Productos de investigación

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12585/8849

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A collaborative EPQ inventory model for a three-echelon supply chain with multiple products considering the effect of marketing effort on demand
(2020-06-01) Salas-Navarro, Katherine; Acevedo Chedid, Jaime; Florez, Whandy F.; Ospina-Mateus, Holman; Cárdenas-Barrón, Leopoldo; Sankar Sana, Shib
This paper presents an inventory model for a three-echelon supply chain with multiple products and multiple members considering the demand as an increasing function of the marketing effort. In the proposed inventory model, a collaborative approach is studied and an analytical method is applied to obtain the optimal production lot size and the optimal marketing effort in order to achieve the maximum profits. Some numerical examples are illustrated to justify the model. Moreover, a sensitivity analysis is well done in order to analysis the effect of the changes of key parameters of inventory model on the the maximum benefits of all members of the chain
A discrete-event simulation model with a collaborative and lean logistic approach application to a dairy industry
(2024-09-11) Salas-Navarro, Katherinne; Bustamante-Salazar, Angélica; Romero-Lambrano, Teresa; Ospina Mateus, Holman; Acevedo Chedid, Jaime; Sankar Sana, Shib
The research introduces a discrete-event simulation model that focuses on implementing a collaborative and lean logistic approach to enhance productivity and competitiveness within a supply chain. The model aims to improve processes in the supply chain by establishing more sustainable methods in production, transportation, and marketing activities. Additionally, a discrete-event simulation model has been created to represent a dairy supply chain and assess performance across various areas such as production activities, transportation, distribution, information systems, and indicators. The model utilizes Arena Simulation Software to depict processes, raw materials, suppliers, manufacturers, resources, products, and customers. It has been developed and validated through statistical comparison with real-world data. Furthermore, the current performance analysis has been computed, and scenarios have been defined to enhance infrastructure utilization, production capacity, collaboration, and lean logistic approaches. The study includes a case study of the dairy industry in Colombia to validate the model. The results indicate that collaborating with suppliers and implementing a new production line have significant benefits in strengthening the dairy sector, leading to improved production planning, the adoption of new technologies, increased incomes, and enhanced competitiveness in the industry.
A Mathematical Model for the Optimization of the Non-metallic Mining Supply Chain in the Mining District of Calamarí-Sucre (Colombia)
(2020-10-08) Ospina-Mateus, Holman; Montero-Perez, Jairo; Acevedo Chedid, Jaime; Salas-Navarro, Katherine
This article presents a mathematical model of the Supply chain of non-metallic mining. The model considers uncertainty scenarios in materials, elements for capacity planning in a multilevel chain and with multiple products. The mathematical model is collaborative and maximizes the profits of the actors in the supply chain. The model is implemented in Calamarí-Sucre mining district (Colombia). The scenario is applied to the extraction, processing, storage, and distribution of limestone. To solve the model, the GAMS software was used through libraries of relaxed mixed nonlinear programming - RMINLP and the DICOPT solver. The results indicate that the greatest benefits occur in a scenario of the high provision of raw materials. The equity in the economic benefits show a dynamics of vertical integration in the sector. The model applied to non-metallic mining complexes helps determine optimal strategies and decisions in different echelons.
An EPQ inventory model considering an imperfect production system with probabilistic demand and collaborative approach
(Emerald Group Publishing Ltd., 2019) Salas-Navarro K.; Acevedo Chedid, Jaime; Árquez G.M.; Florez W.F.; Ospina-Mateus H.; Sana S.S.; Cárdenas-Barrón L.E.
Purpose: The purpose of this paper is to propose an economic production quantity (EPQ) inventory model considering imperfect items and probabilistic demand for a two-echelon supply chain. The production process is imperfect and the imperfect quality items are removed from the lot size. The demand rate of the inventory system is random and follows an exponential probability density function and the demand of the retailers is depending on the initiatives of the sales team. Design/methodology/approach: Two approaches are examined. In the non-collaborative approach, any member of the supply chain can be the leader and takes decisions to optimize the profits, and in the collaborative system, all members make joint decisions about the production, supply, sales and inventory to optimize the profits of the supply chain members. The calculus approach is applied to find the maximum profit related to the members of the supply chain. Findings: A numerical example is presented to illustrate the performance of the EPQ model. The results show that collaborative approach generates greater profits to the supply chain and the market’s demand represents the variable behavior and uncertainty that is generated in the replenishment of a supply chain. Originality/value: The new and major contributions of this research are: the inventory model considers demand for products is random variable which follows an exponential probability distribution function and it also depends on the initiatives of sales teams, the imperfect production system generates defective items, different cycle time are considered in manufacturer and retailers and collaborative and non-collaborative approaches are also studied. © 2019, Emerald Publishing Limited.
An optimization algorithm for the multi-objective flexible fuzzy job shop environment with partial flexibility based on adaptive teaching–learning considering fuzzy processing times
(2023) Jiménez Tovar, Mary; Acevedo Chedid, Jaime; Ospina-Mateus, Holman; Salas-Navarro, Katherinne; Sana, Shib Sankar
Production scheduling is a critical factor to enhancing productivity in manufacturing engineering and combinatorial optimization research. The complexity and dynamic nature of production systems necessitates innovative solutions. The Job Shop Flexible Programming Problem (FJSP) provides a realistic environment for production, where processing times are variable and uncertain, and multiple objectives need optimization. To solve the Multi-Objective Flexible Fuzzy Job Shop problem with partial flexibility (P-MOFfJSP), this paper proposes a hybrid metaheuristic approach that combines the Teaching–Learning-based Optimization (TLBO) algorithm with a Genetic Algorithm. The proposed algorithm of Adaptive TLBO (TLBO-A) uses two genetic operators (mutation and crossover) with an adaptive population reconfiguration strategy, ensuring solution space exploration and preventing premature convergence. We have evaluated the TLBO-A algorithm's performance on benchmark instances commonly used in programming problems with fuzzy variables. The experimental analysis indicates significant results, demonstrating that the adaptive strategy improves the search for suitable solutions. The proposed algorithm (TLBO-A) exhibits low variations (around 11%) compared to the best mono-objective heuristic for the fuzzy makespan problem, indicating its robustness. Moreover, compared with other heuristics like traditional TLBO, the variations decrease to around 1%. However, TLBO-A stands out as it aims to solve a multi-objective problem, improving the fuzzy makespan, and identifying good results on the Pareto frontier for the fuzzy average flow time, all within this low variation margin. Our contribution addresses the challenges of production scheduling in fuzzy time environments and proposes a practical hybrid metaheuristic approach. The TLBO-A algorithm shows promising results in solving the P-MOFfJSP, highlighting the potential of our proposed methodology for solving real-world production scheduling problems. © 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
An optimization model for routing—location of vehicles with time windows and cross-docking structures in a sustainable supply chain of perishable foods
(2023) Acevedo Chedid, Jaime; Soto, Melissa Caro; Ospina-Mateus, Holman; Salas-Navarro, Katherinne; Sana, Shib Sankar
The effective distribution of perishable food items is a critical aspect of managing the food industry's supply chain, given their physical–chemical, biological characteristics and composition, which make them highly susceptible to rapid deterioration. This research presents a transport model incorporating a cross-dock system to efficiently deliver goods from production plants to markets. The model incorporates a vehicle routing model that considers time windows for pick-ups and deliveries, optimal cross-dock center locations, a heterogeneous vehicle fleet of limited capacity, and scheduling product collections, arrivals, and departures. The model is a mixed-integer non-linear optimization model that effectively minimizes logistics costs and environmental impacts by considering various parameters such as speed, waiting times, loading and unloading times, and costs associated with the entire operation. The findings demonstrate that the cross-dock structure is highly conducive to distributing perishable goods, achieved by minimizing collection and distribution operations, adhering to designated time windows, and efficiently allocating resources. The GAMS 23.6.5 software is used to program the model, employing various solution strategies, including experimental tests with scenarios, as well as the "posterior," "Pareto optimization," and "weighted sum" methods. The case study in Sincelejo (Sucre, Colombia) reported the best solution, representing 60% of logistics and 40% of environmental costs. The results show complete compliance with routes, no inventory generation, and the necessity of two inbounds and two outbound vehicles for collection from suppliers and delivery to retailers. This study presents an efficient model for managing the transportation of perishable goods, contributing to sustainable distribution activities, and environmental conservation in the food industry's supply chain. © 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
Aplicación de tecnologías emergentes, IoT en la industria de la construcción : análisis bibliométrico /
(2020) Mejía Ruiz, Oscar, autor.; Acevedo Chedid, Jaime
A nivel de todos los continentes, la industria de la construcción se enfrenta a muchos desafíos, especialmente sobrecostos y exceso de tiempo, Miedo, Falta de tecnología IoT, Problemas de legalización, Faltas de centros de formación; agravado por las variaciones que se producen durante las fases de construcción (Estado del tiempo, Personal sin experiencia, Terremotos, huracanes). Con la llegada de la tecnología 4.0 al mundo la industria de la construcción ha tenido que ir modernizarse mediante la inclusión de tecnologías emergentes, internet de las cosas con el fin de minimizar las variaciones, y maximizar los beneficios. Este análisis bibliométrico tiene como objetivo Identificar las principales Tecnologías emergentes e IoT utilizados en la industria de la construcción, examinar los efectos que se obtiene al momento de utilizar estas tecnologías al momento de ejecutar proyectos de construcción. El estudio utilizó revisión Bibliométrica con bases de datos científicas Scopus con el fin de poder realizar un producto de calidad. Los hallazgos de la revisión establecieron algunos potenciales de las tecnologías emergentes e internet de las cosas más utilizados en la industria de la construcción. En esta investigación, el análisis bibliométrico ha sido aplicado en el campo de la construcción enfocado especialmente a las nuevas tecnologías emergentes y aplicación de internet de las cosas en la industria, con la finalidad de identificar publicaciones relevantes en la temática, así como sus implicaciones, beneficios para así lograr objetivos que las organizaciones pueden aprovechar. En total, 128 publicaciones entre artículos y review fueron consideradas desde el año 1993 al año 2020 relacionado con la temática. Las publicaciones relacionan 438 autores, 114 artículos científicos, 14 review, 40 países o territorios, y 30 instituciones principales. Se pueden distinguir 3 áreas principales de investigación en el ámbito de ingeniería, ciencia de la computación negocios, gestión y contabilidad Costin, A Nnaji C, son los autores más productivos. Además, figuran entre los autores con mayor cooperación en la red de autores en la temática. El articulo más citado es de Lee, J. , Mahendra, S. , Álvarez, PJJ (2010).El journal "Automatización en la construcción" es la Revista claves en la publicación de la temática de Tecnologías emergentes e internet de las cosas en la industria de la construcción. Los Estados unidos, china y reino unidos son los países y territorios dominantes en el desarrollo de publicaciones. El continente asiático y europeo es que contiene la mayor cantidad de países desarrollando estudios en la temática. Existe también una amplia variedad de Journals publicando en la temática, relacionados con diferentes campos investigativos, que indican que a pesar que la investigación es poca con respecto a otras temáticas a medidas que pasan los años los investigadores le llama mucho la atención la profundización en la temática. La proyección de los estudios está relacionada con tecnologías emergentes e internet de las cosas Entre los trabajos futuros de la temática se visionan Diseños arquitectónicos basados en realidad aumentada o realidad virtual.
Bibliometric analysis of the potential of technologies in the humanitarian supply chain
(2021-12-01) Argumedo García, Mauricio; Salas-Navarro, Katherinne; Acevedo Chedid, Jaime; Ospina-Mateus, Holman
This study presents a bibliometric analysis of research on technology in the humanitarian supply chain. The methodology includes performance analysis and science mapping to explore the application of technologies in humanitarian supply chains. This paper contributes to the literature by examining the most influential authors, trends, journals, countries, institutions, and the recent humanitarian supply chain collaboration. The information presented in this research was obtained with the Scopus database. The study identified 342 documents after applying filters to screen for duplicates and manuscripts unrelated to the topic. The articles were analyzed using MS Excel and VOSviewer. The research provides an overview of state of the art showing a high collaboration between the authors Ramesh A. and Kabra C, and the most relevant institutions were the Griffith Business School and the Delft University of Technology. Journal of Humanitarian Logistics and Supply Chain Management and Journal of Disaster Research were the most productive journals. The terms analysis shows that “disasters”, “disaster prevention”, “humanitarian logistics”, and “human” are the most used keywords. The study identifies future research lines related to the interaction between critical technologies to deliver real benefits to the humanitarian supply chain. As a result, it proposes integrating the significant contributions of new technologies, such as blockchain, big data, artificial intelligence, 3D printing, virtual and augmented reality, and the social media relief phase following the disaster. It also indicates gaps in knowledge in terms of research related to human-made disasters and health emergencies.
Collaborative Model on the Agro-Industrial Supply Chain of Cocoa
(Taylor and Francis Inc., 2017) Sana S.S.; Herrera Vidal, Germán; Acevedo Chedid, Jaime
Due to globalization and extreme competition in today’s economy, knowledge management that is a systematic management of industries’ knowledge assets for creating value and strategies of the organization plays an important role in finding out new strategies in the supply chain for interacting and satisfying the customers’ demand. Consequently, the current business models are continuously developing, incorporating new trends, new industrial areas, and even new models. In this paper, the authors propose a bi-level optimization model for producer and collection centers to achieve maximum profits of the channel members. In bi-level optimization, collection points are the leaders, and producers are the followers of the strategies taken by the collection points. The profits of the channel members are maximized using General Algebraic Modeling System software. Moreover, Shapley value of game theory approach is applied for coalition of the members in collaborative system, and it is compared with bi-level optimization based on data collected from agro-industry of cocoa. The best way to distribute the profits among the participants is determined by using Microsoft Excel and Java as a programming language. The final results indicate that higher profits are obtained in a collaborative system than in an individual system. © 2017 Taylor & Francis Group, LLC.
Inventory Management Methodology to determine the levels of integration and collaboration in supply chain
(Universidad de Tarapaca, 2017) Salas-Navarro, K.; Maiguel-Mejía, H.; Acevedo Chedid, Jaime
This paper presents a Methodology of Inventory Management that determines the levels of integration and cooperation in a supply chain, so that policies and joint actions to improve the performance of the actors in the chain strategies are generated. It defined the five steps to implement collaborative planning between actors in the supply chain and integration of processes within the same processes as well as indicators to measure their performance as a result of a monitoring strategy. The methodology is validated in Wood sector companies of the city of Barranquilla, where weaknesses are evident in inventory management because they have not adopted best practices for managing inventories collaboratively between actors from different levels Supply Chain. The results show low levels of integration of inventory management processes within companies, which is the result of poor collaboration and integration process between actors from different levels of the supply chain of wood and furniture, allowing to define strategies to improve inventory management among companies that comprise it. © 2017, Universidad de Tarapaca. All rights reserved.
La logística inversa y la tecnología en la re-manufactura y disposición de residuos /
(2020) Tobías Carrascal, Antonio José, autor.; Acevedo Chedid, Jaime
La logística inversa maneja varias definiciones o contextos, desde lo ambiental hasta lo económico, dependiendo del punto de vista que se quiera manejar o estudiar. Una de sus definiciones que da The European Working Group Reverse Logistics (REVLOG):Comprende las diferentes operaciones enmarcadas con la reutilización de productos y materiales implementando actividades logísticas de recolección, desensamble y proceso de materiales, de productos usados y/o sus partes, pensando en tener una recuperación ecológica(Morales, 2009). A partir de esto se debe analizar las tendencias tecnológicas para mejorar y optimizar los procesos en parte de la cadena de suministro inversa, y este estudio bibliométrico se centra en la importancia que tiene la tecnología en la cadena de suministros a través de la remanufactura y los desechos. Los datos obtenidos en este artículo se limitarona los documentos de la base de datos Web of Scopus, para un análisis estadístico y conceptual de cómo esta o ha evolucionado la temática, teniendo en cuenta herramientas como Excel y VOSviewer para comprender la información arrojada y las diferentes tablas y gráficas. Una vez definido o delimitada la búsqueda en la base de datos, se tienen en cuenta 1024 artículos en un lapso de tiempo entre 2005 y 2020, lo que indica una alta productividad y la importancia que se le está generando al tema en relación, otros apartes de la investigación es ver los autores y coautores más productores de la temática, al igual que Journals, países, instituciones, citas, temáticas y términos que marcan una tendencia y pueden dar una claridad sobre que viene para la logística inversa y la importancia de las nuevas tecnologías. En las conclusiones al finalizar se muestran las temáticas o interrogantes para futuras investigaciones que varios autores llegan a identificar en el arduo trabajo de sus investigaciones y consultas a la literatura existente.
La seguridad alimentaria en la administración de la cadena de suministro /
(2020) Alvis Gómez, Laura Milena; Acevedo Chedid, Jaime
La evolución en tecnología de la seguridad alimentaria ha impulsado al aumento enl a logística y transporte de productos con el fin de conservar sus condiciones y llevar al consumidor final productos que cumplan con lineamientos de inocuidad alimenticia. Los análisis realizados implementan la digitalización y control desde origen a destino para revisión constante del transporte de los alimentos con el fin de conservar su tiempo de consumo. El objetivo del análisis bibliométrico se centra en la investigación y análisis de documentos que hoy en día autores han desarrollado con respecto a la administración de la cadena de suministro contemplando la seguridad alimentaria, ya sea enfocándose en la conservación con factores como empaques y/o almacenamiento adecuado. La metodología que se desarrolla se centra en la búsqueda de documentos en herramientas como SCOPUS y la utilización del software VOSviewer. Las palabras claves utilizadas para el desarrollo de la presente bibliometría son"Food*Safety"; y "Supply*Chain"; o "Food*Supply" arrojando un total de 3141documentos de los cuales se realizan limitaciones de tipos de documentos review yartículos; y lenguaje inglés y español; y años a partir del 2003 al 2021 obteniendo como resultado 1959 documentos totales para el análisis del presente documento. Manning, Lâ€™s, es el autor más productivo proveniente del Reino Unido con 76documentos y 1044 citaciones en 795 documentos como autor teniendo en cuéntala base de datos Scopus. China, Estados Unidos y Reino Unido son los países y territorios dominantes en el desarrollo de publicaciones. El continente asiático, americano y europeo tienen participación en el desarrollo de la temática.
Model of optimization of mining complex for the planning of flow of quarry production of limestone in multiple products and with elements for the analysis of the capacity
(Springer Verlag, 2017) Ospina-Mateus H.; Acevedo Chedid, Jaime; Salas-Navarro K.; Morales-Londoño N.; Montero-Perez J.; Figueroa-Garcia J.C.; Lopez-Santana E.R.; Ferro-Escobar R.; Villa Ramírez, José Luis
Activities in mining complexes contain multiple decisions that affect the operations of the system for the extraction, transformation, transport and storage of various subsoil components. The purpose of this research is the planning of continuous flow production systems for mixed products, in non-metallic mining extraction processes, considering bottlenecks and capacity planning. This paper presents a model for production, based on mathematical optimization, that facilitates the planning and management of operations in the area of extraction, crushing and transformation of a quarry of aggregates for construction, considering the resources and the constraints that allow to define effective strategies in the increase of the productivity of the lines of low production environment by scenarios. This research develops an analysis of bottlenecks and contrasts the nature of the production system by means of a mathematical model of optimization, which considers the capacities and balances in the flows of the Limestone production line. The mathematical model that maximizes profits can be adapted to systems of continuous flow production in mining complexes where their products are part of a reverse logistics process, analysis of alternatives of extraction, transformation and transport. © 2017, Springer International Publishing AG.
Production system in a collaborative supply chain considering deterioration
(2021-06-24) Acevedo Chedid, Jaime; Salas-Navarro, Katherinne; Ospina-Mateus, Holman; Villalobo, Alina; Sankar Sana, Shib
This research presents a mathematical model for a collaborative planning of the supply chain involving four echelons (supplier, production plants, distribution, retails, or clients). The model seeks to maximize profit (utility) when all members of the chain share information related to demand. It is developed for the aggregate consolidation of different raw materials in cement production. The novelty of the model is the consideration of products that deteriorate in the process and thus it has effect on the production times in the plant and lead time. In this supply chain, quality and compliant products and the return of deteriorated products are two flows. The considerations are lead time, inventories with shortages and excesses, production times in normal and extra days, and subcontracting, among others. A mixed integer linear programming with demand scenario analysis is used to optimize and analyze the uncertainty that is consistent with the performance of the construction sector. The model is formed considering two suppliers, two production plants, two distributors, two retailers and two end customers. Four manufacturing inputs (raw materials) are considered for the manufacture of two types of products. A case study of the cement production supply chain of Cartagena (Colombia) is illustrated. The shared benefit is generated around 5 billion pesos (COP) for all members of the chain in a period of 6 months.
Proveedores y uso de las tecnologías emergentes en cadenas de suministro : revisión bibliométrica de la literatura /
(2020) Guevara Herazo, Marlon Néstor; Acevedo Chedid, Jaime
El siguiente trabajo tiene como objetivo el desarrollo de una revisión bibliométrica del tema de Proveedores y el Uso de las Tecnologías Emergentes dentro de las Cadenas de Suministro, dada la pertinencia e importancia que ello reviste para el óptimo desempeño y competitividad de las organizaciones. Se aplicó la técnica de revisión bibliométrica de publicaciones científicas, considerando la base de datos Scopus para el proceso de filtración de las palabras claves "Supplierand Emerging Technologies", "Inventory Management" bajo el conector "AND", y "VMI", el cual arrojó como resultado 672 documentos, los cuales fueron analizados. El análisis permitió seleccionarlos conceptos claves de mejora continua de procesos, la comunicación y la cooperación dentro de la Industria y la Empresa. Se concluye que, el uso de Tecnología constituye un elemento clave para la mejora de los procesos y la competitividad, facilitando el control de la cadena de suministro (manejo de inventario, almacenes, distribución y ventas), así como también, mejorando los niveles de servicio para los clientes internos y externos.
Reactive scheduling in collaborative supply chain: A literature review
(Revista Espacios, 2017) Acevedo Chedid, Jaime; Salas-Navarro K.; Ospina-Mateus H.; Santander-Mercado A.
This paper aims to review the literature on the reprogramming of production in collaborative supply chains, through a thorough investigation and Scientometric analysis to identify the behavior of publications in recent years, which allow the identification of authors, areas Of the knowledge, countries and institutions most unrelated in the area. Finally, research lines are presented with a greater tendency for new research that contributes to the literature and the improvement of stocks. © 2017.
Soft-computing approaches for rescheluding problems in a manufacturing industry
(2020-03-02) Acevedo Chedid, Jaime; Grice Reyes, Jennifer; Ospina-Mateus, Holman; Salas-Navarro, Katherinne; Santander-Mercado, Alcides; Sankar Sana, Shib
Flexible manufacturing systems as technological and automated structures have a high complexity for scheduling. The decision-making process is made difficult with interruptions that may occur in the system and these problems increase the complexity to define an optimal schedule. The research proposes a three-stage hybrid algorithm that allows the rescheduling of operations in an FMS. The novelty of the research is presented in two approaches: first is the integration of the techniques of Petri nets, discrete simulation, and memetic algorithms and second is the rescheduling environment with machine failures to optimize the makespan and Total Weighted Tardiness. The effectiveness of the proposed Soft computing approaches was validated with the bottleneck of heuristics and the dispatch rules. The results of the proposed algorithm show significant findings with the contrasting techniques. In the first stage (scheduling), improvements are obtained between 50 and 70% on performance indicators. In the second stage (failure), four scenarios are developed that improve the variability, flexibility, and robustness of the schedules. In the final stage (rescheduling), the results show that 78% of the instances have variations of less than 10% for the initial schedule. Furthermore, 88% of the instances support rescheduling with variations of less than 2% compared to the heuristics.
Un estudio bibliométrico sobre tecnologías emergentes en procesos de logística verde : uso y perspectivas de desarrollo /
(2020) Ibáñez Charris, Vladimir Wiston, autor.; Acevedo Chedid, Jaime
La creciente adopción de nuevas tecnologías en diferentes áreas de aplicación y la concientización que el mundo ha tenido en los últimos años sobre el tema de la sostenibilidad ambiental, hacen que las temáticas aquí analizadas demuestren el gran interés que existe en ellas y la estrecha relación que guardan. Dentro del artículo, nos detendremos en ahondar sobre las estrategias de sostenibilidad ambiental, específicamente lo conocido como Logística Verde, al mismo tiempo sobre las tecnologías contenidas dentro de la Industria 4.0. Dentro de la Industria 4.0, encontraremos una serie de tecnologías con alto impacto innovador, de las cuales podemos resaltar: Internet de las Cosas(IoT), Bigdata, Blockchain, Machine Learning. La tecnología ha permeado en todas las actividades que conocemos en la actualidad, por lo tanto, podemos anticiparnos a pensar que la Logística Verde no será la excepción. El objetivo de este documento es analizar las investigaciones científicas sobre Logística Verde en el campo del uso de nuevas tecnologías para su implementación con un enfoque bibliométrico. Para lograr este fin, este articulo analizó una base de datos de Scopus con 1072 registros, extraída en septiembre del 2020. Se realizó un análisis bibliométrico teniendo en cuenta todas las publicaciones realizadas por las revistas desde el año 2014 a la fecha y que estuviesen relacionadas con las temáticas de Logística Verdey Nuevas Tecnologías. Con la información obtenida se analizaron los siguientes aspectos: (1) producción científica y tendencias, (2) autores y sus operaciones, (3) journals de publicación, (4) distribución geográfica y distribución de instituciones en cooperación, (5) análisis de citaciones, (6) análisis en citaciones y co-citaciones (redes), (7) categorías temáticas, y (8) análisis de términos. Las publicaciones relacionan 3726 autores, 432 journals, 90 países o territorios, y 160 instituciones. Kumar N. es el autor más productivo con 10 artículos y figura entre los autores más citados y con mayor cooperación en la red de autores en la temática. El articulo más citado es de Paustian K.,(2016), "Climate-smart soils". Los journals "Energies" y "Journal of Cleaner Production" son las Revistas claves en la publicación de la temática que nos atañe. India y China son los países y territorios dominantes en el desarrollo de publicaciones. El continente asiático y europeo son los que contienen la mayor cantidad de países desarrollando estudios en la temática. El artículo está dedicado especialmente aquellos investigadores que buscan problemas aún sin resolver en la implementación de la Industria4.0 sostenible, principalmente con todo lo relacionado con las estrategias de Logística Verde. Además, el manuscrito podría ser una inspiración para científicos y demás partes interesadas. Por otra parte, no solo se encontró relación entre Logística Verde y su aplicación utilizando las nuevas tecnologías de la Industria 4.0, sino también, la tendencia que se está evidenciando y que buscaría al final contar con ciudades inteligentes donde ambos conceptos sean la base para garantizar un planeta sostenible.
Vendor managed inventory system considering deteriorating items and probabilistic demand for a three-layer supply chain
(2023-01-23) Salas-Navarro, Katherinne; Romero-Montes, Juan M.; Acevedo Chedid, Jaime; Ospina-Mateus, Holman; Florez, Whady F.; Cárdenas-Barrón, Leopoldo Eduardo
This paper proposes a Vendor Managed Inventory model for a three-layer supply chain comprised of multiple suppliers, manufacturers, and retailers. During the production and storage of products, rates of defective and deteriorated products are generated, respectively. The imperfect quality and deteriorating items are removed from the lot size. The decision variables include the replenishment cycles and production rates of finished products, order times, and raw materials production rates. It is assumed that deteriorating rates are constant, and the demand rates of retailers are probabilistic. A joint optimization model is developed to maximize the benefit function of the supply chain. Cost of order, deterioration, holding, screening, production, disposal, fixed, labor, purchasing, and others. A collaborative approach is considered among the chain members where the manufacturers lead the inventory policies to avoid risks associated with deterioration items. Moreover, the Taylor series expansion approximates the exponential terms, and a solution procedure is proposed to find the optimal solutions. A case study of the Dairy Industry for highly perishable products is provided to apply the VMI model and perform a sensitivity analysis. This collaboration scheme is developed according to confidentiality policies to share information related to sales forecast, operational cost, storage strategies, quality conditions, and increased product rotation to reduce deterioration. The results show greater participation of the retailers and manufacturers in the benefits of the chain, which is consistent with the VMI policy. Finally, the conclusion, managerial implications, and future research are presented.

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