Juan Perez

University of the Andes (Chile) | UANDES · Faculty of Engineering and Applied Sciences

The Santiago Fire Department (from here referred to as SFD) lacks a fleet management strategy since their vehicles remain allocated in fixed fire stations, while the presence of seasonal patterns suggests that the frequency of events changes according to their geographical distribution. This fact has led to inequitable service in terms of response...

Defining prices and in which consumers’ segments to put the company’s efforts within competitive markets selling bundles is challenging. On the one hand, methodologies focused on competition are usually appropriate for analyzing market dynamics but not for helping decision makers in specific tasks regarding pricing. On the other hand, simplistic co...

We formulate a bi-objective distribution model for urban trips constrained by origins and destinations while maximizing entropy. We develop a flexible and consistent approach in which the estimations of generated/attracted parameters are fuzzy with entropic membership functions. Based on a fuzzy-entropy approach, we measure the uncertainty associat...

Traffic pumping is a type of fraud committed in several countries, in which small telephone operators inflate the number of incoming calls to their networks, profiting from a higher access charge in relation to the network operator associated with the origin of the call. The identification of traffic pumping is complex due to the lack of labels for...

We propose a model to design bundles’ composition under competition, quantifying its effect in terms of profit and market share in a game among competing firms. According to our literature review, no previous models on optimal bundle composition can handle the competition as we do in this paper. Besides, we explain how a firm designing multiple bun...

The design of an integrated network with decisions about tactical transportation and strategic locations is complicated and challenging. In addition to the need to consider cost issues, the consumers’ preferences will also have a significant impact on the resulting network. We propose an integrated transportation and location optimization model for...

The purpose of this paper is to report a pricing and retail location model using the constrained multinomial logit (CMNL), which takes into account customers' utility and maximum willingness to pay via cut-off soft-constraints. The proposed model is probabilistic and non-linear, therefore a PSO metaheuristic approach was designed to determine the m...

In the current copper mining scenario, where prices are decreasing and pits are larger, there is a pressing need for increasing operational productivity. This is particularly important for mining contractors, who are constantly facing the additional pressure of obsolescence if they are not able to provide cost-savings for mine owners. In this paper...

n this paper, we propose a profit-driven approach for classifier construction and simultaneous variable selection based on linear Support Vector Machines. The main goal is to incorporate business-related information such as the variable acquisition costs, the Type I and II error costs, and the profit generated by correctly classified instances, int...

In this work we propose two formulations based on Support Vector Machines for simultaneous classification and feature selection that explicitly incorporate attribute acquisition costs. This is a challenging task for two main reasons: the estimation of the acquisition costs is not straightforward and may depend on multivariate factors, and the inter...

In this paper, we propose an extension of the problem of bundling with multinomial logit, making an explicit inclusion of the consumers’ maximum willingness to pay (MWTP) by means of the constrained multinomial logit (CMNL). In the bundling problem, we determine the price and the composition of bundles offered for a single segment of consumers by a...

The geographical distribution of the population of the city of Santiago, Chile, has changed significantly in recent years. In spite of this fact, the location of the fire stations has remained unchanged. We propose a model for the optimal location of the fire stations and a fleet assignment for the Santiago Fire Department (SFD), aimed at maximisin...

The performance of classification methods, such as Support Vector Machines, depends heavily on the proper choice of the feature set used to construct the classifier. Feature selection is an NP-hard problem that has been studied extensively in the literature. Most strategies propose the elimination of features independently of classifier constructio...

This paper presents a formulation of the Optimal Power Flow problem with an explicit modeling of Static Var Compensator (SVC) and Unified Power Flow Controller (UPFC) devices. The optimization problem is solved by using Sequential Quadratic Programming, where two convergence criteria and four different methods are studied to solve the quadratic sub...

Resumen: En este trabajo se presenta el problema de la tarificación de los sistemas de transmisión eléctrica. Se mencionan las características deseables que debiera tener un esquema de tarificación de los sistemas de transmisión (ETST) y se presenta formalmente una clasificación general para los diferentes esquemas existentes. Se discuten algunas c...

Resumen El objetivo principal de este estudio es formular en forma extendida el problema del Flujo de Potencia Óptimo (OPF), representando explícitamente los equipos Compensadores Estáticos Regulables (SVC). El problema es resuelto utilizando Programación Cuadrática Secuencial (SQP). El modelo fue implementado computacionalmente, e incluido en un s...