Track: Logistics

Abstract

Logistics hub location problem is a trending topic both academically and among competing countries. Many authors were interested in selecting this kind of problems and especially in the last 20 years. However, most of the published works were focused on improving and developing solution techniques rather than implementing those techniques into real-life cases. Thus, only limited number of literatures had considered real-life aspects in locating logistics hubs within specific regions. 15 papers were found to be relevant with 3 main families of implemented tools and techniques in several different regions. Tools like spatial modeling and optimization modeling were usually linked with macro level allocation phases, while ordering and ranking criteria are usually applied on micro level phases to select set of alternatives or arrange/sort them according to some determined factors. This paper aims to analyze and benchmark different practical cases, and illustrate the use of different allocation models.Logistics hub location problem is a trending topic both academically and among competing countries. Many authors were interested in selecting this kind of problems and especially in the last 20 years. However, most of the published works were focused on improving and developing solution techniques rather than implementing those techniques into real-life cases. Thus, only limited number of literatures had considered real-life aspects in locating logistics hubs within specific regions. 15 papers were found to be relevant with 3 main families of implemented tools and techniques in several different regions. Tools like spatial modeling and optimization modeling were usually linked with macro level allocation phases, while ordering and ranking criteria are usually applied on micro level phases to select set of alternatives or arrange/sort them according to some determined factors. This paper aims to analyze and benchmark different practical cases, and illustrate the use of different allocation models.