Dávid Lajos Sárdi, György Lipovszki, Krisztián Bóna
{"title":"Application of microscopic discrete event-based simulation in the modelling of the city logistics systems of concentrated sets of delivery locations","authors":"Dávid Lajos Sárdi, György Lipovszki, Krisztián Bóna","doi":"10.1080/17477778.2023.2272967","DOIUrl":null,"url":null,"abstract":"ABSTRACTNowadays, city logistics issues are getting more and more attention. Within this, our City Logistics Research Group is currently focusing on the urban concentrated sets of delivery locations. MS Excel- and AnyLogic-based simulation models were developed in the last years to analyze them, but still, problems were encountered above a certain model size in both cases. For this reason, we started looking for a new tool that is flexible, fast, and available for everyone. The use of Python Programming Language was selected, with the primary goal of eliminating the previous technical problems and obtaining detailed information about the examined processes. In this paper, we are going to present the problems of the previous models, the development, operation, and main advantages of the new, Python-based DES model, the design and parameterization of the pilot models, the results of the tests, and the next steps of the research.KEYWORDS: City logisticsshopping mallsimulationPythonLabVIEWDES Disclosure statementNo potential conflict of interest was reported by the author(s).","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":"80 3","pages":"0"},"PeriodicalIF":1.3000,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Simulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/17477778.2023.2272967","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
ABSTRACTNowadays, city logistics issues are getting more and more attention. Within this, our City Logistics Research Group is currently focusing on the urban concentrated sets of delivery locations. MS Excel- and AnyLogic-based simulation models were developed in the last years to analyze them, but still, problems were encountered above a certain model size in both cases. For this reason, we started looking for a new tool that is flexible, fast, and available for everyone. The use of Python Programming Language was selected, with the primary goal of eliminating the previous technical problems and obtaining detailed information about the examined processes. In this paper, we are going to present the problems of the previous models, the development, operation, and main advantages of the new, Python-based DES model, the design and parameterization of the pilot models, the results of the tests, and the next steps of the research.KEYWORDS: City logisticsshopping mallsimulationPythonLabVIEWDES Disclosure statementNo potential conflict of interest was reported by the author(s).
Journal of SimulationCOMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-OPERATIONS RESEARCH & MANAGEMENT SCIENCE
CiteScore
5.70
自引率
16.00%
发文量
42
期刊介绍:
Journal of Simulation (JOS) aims to publish both articles and technical notes from researchers and practitioners active in the field of simulation. In JOS, the field of simulation includes the techniques, tools, methods and technologies of the application and the use of discrete-event simulation, agent-based modelling and system dynamics.