Mathematical Model for the Generalized VRP Model

Agárdi, Anita; Kovács, László; Bányai, Tamás

doi:10.3390/su141811639

Cited by 4 publications

(2 citation statements)

References 39 publications

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“…In this section, the software for the generalized VRP model is presented. The mathematical formulation of the generalized model is presented in paper [16]. The generalized model contains the following component: number of positions, levels, vehicles, periods, products, services.…”

Section: Software For the Generalization Of The Vehicle Routing Problemmentioning

confidence: 99%

“…The functional parameter group has the following attributes: inter-depot route, delivery, pickup, soft time window, open route. Also two test cases are presented in paper [16], and this two test cases (treatment of waste and treatment of newspaper) are solved with Simulated Annealing algorithm, but the paper [16] does not contain the software representation. The paper describes the representation mode of the generalized VRP model.…”

Section: Software For the Generalization Of The Vehicle Routing Problemmentioning

confidence: 99%

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Software for the generalization of the Vehicle Routing Problem

Agárdi¹

2022

Production Systems and Information Engineering

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This article presents a software solution to the generalization of the Vehicle Routing Problem. The Vehicle Routing Problem is a logistics task, the purpose of which is to transport goods and services to a given place at a given time in a cost-effective manner. Many versions of the task have developed over the years, which model constantly changing, complicated systems. The article details the software solution of a model that models a general system. The software representation contains the following components: vector describing the order of nodes, the matrix describing the assignment of vehicles-nodes-products, vector describing the assignment of vehicle - recharger stations, vector describing the vehicle-start-end-node assignment, vector describing level, vector describing period, solution description vector. The following optimization algorithms were used in the article: Ant Colony System, Genetic Algorithm, Simulated Annealing and Tabu Search. The article presents the literature of the Vehicle Routing Problem, the software solution of the general system, the applied algorithms and their running results through a case study.

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Section: Software For the Generalization Of The Vehicle Routing Problemmentioning

confidence: 99%

Section: Software For the Generalization Of The Vehicle Routing Problemmentioning

confidence: 99%

Software for the generalization of the Vehicle Routing Problem

Agárdi¹

2022

Production Systems and Information Engineering

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Ontology Support for Vehicle Routing Problem

2022

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This paper aims to present a generalized ontology model for the Vehicle Routing Problem (VRP) and it gives some out-plant material handling case studies. The Vehicle Routing Problem is a logistics task where customers with a specific need for products are served within the least possible distance traveled by vehicles. The Vehicle Routing Problem has been highly investigated in operations research, computer science, transportation science, and mathematics. As our new approach shows, the VRP can be used to model in-plant and out-plant material handling and out-plant passenger transport. The Vehicle Routing Problem is a complex, multi-component heterogeneous environment, where consistent handling and integrity of components is a more difficult problem. In this alignment (integrity management, automation), our goal was to develop a unified semantic background framework. Our ontology describes the concepts and the relationships between concepts for the investigated domain. The paper presents the construction and application of ontology for a sample framework and presents test runs based on case studies. The paper shows that ontology can be built into the logic of software applications related to logistic problems. The last part of the article focuses on case studies for our ontology model from the field of tank, money, parcel, and perishable food transportation.

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Optimization Model and Algorithm of Logistics Vehicle Routing Problem under Major Emergency

Tan

Liu

et al. 2023

Mathematics

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The novel coronavirus pandemic is a major global public health emergency, and has presented new challenges and requirements for the timely response and operational stability of emergency logistics that were required to address the major public health events outbreak in China. Based on the problems of insufficient timeliness and high total system cost of emergency logistics distribution in major epidemic situations, this paper takes the minimum vehicle distribution travel cost, time cost, early/late punishment cost, and fixed cost of the vehicle as the target, the soft time window for receiving goods at each demand point, the rated load of the vehicle, the volume, maximum travel of the vehicle in a single delivery as constraints, and an emergency logistics vehicle routing problem optimization model for major epidemics was constructed. The convergence speed improvement strategy, particle search improvement strategy, and elite retention improvement strategy were introduced to improve the particle swarm optimization (PSO) algorithm for it to be suitable for solving global optimization problems. The simulation results prove that the improved PSO algorithm required to solve the emergency medical supplies logistics vehicle routing problem for the major emergency can reach optimal results. Compared with the basic PSO algorithm, the total cost was reduced by 20.09%.

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Mathematical Model for the Generalized VRP Model

Cited by 4 publications

References 39 publications

Software for the generalization of the Vehicle Routing Problem

Software for the generalization of the Vehicle Routing Problem

Ontology Support for Vehicle Routing Problem

Optimization Model and Algorithm of Logistics Vehicle Routing Problem under Major Emergency

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