Network Design Model for Fuel Retail

A small chain of gas stations in Brazil intends to expand to new retail locations. Which factors should it consider when locating new stations, in order to better leverage a combination of product prices and transportation costs? This work develops a Linear Optimization network design model in orde...

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Main Authors: Castro, Fabio Amaral de, Mulama, Bonaventure
Format: Other
Language:en_US
Published: Massachusetts Institute of Technology 2018
Online Access:http://hdl.handle.net/1721.1/117611
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author Castro, Fabio Amaral de
Mulama, Bonaventure
author_facet Castro, Fabio Amaral de
Mulama, Bonaventure
author_sort Castro, Fabio Amaral de
collection MIT
description A small chain of gas stations in Brazil intends to expand to new retail locations. Which factors should it consider when locating new stations, in order to better leverage a combination of product prices and transportation costs? This work develops a Linear Optimization network design model in order to identify the best locations, supply origins and distribution routes that yield optimized profits. Through the Linear Optimization model and Monte-Carlo simulation, we identify that, by modeling the entire network and the route topographies, the model is expected to deliver profits 7% higher than is the case currently. These factors, however, do not seem to be as significant as station-specific factors such as operating costs, sales volume and price policy – factors beyond the scope of this work.
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spelling mit-1721.1/1176112019-04-09T16:09:11Z Network Design Model for Fuel Retail Castro, Fabio Amaral de Mulama, Bonaventure A small chain of gas stations in Brazil intends to expand to new retail locations. Which factors should it consider when locating new stations, in order to better leverage a combination of product prices and transportation costs? This work develops a Linear Optimization network design model in order to identify the best locations, supply origins and distribution routes that yield optimized profits. Through the Linear Optimization model and Monte-Carlo simulation, we identify that, by modeling the entire network and the route topographies, the model is expected to deliver profits 7% higher than is the case currently. These factors, however, do not seem to be as significant as station-specific factors such as operating costs, sales volume and price policy – factors beyond the scope of this work. 2018-09-04T15:38:39Z 2018-09-04T15:38:39Z 2018 Other http://hdl.handle.net/1721.1/117611 en_US application/pdf Massachusetts Institute of Technology
spellingShingle Castro, Fabio Amaral de
Mulama, Bonaventure
Network Design Model for Fuel Retail
title Network Design Model for Fuel Retail
title_full Network Design Model for Fuel Retail
title_fullStr Network Design Model for Fuel Retail
title_full_unstemmed Network Design Model for Fuel Retail
title_short Network Design Model for Fuel Retail
title_sort network design model for fuel retail
url http://hdl.handle.net/1721.1/117611
work_keys_str_mv AT castrofabioamaralde networkdesignmodelforfuelretail
AT mulamabonaventure networkdesignmodelforfuelretail