Olivares-Benitez, Elias

Main Affiliation

Facultad de Ingeniería - CampGDL

Preferred name

Official Name

Olivares Benítez, Elias

ORCID

0000-0001-7943-3869

Researcher ID

R-7075-2018

Scopus Author ID

55574580400

Now showing 1 - 10 of 50

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Multiobjective model to optimize charging station location for the decarbonization process in Mexico
(2025)
Ruiz Barajas, Francisco
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Olivares-Benitez, Elias
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Adrian Ramirez‐Nafarrate
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Rosa G. González‐Ramírez
<jats:title>Abstract</jats:title><jats:p>Electric vehicles (EVs) offer significant potential for advancing sustainable environmental goals. However, their widespread adoption has been concentrated in urban areas, raising challenges for interurban travel. In many countries, charging station networks are primarily located within cities, highlighting a key opportunity for expansion to support longer distance journeys. This article addresses the facility location problem for EV charging stations to enable interurban travel. We propose a multiobjective optimization model based on the flow refueling location model with three objectives: maximizing CO<jats:sub>2</jats:sub> emissions reduction, minimizing total costs, and reducing user charging time. The model is solved using an epsilon constraint approach, and Mexico's charging station network is used as a case study. Through computational experiments, various scenarios are evaluated, and a comparative analysis is performed between electric and internal combustion vehicles. Results show that deploying 20 strategically located charging stations could mitigate 3.1 million tons of CO<jats:sub>2</jats:sub>, requiring an investment of nearly USD 3.9 million.</jats:p>
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A Two-Phase Heuristic and Genetic Algorithm for the Heterogeneous Fleet Vehicle Routing Problem
(Springer Nature Switzerland, 2026)
Acosta-Quintana, Maria Paz Guadalupe
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Olivares-Benitez, Elias
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Bueno-Solano, Alfredo
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Lagarda-Leyva, Ernesto Alonso
This document addresses the vehicle routing problem (VRP) for a heterogeneous fleet in different applications. A model for a heterogeneous fleet, suggested by Olivera (Heurísticas para problemas de ruteo vehículos, Universidad de la república, 2004), was adapted to consider the vehicle’s capacity in weight and volume. Different types of vehicles were used, increasing the number of variables; therefore, the solution of this model is limited by the increasing complexity of its combinations. As a result, the commercial software does not have the capacity to perform accurate calculations; in addition, computing time is longer for a single problem with more than a dozen clients. A two-phase heuristic method is presented as an alternative procedure to solve the VRP, as well as a meta-heuristic algorithm for the complexity of the problem from a genetic algorithm (GA) approach and its codification in a heterogeneous fleet, which allows the solution of great magnitudes and scales. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
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Exploration of a Generalized Benders Decomposition Method for Solving Project Scheduling Problems with Resource Constraints
(SCITEPRESS - Science and Technology Publications, 2025)
Ramos , Alfredo S
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Pablo Miranda-Gonzalez
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Olivares-Benitez, Elias
This research introduces a new Generalized Benders Decomposition-based Algorithm (GBDA) to solve the Multi-Mode Resource-Constrained Project Scheduling Problem (MRCPSP). The MRCPSP is a scheduling problem that besides precedence constraints, includes renewable and non-renewable resource constraints, as well as the selection of execution modes for the project activities. This mode selection determines the resource usage and duration of each activity. The GBDA splits the problem into a Master Problem (MP) and a Sub- Problem (SP) with a relaxation. Both problems are solved alternately, each one incorporating information from the other at each iteration, until a stopping criterion is met. Additionally, at each iteration, a non-relaxed SP is solved to obtain a solution for the original problem, and the best solution from all iterations is reported. The GBDA was tested, with three different stopping criteria, on benchmark instances from a public library and compared against solving the traditional formulation of the problem with an exact Mixed Integer Linear Programming (MILP) method. The GBDA found solutions of good quality in less than half the computing time than the exact method, with one of the stopping criteria. The analysis of the results provides valuable insights for future research.
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Secuenciación de trabajos en una línea de SMT con enfoque multiobjetivo
(Universidad Autónoma de Aguascalientes, 2023)
Olivares-Benitez, Elias
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Rojas, Omar
A partir de 1850, los sistemas productivos han evolucionado de forma muy rápida, especialmente a partir del último tercio del siglo xx, debido a la globalización y a la competencia empresarial, regida por la capacidad de los países para producir de manera más eficiente que los demás. De esta manera, estos países tienen dominio, a nivel mundial, de los ámbitos industrial y tecnológico; las naciones más desarrolladas son, por consecuencia, los Estados más ricos, en su mayoría producto de sus estrategias de producción. Esta situación es efecto, precisamente, de dicha evolución que incluye la administración de los sistemas, los procesos y la tecnología. En este sentido, cuando inició la revolución industrial, el esfuerzo del empresario se enfocó en lograr producir lo máximo posible, aun a costa de la seguridad de su personal. Sin embargo, esta forma de proceder tuvo que mejorar al avanzar el tiempo y desarrollar una mejor experiencia en actividades productivas, logrando la evolución e identificar así diferentes medios para lograr la administración de operaciones, a finales del siglo xix y principios del XX. La administración de operaciones tiene como razón de ser, la utilización de técnicas y metodologías que logren la coordinación de las áreas funcionales de la empresa con el área de producción. En esta administración se agrupan técnicas de mejora continua, control de producción, cuidado de la planta y la maquinaria, la logística de la empresa, así como la optimización de procesos, sin importar que sea empresa de bienes o servicios.
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The multi-depot open location routing problem with a heterogeneous fixed fleet
(2021)
Nucamendi-Guillén, Samuel
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Alejandra Gómez Padilla
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Olivares-Benitez, Elias
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J. Marcos Moreno-Vega
Scopus© Citations 27 1 27
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An Inventory Service-Level Optimization Problem for a Multi-Warehouse Supply Chain Network with Stochastic Demands
(2024)
Roberto León
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Pablo A. Miranda-Gonzalez
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Francisco J. Tapia-Ubeda
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Olivares-Benitez, Elias
<jats:p>This research aims to develop a mathematical model and a solution approach for jointly optimizing a global inventory service level and order sizes for a single-commodity supply chain network with multiple warehouses or distribution centers. The latter face stochastic demands, such as most real-world supply chains do nowadays, yielding significant model complexity. The studied problem is of high relevance for inventory management, inventory location, and supply chain network design-related literature, as well as for logistics and supply chain managers. The proposed optimization model minimizes the total costs associated with cycle inventory, safety stock, and stock-out-related events, considering a global inventory service level and differentiated order sizes for a fixed and known set of warehouses. Subsequently, the model is solved by employing the Newton–Raphson algorithm, which is developed and implemented assuming stochastic demands with a normal approximation. The algorithm reached optimality conditions and the convergence criterion in a few iterations, within less than a second, for a variety of real-world sized instances involving up to 200 warehouses. The model solutions are contrasted with those obtained with a previous widely employed approximation, where safety stock costs were further approximated and order sizes were optimized without considering stock-out-related costs. This comparison denotes valuable benefits without significant additional computational efforts. Thus, the proposed approach is suitable for managers of real-world supply chains, since they would be able to attain system performance improvements by simultaneously optimizing the global inventory service level and order sizes, thereby providing a better system cost equilibrium.</jats:p>
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Generalized Benders decomposition-based matheuristics for the multi-mode resource-constrained project scheduling problem
(Springer Science and Business Media LLC, 2025-03-13)
Ramos , Alfredo S
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Pablo A. Miranda-Gonzalez
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Olivares-Benitez, Elias
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Mendoza, Abraham
The multi-mode resource-constrained project scheduling problem is an NP-hard optimization problem with practical applications in construction, software development, manufacturing, and other industrial and business situations. It involves a set of activities that need to be sequenced while considering precedence and resource constraints as well as different alternative execution modes, which determine each activity’s duration and resource consumption. This research proposes three matheuristic strategies based on a reformulation and partial relaxation of the problem, including a generalized Benders decomposition (GBD)-based algorithm to solve the relaxed problem and three different procedures to find a solution to the original problem. The strategies were tested using benchmark instances of various sizes obtained from published libraries. These strategies showed a significant improvement in speed, achieving up to 92.77% faster performance than the exact method for finding high-quality sub-optimal solutions. This offers a valuable trade-off between computation time and solution quality. Additionally, the GBD-based algorithm generated tighter lower bounds than other existing methods in the literature for a substantial number of the tested instances, all within a very short computing time.
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A Capacitated Vehicle Routing Model for Distribution and Repair with a Service Center
(MDPI, 2025)
Irma-delia Rojas-cuevas
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Olivares-Benitez, Elias
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Ramos , Alfredo S
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Nucamendi-Guillén, Samuel
<jats:p>Background: Distribution systems often face the dual challenge of delivering products to customers and retrieving damaged items for repair, especially when the service center is separate from the depot. An optimized solution to this logistics problem produces benefits in terms of costs, greenhouse gas emissions, and disposal reduction. Methods: This research proposes a Capacitated Vehicle Routing Problem with Service Center (CVRPwSC) model to determine optimal routes involving customers, the depot, and the service center. AMPL-Gurobi was used to solve the model on adapted instances and new instances developed for the CVRPwSC. Additionally, a Variable Neighborhood Search (VNS) algorithm was implemented and compared with AMPL-Gurobi. Results: The model was applied to a real-world case study, achieving a 40% reduction in fuel costs, a reduction from 5 to 3 routes, and a sustainable logistics operations model with potential reductions of greenhouse gas emissions and item disposals. Conclusions: The main contribution of the proposal is a minimum-cost routing model integrating item returns for repair with customer deliveries, while the limitation is the exclusion of scenarios where return items exceed vehicle capacity. Finally, future research will enhance the CVRPwSC model by incorporating additional constraints and decision variables to address such scenarios.</jats:p>
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Implementation of Lean Manufacturing to Reduce the Delivery Time of a Replacement Part to Dealers: A Case Study
(2019)
Carlos Eleazar Pérez-Pucheta
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Olivares-Benitez, Elias
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Hertwin Minor-Popocatl
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Prudencio Fidel Pacheco-García
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Marcos Fernando Pérez-Pucheta
<jats:p>In today’s automotive industry, Lean production systems are used successfully to reduce delivery times. The current case study addresses a problem that affects an automotive company, which is the excessive delivery time of a spare part to its both national and international authorized dealers. In order to reduce the delivery time of this replacement part, the Lean Manufacturing methodology was used. For this purpose, the value stream mapping and the proposed A3 report are the tools used. With the use of these tools, activities that did not add any value are eliminated or modified; in addition, the logistical flow of the modules of the door-side trim panel delivery process is improved. As a result, added value is increased, the delivery time is reduced (for Mexico) and the number of product variants is reduced. Now, the painting process is done by the authorized dealers, and the number of pieces used for every spare part was estimated. The study demonstrates that the integration of value stream mapping administrative/productive in conjunction with the A3 report proposal allows to identify and eliminate waste in the delivery process.</jats:p>
Scopus© Citations 22 2 10
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Book of abstracts CLAIO/CSMIO 2024 conference
(Universidad Panamericana, 2024)
Olivares-Benitez, Elias
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Rodriguez-Escoto, Joel-Novi
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M. Angélica Salazar-Aguilar
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González-Ayala, Paulina
El Book of Abstracts CLAIO/CSMIO 2024 es un compendio que incluye los resúmenes de las ponencias y estudios presentados en el XXII Congreso Latino Iberoamericano de Investigación Operativa (CLAIO) y el XII Congreso de la Sociedad Mexicana de Investigación de Operaciones (CSMIO). Este evento, celebrado del 28 de octubre al 1 de noviembre de 2024 en Guadalajara, México, reúne a investigadores y profesionales de Latinoamérica que trabajan en diversos campos de la Investigación Operativa. El libro contiene una amplia variedad de trabajos enfocados en temas de optimización matemática, simulación, inteligencia artificial, logística, programación estocástica, aprendizaje automático, transporte, gestión de la cadena de suministro, entre otros. Se presentan metodologías innovadoras, modelos y aplicaciones prácticas en diferentes áreas como la salud, el transporte y la sostenibilidad.
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