Problem of Modelling Road Transport

Ziółkowski, Jarosław; Lęgas, Aleksandra

doi:10.2478/jok-2019-0055

Cited by 6 publications

(4 citation statements)

References 7 publications

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“…In the case of the route A optimization, it is necessary to calculate the optimization for each of the 13 points separately and then select the best from the offered solutions. The following Table 18 shows the results of the nearest neighbor method for each individual point, including other alternative circular paths that have been calculated for some points [34]. The smallest value of the purpose function was reached by the circular route leading from point A1 [35].…”

Section: Optimization Of Initial Routes By the Nearest Neighbor Methodsmentioning

confidence: 99%

Optimization of the Pick-Up and Delivery Technology in a Selected Company: A Case Study

et al. 2022

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This article deals with pick-up and delivery activities in a selected company that focuses on the distribution of products in the gastronomic sector of the market and suggests how to make the present approach more efficient. The introductory part of the article clarifies the meanings of basic concepts related to the issue of optimizing the logistics processes in the company. The crucial goal is to analyze the existing pick-up and delivery technology and then, in the application part of the article, to propose adequate measures in the context of streamlining these activities with their technical and economic evaluation. An analysis of current delivery routes, which are used for the distribution of gastronomic products, is first performed. Thereafter, the routes are optimized with the aim of minimizing the total distance traveled by using the Operations Research methods, namely: the Hungarian method, Vogel approximation method, nearest neighbor method and the Routin route planner which is based on a principle of the Greedy algorithm. At the end of the article, a technical and economical evaluation of the findings is discussed, wherein the individual results of optimization through selected methods are first compared and then, new optimized routes are selected.

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Section: Optimization Of Initial Routes By the Nearest Neighbor Methodsmentioning

confidence: 99%

Optimization of the Pick-Up and Delivery Technology in a Selected Company: A Case Study

et al. 2022

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“…Villamarín et al (2019) aplican MAV junto con otros métodos para determinar un modelo matemático óptimo para una empresa comercializadora de combustibles. Ziółkowski & Lęgas (2019) comparan MEN, MCM y MAV en el transporte por carretera. Babu et al (2020) introducen un MAV mejorado que supera al MAV estándar en múltiples problemas de transporte.…”

Section: Issn Online 2007-9621unclassified

Estrategia en el suministro de botellas de agua purificada con el logaritmo aproximación Vogel

Avila Soler,

Loyo Quijada,

López Ontiveros

et al. 2024

Acta Universitaria

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En esta investigación se propone una herramienta aplicable a cualquier sector productivo que busque eficientar el uso y manejo de los recursos internos en una organización. El objetivo del trabajo es minimizar los costos de transporte en el envío de agua purificada embotellada ante variaciones en los pedidos de clientes por medio del logaritmo de aproximación Vogel. El método consistió en aplicar los cinco puntos siguientes: 1) recolectar información interna y externa, 2) analizar y depurar la información, 3) simular en software, 4) interpreta los resultados y 5) proponer soluciones. Los resultados arrojados determinaron que el costo mínimo de transporte de botellas de agua para las presentaciones de 600 ml, 1000 ml y 2000 ml fueron de $150.6, $251.5 y $494 pesos mexicanos, respectivamente; además, cada producto genera una ruta óptima ideal. Se concluye que la metodología permitió generar información relevante para la toma de decisiones estratégicas en la empresa con base en las condiciones actuales.

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“…Therefore, the tendency to shorten delivery times is becoming an important element of competitiveness in the current flexible supply chains. The aforementioned tendency can be realized in many ways, i.e., by choosing the right means of transport, choosing the fastest and/or the shortest transport route [22,23], increasing the average speed of transport [24], efficient use of the vehicle's loading area, eliminating empty runs [25,26], or effective prediction of flows within the distribution network [27][28][29]. The abovementioned possibilities essentially come down to optimization of the operating costs [30] of both private and public means of transport [31].…”

Section: Introductionmentioning

confidence: 99%

Optimization of the Delivery Time within the Distribution Network, Taking into Account Fuel Consumption and the Level of Carbon Dioxide Emissions into the Atmosphere

et al. 2022

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The evolution of changes in shopping in the modern society necessitates suppliers to seek new solutions consisting of increasing the efficiency of transport processes. When it comes to controlling the flow of goods in modern distribution networks, planning and timely deliveries are of particular importance. The first factor creating a competitive advantage involves the tendency to shorten order delivery times, especially for products with a short shelf life. Shorter delivery times, in turn, extend the period of effective residence of the product “available on the shelf”, increasing the likelihood of its sale. The second component in line with the Sustainable Development Strategy consists of aspects related to the protection of the natural environment, in particular those related to car transport. In this case, the fuel consumption and the level of emitted toxic substances (including carbon dioxide) are analyzed and assessed. Bearing in mind the above, this article presents the problem of optimizing the delivery time within the assumed distribution network and its solution, enabling the company to develop and optimal plan for the transport of products with a short shelf life. The paper proposes a model that takes into account minimization of the delivery time, while estimating the values of fuel consumption and CO2 emissions for the variants considered. The means of transport were medium-duty trucks. Three variants of the assumptions were considered, and algorithms implemented in MS Excel and MATLAB software were used to perform the optimization. Using the MATLAB environment, a more favorable value of the objective function was obtained for the variant without additional constraints. On the other hand, the algorithm implemented in MS Excel more effectively searched the set of acceptable solutions with a larger number of constraining conditions.

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Problem of Modelling Road Transport

Cited by 6 publications

References 7 publications

Optimization of the Pick-Up and Delivery Technology in a Selected Company: A Case Study

Optimization of the Pick-Up and Delivery Technology in a Selected Company: A Case Study

Estrategia en el suministro de botellas de agua purificada con el logaritmo aproximación Vogel

Optimization of the Delivery Time within the Distribution Network, Taking into Account Fuel Consumption and the Level of Carbon Dioxide Emissions into the Atmosphere

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