Olivares-Benitez, Elias
Main Affiliation
Preferred name
Olivares-Benitez, Elias
Official Name
Olivares Benítez, Elias
ORCID
0000-0001-7943-3869
Researcher ID
R-7075-2018
Scopus Author ID
55574580400
50 results
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Item type:Publication, A Memetic Algorithm for the Cumulative Capacitated Vehicle Routing Problem Including Priority Indexes(2020); ;Gutiérrez, Sebastián; <jats:p>This paper studies the Cumulative Capacitated Vehicle Routing Problem, including Priority Indexes, a variant of the classical Capacitated Vehicle Routing Problem, which serves the customers according to a certain level of preference. This problem can be effectively implemented in commercial and public environments where customer service is essential, for instance, in the delivery of humanitarian aid or in waste collection systems. For this problem, we aim to minimize two objectives simultaneously, the total latency and the total tardiness of the system. A Mixed Integer formulation is developed and solved using the AUGMECON2 approach to obtain true efficient Pareto fronts. However, as expected, the use of commercial software was able to solve only small instances, up to 15 customers. Therefore, two versions of a Memetic Algorithm with Random Keys (MA-RK) were developed to solve the problem. The computational results show that both algorithms provided good solutions, although the second version obtained denser and higher quality Pareto fronts. Later, both algorithms were used to solve larger instances (20–100 customers). The results were mixed in terms of quality but, in general, the MA-RK v2 consistently outperforms the first version. The models and algorithms proposed in this research provide useful insights for the decision-making process and can be applied to solve a wide variety of business situations where economic, customer service, environmental, and social concerns are involved.</jats:p>Scopus© Citations 14 1 10 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, An Analysis and Design for the Repair Process of Late Show Shipments in the Export Cargo Process at SPL HUB(2022) ;Sjoerd van Rooden ;Catya Zuniga ;Bart Krol1 7 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The Cumulative Capacitated Vehicle Routing Problem Including Priority Indexes(2020) ;Karina Corona-Gutiérrez; ; Scopus© Citations 1 1 6 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, 1 34Scopus© Citations 3 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The Capacitated Lot Sizing Problem with Batch Ordering: A MILP and Heuristic Approach(2019) ;Macedo Barragán, Gustavo; ; 1 11 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Implementation of Lean Manufacturing to Reduce the Delivery Time of a Replacement Part to Dealers: A Case Study(2019) ;Carlos Eleazar Pérez-Pucheta; ;Hertwin Minor-Popocatl ;Prudencio Fidel Pacheco-GarcíaMarcos 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 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Multiobjective model to optimize charging station location for the decarbonization process in Mexico(2025) ;Ruiz Barajas, Francisco; ;Adrian Ramirez‐NafarrateRosa 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>37 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A Capacitated Vehicle Routing Model for Distribution and Repair with a Service Center(MDPI, 2025) ;Irma-delia Rojas-cuevas; ; <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>18 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A Two-Phase Heuristic and Genetic Algorithm for the Heterogeneous Fleet Vehicle Routing Problem(Springer Nature Switzerland, 2026) ;Acosta-Quintana, Maria Paz Guadalupe; ;Bueno-Solano, AlfredoLagarda-Leyva, Ernesto AlonsoThis 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. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Secuenciación de trabajos en una línea de SMT con enfoque multiobjetivoA 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.21
