Estructura de decisión de la problemática logística del transporte

Cáceres, Rafael Guillermo García; Trujillo-Díaz, Johanna; Mendoza, Diego

doi:10.19053/20278306.v8.n2.2018.7970

Cited by 4 publications

(4 citation statements)

References 24 publications

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“…Графтың барлық төбелері қатыспаған деп белгіленген. Егер барлық төбелерге кірсе, алгоритм аяқталады [5][6][7][8][9].…”

Section: зерттеу әдістемесіunclassified

Решение Задач В Оптимизации Транспортной Логистики С Помощью Граф-Схем

Абдувалова

2023

BULLETIN Series Physical and Mathematical Sciences

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Мақалада логистиканың дамуындағы шешуші рөлді айқындайтын нарықтық даму жағдайындағы көлік- логистикалық жүйелерді және олардың элементтерін оңтайландырудың модельдері мен әдістері қарастырылған. Қазіргі заманғы теория және сандық оңтайландыру әдістері - бұл көлік қызметтерінің тиісті секторлары көлемінің өзгеруіне бейімделуге тез және аз ресурстар мен уақытты, әдістер мен модельдерді қолдана отырып көлік құралдарын басқару кезінде ғылыми негізделген шешімдер қабылдауға мүмкіндік береді. Мақалада көлік-логистикалық жүйелерді басқару деңгейі мен ұйымдастыруды арттыру мақсатында компьютерлік технологияларды қолданатын логистикалық жүйелер режимін оңтайландыру әдісі талқыланады. Бағытталған граф көрсетілген сапа критерийін ескере отырып, есептелген графикке сүйене отырып, күрделі маршрутпен көлік желісінде жүктерді жеткізудің ең кіші маршрутын таңдауды автоматтандыруға мүмкіндік береді. Мақалада әдісті жүзеге асырудың оңтайландыру алгоритмі және көлік жұмысын орындау уақытын қысқарту үшін компьютерлік есептеу келтірілген. Түйін сөздер: оңтайландыру есебі, алгоритм, транспорттық логистика, бағытталған граф, мақсатты функция, модель, сапа критерийлері. В статье рассматриваются модели и методы оптимизации транспортно-логистических систем и их элементов в условиях развития рынка, которые определяют решающую роль в развитии логистики. Современная теория и численные методы оптимизации являются инструментом, позволяющим принимать научно обоснованные решения при управлении транспортными средствами с использованием методов и моделей, которые могут реализоваться и работать в кратчайшие сроки без затрат ресурсов и времени при изменениях объемов соответствующих секторах предоставления транспортных услуг. В статье рассматривается метод оптимизации режима логистических систем с использованием компьютерных технологий, с целью повышения уровня и организации управления транспортно- логистическими системами с коррекцией по состоянию. Ориентированный граф, позволяет автоматизировать выбор наименьшего пути доставки грузов в транспортной сети со сложным маршрутом, осуществляемый на основе рассчитанного графа, с учетом качества занного критерий. В работе представлен алгоритм для реализации метода оптимизации и компьютерная вычисление для сокращения времени выполнения транспортной работы. Ключевые слова: задача оптимизации, алгоритм, транспортная логистика, граф направлений, целевая функция, модель, критерии качества. The article discusses models and methods for optimizing transport and logistics systems and their elements in the context of market development, which determine a decisive role in the development of logistics. Modern theory and numerical optimization methods are a tool that allows you to make scientifically grounded decisions when driving vehicles using methods and models, quickly and with little resources and time to adapt to changes in the volume of the relevant sectors of transport services. The article discusses a method for optimizing the mode of logistics systems using computer technologies, in order to increase the level and organization of management of transport and logistics systems with state correction. Directed graph allows you to automate the choice of the smallest way of delivery of goods in a transport network with a complex route, carried out on the basis of the calculated graph,taking into account the specified quality criterion. The paper presents an optimization algorithm for the implementation of the method and a computer calculation to reduce the time for performing transport work. Keywords: task optimization, algorithm, transport logistics, direction graph, target function, model, quality criteria.

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Section: зерттеу әдістемесіunclassified

Решение Задач В Оптимизации Транспортной Логистики С Помощью Граф-Схем

Абдувалова

2023

BULLETIN Series Physical and Mathematical Sciences

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“…Mathematical models are tools that allow to optimize operations that present different options for making decisions, where the model helps to determine the best way to use resources, based on the most representative variables and parameters of the system (García-Cáceres et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Transshipment and Routing Model for Multi-Product Planning and Distribution at a Refreshment Company in Bogota, Colombia

Ochoa¹,

Camacho²,

Amador³

et al. 2022

JART

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In this article, a model is established for the planning of the weekly distribution of refreshments in a company that produces 6 types of beverages in 3 Production Centers, with the potential use of 3 Distribution Centers and supplying 22 Consumer Centers located in Bogota. Due to the impact of transportation costs on the company profits, it is necessary to determine the optimal planning of the allocation of sources to destinations in the nodal network of the system and its subsequent routing with two types of vehicles. Therefore, a two-phase model is proposed. In the first, the initial optimal assignments are established by comparing two techniques; one based on the Open Transshipment Problem (OTP) and the other on the Capacitated Transshipment Problem (CTP), which determine the trips to be made from production centers to consumer centers using distribution centers as intermediaries. This comparison allowed to analyze its efficiency to choose the model with the lowest cost and number of trips. In the second phase, routing was performed on routes that do not use the full capacity of the vehicles. The routes were established through the Travelling Salesman Problem (TSP). As a result, a comprehensive model was obtained to carry out the planning of the product distribution, obtaining in Phase II the use of the OTM model, which presented 14% less distance; 2.6% less time and 0.28% less than the total cost compared to the CTP model. In Phase II 5 routes were obtained, of which Distribution Center 2 covers 59% of customers.

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“…La gestión del transporte una actividad de alta complejidad (Arango Serna, et al, 2018) debido al número de alternativas posibles de organización coordinación entre los agentes: integración vertical, redes y mercados, figuras que tienen sus propias especificidades y afectan la planeación, gestión y operatividad del transporte. Autores, definen la Función Logística de transporte (FLT), como una problemática entiende un conjunto de actividades sistemáticas, programadas y coordinadas que tienen un objetivo, entradas y salidas definidas y diferenciables respecto a otras problemáticas, a lo largo de la cadena de suministros, cuya meta final es la satisfacción de los clientes (García-Cáceres, et al, 2018;Martínez & Amado Castillo, 2018). Los costos de transporte y distribución son los más altos de los costos logísticos, ya que absorben del 55% al 66% de los costos logísticos totales (Buurman, 2002;Cespón Castro & Auxiliadora-Amador, 2003;Ballou, 2004Ballou, , 2007.…”

Section: Introductionunclassified

“…Realizar la conformación del viaje: organización de las rutas, paradas previstas Fuente: García-Cáceres, et al, (2018).…”

Section: Introductionunclassified

Hierarchical planning of shipping transportation in a SME logistics operator

Charpentier Alcívar,

Feitó Cespón,

Durán Chávez

et al. 2021

REMCA

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The objective of this article is the design of a methodology that allows planning in the medium term and in launching the annual and operational plans for a freight transport operations company. To do this, the design of a transport operations master plan is executed, following the hierarchical line of operations management. This plan serves as an anticipation of quality and capacity problems that allow for better relations with customers, as well as increasing the efficient use of means of transport. In addition, based on this monthly master plan, the operational plan is established in advance, which allows planning in advance and achieving better coordination between the freight transport provider and its customers to improve efficiency in transfers and cargo exchange.

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Estructura de decisión de la problemática logística del transporte

Cited by 4 publications

References 24 publications

Решение Задач В Оптимизации Транспортной Логистики С Помощью Граф-Схем

Решение Задач В Оптимизации Транспортной Логистики С Помощью Граф-Схем

Transshipment and Routing Model for Multi-Product Planning and Distribution at a Refreshment Company in Bogota, Colombia

Hierarchical planning of shipping transportation in a SME logistics operator

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