C. G. Gómez-Marín, Julián Andrés Zapata Cortés, M. D. A. Serna, Conrado Augusto Urán Serna
{"title":"An Urban Supply Chain Distribution Model","authors":"C. G. Gómez-Marín, Julián Andrés Zapata Cortés, M. D. A. Serna, Conrado Augusto Urán Serna","doi":"10.13053/rcs-148-4-1","DOIUrl":null,"url":null,"abstract":"Increased activities in urban areas related with goods transportation lead companies to look for new strategies in order to develop those process in a more efficient way, aiming to reduce costs and increase customer’s satisfaction. This paper presents an urban supply chain framework and a Mixed Integer Linear Programing Model for its optimization. The model uses different goods distribution actors, including several suppliers, one consolidation facility and several customers. The proposed framework and optimization model allow to generate optimal routes and the assignment of the customers and suppliers in the distribution network.","PeriodicalId":220522,"journal":{"name":"Res. Comput. Sci.","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Res. Comput. Sci.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.13053/rcs-148-4-1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Increased activities in urban areas related with goods transportation lead companies to look for new strategies in order to develop those process in a more efficient way, aiming to reduce costs and increase customer’s satisfaction. This paper presents an urban supply chain framework and a Mixed Integer Linear Programing Model for its optimization. The model uses different goods distribution actors, including several suppliers, one consolidation facility and several customers. The proposed framework and optimization model allow to generate optimal routes and the assignment of the customers and suppliers in the distribution network.