{"title":"A new mathematical model for gate assignment problem considering transit passengers and safety constraints: Benders decomposition approach","authors":"A. Rashidi, Fatemeh Nasrollahpourniazi","doi":"10.30495/JIEI.2020.679270","DOIUrl":null,"url":null,"abstract":"Inappropriate gate assignment has some consequences such as flight delays, inefficient usage of resources and customer’s dissatisfaction. Airports are service sectors and provide services to their customers. Passengers and airlines are two main customers of an airport. Current research presents a novel mathematical model for gate assignment problem to minimize customers’ dissatisfaction. In other words, passengers walking time as well as flight delays are minimized in as objective function. In this model, transit and non-transit passengers and also arrival and departure flights are considered. Moreover, operational safety constraints are inserted to avoid collision of large aircraft. The proposed model is solved by Benders decomposition approach. The model is applied in San Francisco International Airport for a 24-hour horizon. The result shows that walking time of non-transit passengers, walking time of transit passengers, delay in departure flights and delay in arrivals include 74.55, 23.32, 0.96 and 1.17 percent of the objective function, respectively.","PeriodicalId":37850,"journal":{"name":"Journal of Industrial Engineering International","volume":"84 1","pages":"82-92"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Industrial Engineering International","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30495/JIEI.2020.679270","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 2
Abstract
Inappropriate gate assignment has some consequences such as flight delays, inefficient usage of resources and customer’s dissatisfaction. Airports are service sectors and provide services to their customers. Passengers and airlines are two main customers of an airport. Current research presents a novel mathematical model for gate assignment problem to minimize customers’ dissatisfaction. In other words, passengers walking time as well as flight delays are minimized in as objective function. In this model, transit and non-transit passengers and also arrival and departure flights are considered. Moreover, operational safety constraints are inserted to avoid collision of large aircraft. The proposed model is solved by Benders decomposition approach. The model is applied in San Francisco International Airport for a 24-hour horizon. The result shows that walking time of non-transit passengers, walking time of transit passengers, delay in departure flights and delay in arrivals include 74.55, 23.32, 0.96 and 1.17 percent of the objective function, respectively.
期刊介绍:
Journal of Industrial Engineering International is an international journal dedicated to the latest advancement of industrial engineering. The goal of this journal is to provide a platform for engineers and academicians all over the world to promote, share, and discuss various new issues and developments in different areas of industrial engineering. All manuscripts must be prepared in English and are subject to a rigorous and fair peer-review process. Accepted articles will immediately appear online. The journal publishes original research articles, review articles, technical notes, case studies and letters to the Editor, including but not limited to the following fields: Operations Research and Decision-Making Models, Production Planning and Inventory Control, Supply Chain Management, Quality Engineering, Applications of Fuzzy Theory in Industrial Engineering, Applications of Stochastic Models in Industrial Engineering, Applications of Metaheuristic Methods in Industrial Engineering.