es grande, lo que convierte el diseño de casos de prueb...

Since their first appearance in 1997 in the prestigious journal Science, algorithm portfolios have become a popular approach to solve static problems. Nevertheless and despite that success, they have not received much attention in Dynamic Optimization Problems (DOPs). In this work, we aim at showing these methods as a powerful tool to solve combina...

El trabajo aborda la solución del problema de conformación de equipos haciendo uso de la biblioteca de clases de algoritmos metaheurísticos BICIAM. Se describe el modelo utilizado para representar el problema. Haciendo uso de la biblioteca de clases BICIAM se implementa el problema de conformación de equipos. Se realizan pruebas con datos que simul...

In the optimization field there are a number of problems called NP, which are those that can be solved by a nondeterministic polynomial time algorithm for a resolution. Because the real world is not static, but dynamic, the need to bring these problems to test reality is created, hence arise dynamic optimization problems (PODs). One of the classic...

An open question that arises in the design of adaptive schemes for Dynamic Optimization Problems consists on deciding what to do with the knowledge acquired once a change in the environment is detected: forget it or use it in subsequent changes? In this work, the knowledge is associated with the selection probability of two local search operators i...

Hardware/Software partitioning (HSP) is a key task for embedded system co-design. The main goal of this task is to decide which components of an application are to be executed in a general purpose processor (software) and which ones, on a specific hardware, taking into account a set of restrictions expressed by metrics. In last years, several appro...

Hardware/Software partitioning (HSP) is a key task for embedded system co-design. The main goal of this task is to decide which components of an application are to be executed in a general purpose processor (software) and which ones, on a specific hardware, taking into account a set of restrictions expressed by metrics. In last years, several appro...

Hardware/software partitioning is a key task for embedded system co-design. The main goal of this task is to decide which components of an application will be executed in a general purpose processor (software) and which ones on a specific hardware. In last years, several approaches have been proposed for solving the HSP problem, directed by metaheu...