Pub Date : 2018-08-31DOI: 10.14257/IJT.2018.6.2.02
Selçuk Alp, Tugba Kiral Ozkan
The purpose of the transportation problem is trying to find the best route to meet the demands by using the supply points with capacity. While the Transportation problem only allowed products to be conveyed directly from the supply centers to demand centers, problem of transshipment transfer centers are also used. Linear programming methods can be used to solve the transportation problems. However, in the presence of numerical targets to achieve; Goal programming method is used instead of Linear Programming. Goal programming is a method applied to linear programming problems with a large number of goals and objectives. On the contrary to linear programming methods which is optimizing an objective; goal programming, used to deliver results for conflicting objectives by minimizing the deviation between objective values and the realized results. Fuzzy Goal Programming approach is used to solve problems if the exact value is not measured for the objectives and constraints. The purpose of this article is to put forth that the fuzzy goal programming which we can accept as one of the best decision-making models that can be used under the fuzzy and reveal the solution, can be used for the modeling of a transshipment problem.
{"title":"Modelling of Multi-Objective Transshipment Problem with Fuzzy Goal Programming","authors":"Selçuk Alp, Tugba Kiral Ozkan","doi":"10.14257/IJT.2018.6.2.02","DOIUrl":"https://doi.org/10.14257/IJT.2018.6.2.02","url":null,"abstract":"The purpose of the transportation problem is trying to find the best route to meet the demands by using the supply points with capacity. While the Transportation problem only allowed products to be conveyed directly from the supply centers to demand centers, problem of transshipment transfer centers are also used. Linear programming methods can be used to solve the transportation problems. However, in the presence of numerical targets to achieve; Goal programming method is used instead of Linear Programming. Goal programming is a method applied to linear programming problems with a large number of goals and objectives. On the contrary to linear programming methods which is optimizing an objective; goal programming, used to deliver results for conflicting objectives by minimizing the deviation between objective values and the realized results. Fuzzy Goal Programming approach is used to solve problems if the exact value is not measured for the objectives and constraints. The purpose of this article is to put forth that the fuzzy goal programming which we can accept as one of the best decision-making models that can be used under the fuzzy and reveal the solution, can be used for the modeling of a transshipment problem.","PeriodicalId":43151,"journal":{"name":"International Journal of Transportation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.14257/IJT.2018.6.2.02","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46598559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-08-31DOI: 10.14257/IJT.2018.6.2.03
S. Singh, Preetvanti Singh
{"title":"AFS Theory based Integrated Multiple Criteria Decision Making Model for Transportation Mode Selection","authors":"S. Singh, Preetvanti Singh","doi":"10.14257/IJT.2018.6.2.03","DOIUrl":"https://doi.org/10.14257/IJT.2018.6.2.03","url":null,"abstract":"","PeriodicalId":43151,"journal":{"name":"International Journal of Transportation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46652716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-08-31DOI: 10.14257/IJT.2018.6.2.04
Seung-Hyun Kim, Jongin Won, Jooyoung Kim, Seung-jae Lee
{"title":"The Review on MaaS Application Methods for Smart Cities","authors":"Seung-Hyun Kim, Jongin Won, Jooyoung Kim, Seung-jae Lee","doi":"10.14257/IJT.2018.6.2.04","DOIUrl":"https://doi.org/10.14257/IJT.2018.6.2.04","url":null,"abstract":"","PeriodicalId":43151,"journal":{"name":"International Journal of Transportation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.14257/IJT.2018.6.2.04","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46425075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}