Jésica de Armas

Jésica de Armas
University Pompeu Fabra | UPF · Department of Economy and Business

PhD in Computer Science

About

66
Publications
21,501
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878
Citations
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September 2017 - September 2023
University Pompeu Fabra
Position
  • Professor

Publications

Publications (66)
Article
Full-text available
With the continuous increase in longevity worldwide, the elderly population requiring home health and social care has been continuously growing over the years. Planning combined home health and social services has been shown to be a very difficult task for current decision-makers, not only due to the high number of working regulations and user-rela...
Article
Full-text available
Metaheuristics are found to be efficient in different applications where the use of exact algorithms becomes short-handed. In the last decade, many of these algorithms have been introduced and used in a wide range of applications. Nevertheless, most of those approaches share similar components leading to a concern related to their novelty or contri...
Article
Full-text available
The location of primary public schools in urban areas of developing countries is the focus of this study. In such areas, new schools and modification of the current schools are required, and this process should be developed using rational and broad supporting tools for decision makers, such as optimization models. We propose a realistic coverage lo...
Chapter
This paper presents a solution for a real world roadside assistance problem. Roadside assistance companies must allocate their specialised resources to minimize the operating cost associated with servicing when incidents occur. In this process, the location of these resources plays an important role. Therefore, this work proposes a study on the for...
Article
Full-text available
This paper presents a solution for a real-world roadside assistance problem. Roadside incidents can happen at any time. Depending on the type of incident, a specific resource from the roadside assistance company can be sent on site. The problem of allocating resources to these road-side incidents can be stated as a multi-objective function and a la...
Article
Full-text available
The combination of increasing life spans and low birth rates is accelerating the pace at which the share of older adults in the population worldwide is rising. As people age, their autonomy tends to decrease which leads frequently to the need to use support equipment to perform their daily living activities. Governments, at all levels, are establis...
Article
Full-text available
Health care is a pillar of modern society. This study focuses on the use of descriptive analytics to provide demographic and territorial insights that will be of strategic importance in planning subsequent projects meant to improve health care services. We especially focus on the assessment of the elder and disabled population health care needs in...
Article
Full-text available
In this work, we establish a methodological framework to analyze the care demand for elderly citizens in any area with a large proportion of elderly population, and to find connections to the cumulative incidence of COVID-19. Thanks to this analysis, it is possible to detect deficiencies in the public elderly care system, identify the most disadvan...
Article
We develop a solution procedure for a production problem that involves the optimal lot-sizing and scheduling of multiple products on parallel machines over a long planning horizon. The objective is to determine the product assignment, production quantities, and production sequence on each machine in order to meet demand and maximise the total produ...
Article
Full-text available
The management of container flows is one of the most challenging tasks for terminal managers. In this regard, the freights inside the containers have to be transported towards their requesting companies. This delivery is subject to many factors such as the vessel berthing time, yard assignment, time windows of the companies, availability of interna...
Article
Full-text available
Changing conditions and variations in the demand are frequent in real industrial environments. Decision makers have to take into account this uncertainty and manage it properly. One clear example is the automotive industry where manufacturers have to assume an uncertain and heterogeneous demand. For instance, automotive manufacturers must adapt the...
Article
Full-text available
This paper discusses the Time Capacitated Arc Routing Problem (TCARP) and introduces a heuristic and a metaheuristic algorithm for solving large-size instances of it. The TCARP is a realistic extension of the Capacitated Arc Routing Problem in which edge-servicing and edge-traversing costs, as well as vehicle capacities, are all time-based—i.e., gi...
Article
Full-text available
Globalization and advances in information and communication technologies have boosted the use of Horizontal Cooperation (HC) practices in many industry sectors. In the current international market, these 'alliances' become especially relevant for small and medium organizations, which are forced to compete with large-scale corporations. This paper a...
Chapter
Maritime container terminals are essential infrastructures in global supply chains. Their high management complexity and heterogeneous processes make them an interesting field to apply heuristics. A brief overview of the main optimization problems found at maritime container terminals and a review of the way they are related to each other are first...
Data
Appendices for “Managerial and industrial benefits of using robust multiobjective optimization for balancing an automotive assembly line”
Article
Vendor managed inventory aims at reducing supply chain costs by centralizing inventory management and vehicle routing decisions. This integrated supply chain approach results in a complex combinatorial optimization problem known as the inventory routing problem (IRP). This paper presents a variable neighborhood search metaheuristic hybridized with...
Article
The hub location problem has gained attention over the last decades. In telecommunications network, a hub is a place of concurrence in where the work of the network is centralized with the purpose of delivering out the data that arrives from one or more directions to other destinations. There are different versions of the hub location problem depen...
Article
This paper considers the non-smooth arc routing problem (NS-ARP) with soft constraints in order to capture in more perceptive way realistic constraints violations arising in transportation and logistics. To appropriately solve this problem, a biased-randomized procedure with iterated local search (BRILS) and a mathematical model for this ARP varian...
Article
The inventory routing problem (IRP) combines inventory management and delivery route‐planning decisions. This work presents a simheuristic approach that integrates Monte Carlo simulation within a variable neighborhood search (VNS) framework to solve the multiperiod IRP with stochastic customer demands. In this realistic variant of the problem, our...
Chapter
Facility Location Problems (FLPs) have been widely studied in the fields of Operations Research and Computer Science. This is due to the fact that FLPs have numerous practical applications in different areas, from logistics (e.g., placement of distribution or retailing centers) to Internet computing (e.g., placement of cloud-service servers on a di...
Article
Recent advances in the telecommunication industry offer great opportunities to citizens and organizations in a globally connected world, but they also arise a vast number of complex challenges that decision makers must face. Some of these challenges can be modeled as combinatorial optimization problems (COPs). Frequently, these COPs are large-size,...
Article
Volunteer computing is a type of distributed computing in which a part or all the resources (processing power and storage) necessary to run the system are donated by users. In other words, participants contribute their idle computing resources to help running the system. Due to the fact that the nodes which compose the system are provided by a larg...
Article
Full-text available
This paper proposes a multi-start randomized heuristic for solving real-life crew rostering problems in airlines. The paper describes realistic constrains, regulations, and rules that have not been considered in the literature so far. Our algorithm is designed to provide quality solutions satisfying these real-life specifications while, at the same...
Conference Paper
Telecommunication network-design problems have gained attention over the last decades. Among them, the problem looking for a network design that minimizes total costs, while satisfying users’ demands is well-known. This is the particular case of the Hub Location Problem (HLP). In data communications, a hub is a place of convergence where data arriv...
Article
Full-text available
Catastrophe bonds are financial instruments designed to transfer risk of monetary losses arising from earthquakes, hurricanes, or floods to the capital markets. The insurance and reinsurance industry, governments, and private entities employ them frequently to obtain coverage. Parametric catastrophe bonds base their payments on physical features. F...
Article
Randomized heuristics are widely used to solve large scale combinatorial optimization problems. Among the plethora of randomized heuristics, this paper reviews those that contain biased-randomized procedures (BRPs). A BRP is a procedure to select the next constructive ‘movement’ from a list of candidates in which their elements have different proba...
Article
This paper analyzes the role of horizontal collaboration (HC) concepts in urban freight transportation under uncertainty scenarios. The paper employs different stochastic variants of the well-known vehicle routing problem (VRP) in order to contrast a non-collaborative scenario with a collaborative one. This comparison allows us to illustrate the be...
Article
Full-text available
This paper reviews the existing literature on the combination of metaheuristics with machine learning methods and then introduces the concept of learnheuristics, a novel type of hybrid algorithms. Learnheuristics can be used to solve combinatorial optimization problems with dynamic inputs (COPDIs). In these COPDIs, the problem inputs (elements eith...
Chapter
Maritime container terminals are essential infrastructures in global supply chains. Their high management complexity and heterogeneous processes make them an interesting field to apply heuristics. A brief overview of the main optimization problems found at maritime container terminals and a review of the way they are related to each other are first...
Article
The uncapacitated facility location problem (UFLP) is a popular combinatorial optimization problem with practical applications in different areas, from logistics to telecommunication networks. While most of the existing work in the literature focuses on minimizing total cost for the deterministic version of the problem, some degree of uncertainty (...
Conference Paper
Various complex decision making problems are related to airline planning. In the competitive airline industry, efficient crew scheduling is hereby of major practical importance. This paper presents a metaheuristic approach based on biased randomization to tackle the challenging Crew Pairing Problem (CPP). The objective of the CPP is the establishme...
Conference Paper
In the face of sharp urbanization around the world, metropolitan areas have started different initiatives and projects to make cities more efficient and sustainable. Hereby logistics and transportation activities have a major impact in the development of so called ‘Smart Cities’. By addressing complex decision making problems through simulation and...
Article
Full-text available
Current logistics and transportation (L&T) systems include heterogeneous fleets consisting of common internal combustion engine vehicles as well as other types of vehicles using "green" technologies, e.g., plug-in hybrid electric vehicles and electric vehicles (EVs). However, the incorporation of EVs in L&T activities also raise some additional cha...
Chapter
Combinatorial optimization has been a workhorse of financial and risk management, and it has spawned a large number of real-life applications. Prominent in this body of research is the mean-variance efficient frontier (MVEF) that emanates from the portfolio optimization problem (POP), pioneered by Harry Markowitz. A textbook version of POP minimize...
Chapter
The insurance and reinsurance industry, some governments, and private entities employ catastrophe (CAT) bonds to obtain coverage for large losses induced by earthquakes. These financial instruments are designed to transfer catastrophic risks to the capital markets. When an event occurs, a Post-Event Loss Calculation (PELC) process is initiated to d...
Article
Full-text available
Sea freight transportation involves moving huge amounts of freights among maritime locations widely spaced by means of container vessels. The time required to serve container vessels is the most relevant indicator when assessing the competitiveness of a maritime container terminal. In this paper, two main logistic problems stemming from the transsh...
Article
This paper addresses the Ship Routing and Scheduling Problem with Discretized Time Windows. Being one of the most relevant and challenging problems faced by decision makers from shipping companies, this tramp shipping problem lies in determining the set of contracts that should be served by each ship and the time windows that ships should use to se...
Article
A Dynamic Rich Vehicle Routing Problem with Time Windows has been tackled as a real-world application, in which customers requests can be either known at the beginning of the planning horizon or dynamically revealed over the day. Several real constraints, such as heterogeneous fleet of vehicles, multiple and soft time windows and customers prioriti...
Article
In this paper, we address the Stacking Problem. Its objective is to determine the sequence of movements carried out by a stacking crane to store and retrieve a set of homogeneous blocks in a two-dimensional storage during a well-defined planning horizon in such a way that the number of relocation movements is minimized. We propose a heuristic algor...
Article
Rich Vehicle Routing Problems are vehicle routing problems (VRPs) that deal with additional constraints, which aim to better take into account the particularities of real-world applications. They combine multiple attributes, which constitute a complement to the traditional models. This work proposes an adaptive solution method based on metaheuristi...
Conference Paper
This paper addresses the management of container flows in a maritime container terminal. In this context, we propose a multi-stage approach that allows to provide a complete schedule of the container flows from their arrival within container vessels to their delivery to receiving companies. Our proposed approach is aimed at minimizing the total max...
Article
This paper tackles two variants of a Dynamic Vehicle Routing Problem with Time Windows as real-world applications of several companies in the Canary Islands, Spain. In these dynamic vehicle routing problems, customer requests can be either known at the beginning of the planning horizon or dynamically revealed over it. Particularly, the problems cor...
Conference Paper
This paper tackles a Restricted Dynamic Heterogeneous Fleet Vehicle Routing Problem with Time Windows as a real-world application of a courier service company in the Canary Islands, Spain. In this particular application of the Vehicle Routing Problem with Time Windows (VRPTW), customer requests can be either known at the beginning of the planning h...
Conference Paper
This work presents a multi-objective approach to solve the Container Loading Problem. The single-objective formulation of the problem has been widely studied in the related literature, trying to optimise the total volume of the packed pieces into the container. However, a rather common aspect in the scope of this problem is the weight limit of the...
Article
This work introduces several improvements in the solution of the Constrained 2D Cutting Problem. Such improvements combine the detection of dominated and duplicated cutting patterns with the implementation of parallel approaches for best-first search methods. The analysis of symmetries and dominances among the cutting patterns is able to discard so...
Conference Paper
This work presents a multi-objective approach to solve a Constrained Guillotine Two-Dimensional Cutting Stock Problem. The single-objective formulation of the problem has been widely studied in the related literature, so a large number of heuristics, meta-heuristics, and exact algorithms have been proposed in order to optimise the total profit obta...
Conference Paper
Most research on Strip Packing and Cutting Stock problems are focused on single-objective formulations of the problems. However, in this work we deal with more general and practical variants of the problems, which not only seeks to optimise the usage of the raw material, but also the overall production process.The problems target the cutting of a l...
Conference Paper
This work presents a multi-objective approach to solve the Constrained 2D Cutting Stock Problem. The problem targets the cutting of a large rectangle of fixed dimensions in a set of smaller rectangles using orthogonal guillotine cuts. Although the problem is usually focused on a single objective, in this work we want to optimise the layout of recta...
Conference Paper
Most research on Strip Packing Problems is focused on the single-objective formulation of the problem. However, in this work we deal with a more general and practical variant of the problem, which not only seeks to optimize the usage of the raw material, but also the production process. For the problem solution, we have applied some of the most-kno...
Conference Paper
This work analyses two different approaches to parallelise an exact algorithm for the solution of the Constrained Two-Dimensional Cutting Stock Problem. A fine-grained model based on the parallel execution of the generation loops is implemented through a shared-memory model using the OpenMP tool. Also, a coarse-grained model based on the parallel e...
Article
Full-text available
This paper considers a real-world two-dimensional strip packing problem involving specific machinery constraints and actual cutting production industry requirements. To adapt the problem to a wider range of machinery characteristics, the design objective considers the minimisation of material length and the total number of cuts for guillotinable-ty...
Article
This paper presents the graphical user interface (GUI) for a remote service used to solve the 2D guillotine cutting stock problem as applied to the textile industry. This interface allows for the patterns in the regional dress of the city of La Orotava, in the Canary Islands, to be defined and manipulated. The user chooses the garment, quantity and...
Article
Full-text available
Resumen. Este artículo presenta una interfaz gráfica de usuario para la resolución del problema de corte bidimendional. Es sistema está aplicado a la industria textil, permitiendo la definición y manipulación de los patrones que componen el traje tradicional de las Islas Canarias. A través de los menús, el usuario ha de seleccionar la prenda que qu...

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Projects (3)
Project
As part of the Planetary Wellbeing Initiative of the UPF, the project analyses the changes that COVID-19 has induced in Catalan households’ waste generation and recycling behaviour. It aims to identify their sociodemographic and psychographic triggers and to develop environmental indicators of their effects on climate change. The research pays special attention to aspects with long-lasting effects and to contribute to the development of enhanced waste reduction/collection programs, to generate knowledge that contributes to the urgent need to mitigate the environmental impacts of waste to enhance Planetary Wellbeing
Archived project