Name: HENDRIGO VENES PEREIRA
Type: MSc dissertation
Publication date: 29/03/2019
Advisor:
Name |
Role |
|---|---|
| RODRIGO DE ALVARENGA ROSA | Advisor * |
Examining board:
| Name |
Role |
|---|---|
| JOÃO LUIZ CALMON NOGUEIRA DA GAMA | Internal Examiner * |
| LEANDRO COLOMBI RESENDO | External Examiner * |
| RODRIGO DE ALVARENGA ROSA | Advisor * |
Summary: Brazilian railroads are responsiblefor 20.7% of the cargo transportation in the country, such as: iron ore, grains, steel products, cement, lime, fertilizers, petroleum products, lime, coal, clinker, containers,among others (CNT, 2018). Iron ore (FeO) represents 77.45% of the total percentage of Brazilian cargo transportation (ANTT, 2019). Among the companies in Brazilian rail market is Vale S / A, the company is responsible for the management of the Vitória Minas Railroad (EFVM). EFVM carries out theiron ore transport of the 13 Vale S / A mines in the State from Minas Gerais to the Port of Tubarão in Espírito Santo. However, the wagons return empty to load in the mines. This paper aims to propose a mathematical model of Mixed Integer Linear Programming for distribution of wagons from sorting yards to meet the demand for empty wagons in the mines. Using the CPLEX 12.8 solverto execute the model, a methodology was developed to minimize the dismemberment of lots of wagons in the sorting and origin yards, in addition to minimizing the trains' travel time. Using EFVM data, it was possible to comparethe distributions andit wasfound that CPLEXfinds optimal solutions in very low execution times, distributing batches of empty wagons with less dismembermentthan manual distributiondone by EFVM team.Keywords: Empty wagon distribution. Mixed Integer Linear Programming. Railroad operation. Railroad transportation.
