The problem of decreasing truck transportation costs for Mexican firms is of great interest and a challenge due to the currently deficient supply structure. This work deals with the case of leading Mexican tobacco manufacturer that requires a reduction of its outbound transportation cost under a declining market scenario. The approach applied to achieve the objective includes the elimination of...

Recent years, spatial data and observed data, such as digital road map, traffic route, vehicle speed, recordings events and others, are integrated and stored into the spatial temporal database systems. Various location-based services by using mobile phone are also becoming popular. In this paper, we focus on one of GIS-based scheduling applications concerning the availability of GPS technologie...

 In this research, a tri-objective mathematical model is proposed for the Transportation-Location-Routing problem. The model considers a three-echelon supply chain and aims to minimize total costs, maximize the minimum reliability of the traveled routes and establish a well-balanced set of routes. In order to solve the proposed model, four metaheuristic algorithms, including Multi-Objective Gre...

This memo describes research challenges for Information-Centric Networking. Information-Centric Networking is an approach to evolve the Internet infrastructure to directly support information distribution by introducing uniquely named data as a core Internet principle. Data becomes independent from location, application, storage, and means of transportation, enabling in-network caching and repl...

A wide spectrum of “real world” problems, such as vehicle routing, machine and crew scheduling, facility location, portfolio analysis, electricity generation planning, and communication and transportation network design, demands the use of combinatorial optimization methods. By a combinatorial optimization problem, we mean a program where a linear or nonlinear objective function must be optimiz...

this research presents and solves a new mathematical model for school bus routing problem (sbrp). sbrp is a specific case of vehicle routing problem (vrp). despite prevalent models, this model includes location and routing simultaneously. besides, the vehicles are non-homogenous. in addition, instead of locating schools which are the depots, we consider locating bus stops that are mentioned &ap...

In this paper, we address the Two-Echelon Vehicle Routing Problem (2E-VRP) in which freight is delivered from depots to intermediary satellites, from where it is delivered to customers. Different from other multi-level problems, the focus in 2E-VRP is on the global routing costs of the overall network. 2E-VRP has been recently introduced and, to our knowledge, there are no studies of the impact...

This memo describes research challenges for Information-Centric Networking. Information-Centric Networking is an approach to evolve the Internet infrastructure to directly support information distribution by introducing uniquely named data as a core Internet principle. Data becomes independent from location, application, storage, and means of transportation, enabling in-network caching and repl...

In this paper, we propose a new mathematical model for Capacitated Inventory Routing Problem (CIRP), which considers freshly delivery of perishable products to the customers’ location; otherwise, a reduction in products’ demand may occur. Therefore, we attempt to plan delivering process of products at the right time to avoid extra inventory causing increase in age of products. This ...

Hazardous Materials transportation risk mitigation may be achieved by reducing the accident probability and alleviating the associated potential consequences. The consideration of risk as a criterion for selecting Hazardous Materials distribution routes contributes substantially to the reduction of accident probability and the severity of the accident consequences. Furthermore the optimum deplo...