Analítica y Cadenas de Suministro
URI permanente para esta comunidad
Proponer soluciones innovadoras en estas áreas a través del desarrollo de investigaciones en campos como la estadística, probabilidad, procesos estocásticos, optimización, modelación y simulación. Estas investigaciones tienen como finalidad mejorar la toma de decisiones, optimizar recursos y procesos, y fomentar la transferencia de conocimiento y tecnología hacia las organizaciones y la academia, impactando tanto en el ámbito nacional como internacional. El plan de trabajo del grupo se centrará en fortalecer su posicionamiento como un referente nacional e internacional en Analítica y Gestión de Cadenas de Suministro.
Líneas de investigación: Analítica; Gestión de la cadena de suministro.
Código Minciencias: COL0016229.
Categoría 2021: A1.
Escuela: Ciencias Aplicadas e Ingeniería.
Líder: Paula Alejandra Escudero Marín.
Correo electrónico: pescuder@eafit.edu.co
Fusión de los grupos: Modelado Matemático y Gestión de Producción y Logística (2025)
Líneas de investigación: Analítica; Gestión de la cadena de suministro.
Código Minciencias: COL0016229.
Categoría 2021: A1.
Escuela: Ciencias Aplicadas e Ingeniería.
Líder: Paula Alejandra Escudero Marín.
Correo electrónico: pescuder@eafit.edu.co
Fusión de los grupos: Modelado Matemático y Gestión de Producción y Logística (2025)
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Ítem A Metaheuristic Approach for the Cumulative Capacitated Arc Routing Problem(Springer, 2018-09-12) Lenis, Sergio Andres; Carlos Rivera, JuanIn this paper we propose a new variant of the capacitated arc routing problem (CARP). In this new problem the objective function becomes a cumulative objective computed as the traveled distance multiplied by the vehicle load. A metaheuristic approachÍtem A Mixed-Integer Linear Programming Model for a Selective Vehicle Routing Problem(Springer International Publishing, 2018-09-03) Rivera, Juan Carlos; Posada, Andrea; PALACIO, JUAN DAVIDPublicación A multi-objective evolutionary approach to improve the environmental performance of a supply chain(Institute of Industrial Engineers, 2017-01-01) Ozden S.G.; Vélez-Gallego M.C.; Universidad EAFIT. Departamento de Ingeniería de Producción; Gestión de Producción y LogísticaThe problem of improving the environmental performance of a supply chain without entailing excessive cost is becoming a frequent problem as companies face an increasing pressure from governments and customers for reducing the environmental impact of their activities. As the environmental improvement of an operating supply chain implies not only technology upgrading decisions, but also decisions regarding the structure of the supply chain itselfPublicación A variable block insertion heuristic for permutation flowshops with makespan criterion(Institute of Electrical and Electronics Engineers Inc., 2017-01-01) Tasgetiren M.F.; Pan Q.-K.; Kizilay D.; Velez-Gallego M.C.; Universidad EAFIT. Departamento de Ingeniería de Producción; Gestión de Producción y LogísticaThis paper proposes a populated variable block insertion heuristic (PVBIH) algorithm for solving the permutation flowshop scheduling problem with the makespan criterion. The PVBIH algorithm starts with a minimum block size being equal to one. It removes a block from the current solution and inserts it into the partial solution randomly with a predetermined move size. A local search is applied to the solution found after several block moves. If the new solution generated after the local search is better than the current solution, it replaces the current solution. It retains the same block size as long as it improves. Otherwise, the block size is incremented by one and a simulated annealing-type of acceptance criterion is used to accept the new solution. This process is repeated until the block size reaches at the maximum block size. In addition, we present a randomized profile fitting heuristic with excellent results. Extensive computational results on the Taillard's well-known benchmark suite show that the proposed PVBIH algorithm substantially outperforms the differential evolution algorithm (NS-SGDE) recently proposed in the literature. © 2017 IEEE.Publicación A variable neighborhood search algorithm to minimize the total weighted tardiness on a batch processing machine(Revista Ingeniería Industrial, 2011-08-11) López Jiménez, Juan Diego; Vélez Gallego, Mario César; López Jiménez, Juan Diego; Vélez Gallego, Mario César; Universidad EAFIT. Departamento de Ingeniería de Producción; marvelez@eafit.edu.co; Gestión de Producción y LogísticaThis paper presents the results of a research project conducted to solve a production scheduling problem observed in a system in which meeting customer due dates is the primary objective -- Each job to be scheduled is defined by its processing time, ready time, due date, weight and size -- The Batch Processing Machine (BPM) can process several jobs simultaneously as a batch as long as its capacity is not violated -- The processing time of a batch is the largest processing time among the jobs in the batch, and the batch ready time is the largest ready time among the jobs in the batch -- Given that the problem is NP-hard we propose a Variable Neighborhood Search (VNS) heuristic to minimize the total weighted tardiness on a single BPM -- The computational experiments conducted to assess the quality of the solutions found show that in a computational time restricted to a maximum of 30 minutes, the proposed heuristic finds solutions considerably better than the solutions obtained after implementing a mixed integer programming model available in the literature in a commercial solverPublicación ABC Multi-Classifier: A Simple Tool for Multi Criteria ABC Analysis.(Universidad de Los Andes, 2010-07-23) Castro Zuluaga; Castro; Jaime; Rodriguez; Manuel; Universidad EAFIT. Departamento de Ingeniería de Producción; Gestión de Producción y LogísticaOrganizations have many stock keeping units (sku?s) that must be controlled for inventory purposes. In order to have an efficient control of all of themÍtem Adaptive Architecture to Support Context-Aware Collaborative Networked Virtual Surgical Simulators (CNVSS)(2014-01-01) Diaz Leon, Christian Andres; Gomez, H.T.; Lucia Quintero M, O.; Acosta Maya, D.A.; Sakti SrivastavaStand-alone and networked surgical virtual reality based simulators have been proposed as means to train surgical skills with or without a supervisor nearby the student or trainee. However, surgical skills teaching in medicine schools and hospitals...Ítem Adaptive architecture to support context-aware Collaborative Networked Virtual Surgical Simulators (CNVSS)(SPRINGER, 2014-01-01) Diaz, C.; Trefftz, H.; Quintero, L.; Acosta, D.; Srivastava, S.; Diaz, C.; Trefftz, H.; Quintero, L.; Acosta, D.; Srivastava, S.; Universidad EAFIT. Departamento de Ciencias; Modelado MatemáticoStand-alone and networked surgical virtual reality based simulators have been proposed as means to train surgical skills with or without a supervisor nearby the student or trainee. However, surgical skills teaching in medicine schools and hospitals is changing, requiring the development of new tools to focus on: (i) importance of mentors role, (ii) teamwork skills and (iii) remote training support. For these reasons a surgical simulator should not only allow the training involving a student and an instructor that are located remotely, but also the collaborative training session involving a group of several students adopting different medical roles during the training session. Collaborative Networked Virtual Surgical Simulators (CNVSS) allow collaborative training of surgical procedures where remotely located users with different surgical roles can take part in a training session. Several works have addressed the issues related to the development of CNVSS using various strategies. To the best of our knowledge no one has focused on handling heterogeneity in collaborative surgical virtual environments. Handling heterogeneity in this type of collaborative sessions is important because not all remotely located users have homogeneous Internet connections, nor the same interaction devices and displays, nor the same computational resources, among other factors. Additionally, if heterogeneity is not handled properly, it will have an adverse impact on the performance of each user during the collaborative session. In this paper we describe the development of an adaptive architecture with the purpose of implementing a context-aware model for collaborative virtual surgical simulation in order to handle the heterogeneity involved in the collaboration session. © 2014 Springer International Publishing.Ítem Adaptive System for the Generation of Emerging Behaviors in Serious Emerging Games(Instituto Politecnico Nacional, 2020-01-01) Aguilar, Jose; Altamiranda, Junior; Diaz, Francisco; Universidad EAFIT. Escuela de Ciencias; Modelado MatemáticoA video game adaptation system (SAV) for serious emergent games (JSE), allows emergent behaviors in the game, such as the appearance of environments, events, narratives and characters, among others, in order to adapt to the context in the one that is developing. In previous articles the architecture of a JSE engine has been proposed. Furthermore, a first subsystem has been proposed that allows the emergence of a JSE according to the objectives of the environment, based on the ant colony optimization algorithm (ACO). In the present work, the second component of said architecture is specified, the SAV, which allows its dynamic adaptation (during the JSE). The SAV is made up of the sub-layers of strategies, sequences and properties, which manage each of these types of possible emergencies in a JSE, with the intention of dynamically adapting it to the context-domain where the game is being played. Furthermore, in this work the behavior of these sublayers is analyzed in a specific case study, showing very encouraging results of SAV in the educational context of an intelligent classroom (SaCI).Publicación AFOR-TSM: A Tool for Forecast with Time Series Models(Inst of Industrial Engineers; Cdr edition, 2012-01-01) Castro Zuluaga; Builes; Rosana; Bravo; Maria Cristina; Universidad EAFIT. Departamento de Ingeniería de Producción; Gestión de Producción y LogísticaOne of the most complex and necessary subjects in courses of Operations Management (OM) is that students understand and apply Time Series Models (TSM) to forecast future demand.Ítem Airline choice model for an international round-trip flight considering outbound and return flight schedules(Warsaw University of Technology, 2020-01-01) Munoz C.; Laniado H.; Córdoba J.; Universidad EAFIT. Escuela de Ciencias; Modelado MatemáticoThis paper quantified the impact of outbound and return flight schedule preferences on airline choice for international trips. Several studies have used airline choice data to identify preferences and trade-offs of different air carrier service attributes, such as travel time, fare and flight schedule. However, estimation of the effect return flight schedules have on airline choice for an international round-trip flight has not yet been studied in detail. Therefore, this study introduces attributes related to return flight characteristics and round-trip flight schedule interaction into the airline choice models, which have not previously been reported in the literature. We developed a stated preference survey that includes round-trip fares based on flight schedule combinations and the number of days prior to departure fares was purchased. We applied modelling techniques using a set of stated preference data. A mixed logit model was tested for the presence of heterogeneity in passengers' preferences. Our results indicated that models with attributes related to return flight and its interaction with outbound flight attributes have a superior fit compared with models only based on attributes reported in the literature review. The model found shows that airfare, travel time, arrival preference schedule in the outward journey, departure preference in the return journey and the schedule combination of round-trip flight are significantly affecting passenger choice behaviour in international round-trip flights. Sensitivity analysis of airline service characteristics and their marketing implications are conducted. The analysis reports seven policies with the greatest impact on each airline choice probabilities. It shows that by reducing travel time and airfare and by adopting an afternoon and night schedule preference for outbound and return flight, respectively, the highest probability on airline choice would be reached. This research contributes to the current literature by enhancing the understanding of how passengers choose airlines, considering both outbound and inbound journey characteristics. Thus, this study provides an analytical tool designed to provide a better understanding of international round-trip flight demand determinants and support carrier decisions. © 2020 Warsaw University of Technology. All rights reserved.Publicación Allocation of intermediate buffer storage capacities in a production line(2013-07-24) Vélez Gallego, Mario César; Jaramillo Jiménez, Jhull B.; Universidad EAFIT. Departamento de Ingeniería de Producción; marvelez@eafit.edu.co; jjaram61@eafit.edu.co; Gestión de Producción y LogísticaIn this research proposal we consider a production line with random demand and subject to random failures at each workstation -- Every time a workstation fails, a corrective maintenance activity is triggered to repair the workstation -- In order to palliate the effect of the random failures in the performance of the system, intermediate buffers are placed in-between workstations -- An inventory holding cost that increases with the stage of the process is associated to each buffer -- The research objective in this work is to allocate capacity to each intermediate buffer in the line so that the average cost per time unit is minimized while the average service level is kept above a minimum value -- In this paper we assume that unsatisfied demand is lost and the service level is defined as the long term proportion of satisfied demand -- A greedy simulation–based heuristic is presented to find a feasible solution to the problem in a reasonable computational timeÍtem An alternative model to explain the vectorial capacity using as example Aedes aegypti case in dengue transmission(Elsevier BV, 2019-01-01) Catano-Lopez A.; Rojas-Diaz D.; Laniado H.; Arboleda-Sánchez S.; Puerta-Yepes M.E.; Lizarralde-Bejarano D.P.; Universidad EAFIT. Escuela de Ciencias; Modelado MatemáticoVectorial capacity (VC), as a concept that describes the potential of a vector to transmit a pathogen, has had historical problems related to lacks in dimensional significance and high error propagation from parameters that take part in the model to output. Hence, values estimated with those equations are not sufficiently reliable to consider in control strategies or vector population study. In this paper, we propose a new VC model consistent at dimensional level, i.e., the definition and the equation of VC have same and consistent units, with a parameter estimation method and mathematical structure that reduces the uncertainty in model output, using as a case of study an Aedes aegypti population of the municipality of Bello, Colombia. After a literature review, we selected one VC equation following biological, measurability and dimensional criteria, then we rendered a local and global sensitivity analysis, identifying the mortality rate of mosquitoes as a target component of the equation. Thus, we studied the Weibull and Exponential distributions as probabilistic models that represent the expectation of mosquitoes infective life, intending to include the best distribution in a selected VC structure. The proposed mortality rate estimation method includes a new parameter that represents an increase or decrease in vector mortality, as it may apply. We noticed that its estimation reduces the uncertainty associated with the expectation of mosquitoes' infective life expression, which also reduces the output range and variance in almost a half. Virology; Applied mathematics; Health sciences; Epidemiology; Infectious disease; Mortality; Uncertainty analysis; Vectorial capacity; Sensitivity analysis; Dengue © 2019 The AuthorsPublicación An approach for printing the maximum possible number of images(Institute of Industrial Engineers, 2017-01-01) Rojas-Santiago M.; Barbosa R.C.; Muthuswamy S.; Hulett M.; Velez-Gallego M.C.; Universidad EAFIT. Departamento de Ingeniería de Producción; Gestión de Producción y LogísticaThis paper considers a real life application of a printing process in a lithographic company that manufactures food packaging bags. The focus area of this problem is to print a variety of 2D images of bags on a surface area for maximum press layouts, with a constraint that the orientation of all bags is fixed and they should be placed parallel to the edges of the impression material. The problem under study is NP-hard and is an extension of the classical knapsack problem. An algorithm to maximize the number of rectangular images of bags that can be placed within the printing material is proposed. The results were compared with a Particle Swarm Optimization (PSO) metaheuristic. Several numerical experiments show that our procedure outperforms the PSO algorithm and improves the lithography's performance.Ítem An approach to emotion Recongnition in Single-channel EEG Singgnals using Stationar Wavelet Tansform(Springer, 2016-10-26) Gomez, Alejandro; Lucia Quintero M, O.; lopez, Natalia; Castro, Jaime; Mejia, GonzaloThe Regional Council of Biomedical Engineering for Latin America (CORAL) will host the VII Latin-American Congress of Biomedical Engineering (CLAIB 2016), October 26 – 28, 2016 at the Universidad Autónoma de Bucaramanga, Colombia. Special events of the coPublicación An approach to make statistical forecasting of products with stationary/seasonal patterns(Production and Operations Management Society (POMS), 2014-05-09) Castro-Zuluaga, Carlos A.; Botero-Escobar, Sara C.; Universidad EAFIT. Departamento de Ingeniería de Producción; ccastro@eafit.edu.co; sboter11@eafit.edu.co; Gestión de Producción y LogísticaAt any company there are hundreds, maybe thousands of products that must be forecasted with the best accuracy, in order to make a good demand management process, which are required at all planning levels in a company -- Statistical forecasting must be done fast and sometimes there are not enough resources to do it well -- In In this paper we make a proposal of an approach to define the parameter of the exponential smoothing model for products with a behavior pattern stationary or seasonal/stationary in the historical data, to obtain “good forecasting" A numerical example is used to show the effectiveness of the proposed methodÍtem Análisis de estrategias óptimas de pago de dividendos cuando el excedente sigue un proceso Browniano Drift(Universidad EAFIT, 2013) Marín, Juan Sebastian; Zuluaga, Francisco; Universidad EAFIT. Escuela de Ciencias. Grupo de Investigación Modelado MatemáticoIn this paper, we study the case when the surplus of an insurance company behaves according to a Brownian Drift motion, subsequently we derive the modified surplus dynamics assuming both a barrier strategy and a continuous payment strategy in order to determine the optimal parameters which make that each of these strategies maximize the mathematical expectation of the present value of the discounted dividends. In addition, we compare the results obtained with a continuous payment strategy with those obtained with a barrier strategy. The numerical experiments suggest that the barrier strategy is more profitable than the continuous payment one under different constellations of parameters (including different levels of volatility), and therefore it may be concluded that independently of the risk aversion profile of the investor, if he decides to invest, then he will always prefer his dividends to be paid according with a barrier strategy.Ítem Análisis de señales de audio utilizando la transformada de Gabor(Universidad EAFIT, 2014) Giraldo Cuartas, D.; Quintero, O. L.; Universidad EAFIT. Escuela de Ciencias. Grupo de Investigación Modelado MatemáticoÍtem Análisis de Singularidades usando la transformada Wavelet(Universidad EAFIT, 2014) Giraldo Cuartas, D.; Quintero, O. L.; Universidad EAFIT. Escuela de Ciencias. Grupo de Investigación Modelado MatemáticoÍtem Análisis Y Proyección de la Demanda por Educación Superior en la Ciudad de Medellín para los Próximos Años Mediante Dinámica de Sistemas(Hugo Hernando Andrade Sosa, 2009-09-11) Quintero Ortiz Luis Antonio; Mira, Jhon FredyDiversas tendencias marcarán la dinámica demográfica de una ciudad como Medellín en los próximos años. Esto tiene influencia en la demanda por educación superior, pues se entrelazan múltiples determinantes, tanto de índole socioeconómico