TY - BOOK
T1 - Transportation cost and CO2 emissions in location decision models
AU - Velazquez Martinez, J.C.
AU - Fransoo, J.C.
AU - Blanco, E.E.
AU - Mora-Vargas, J.
PY - 2014
Y1 - 2014
N2 - An increasing number of companies are making their supply chains more sustainable. Because transportation accounts for a large share of global CO2 emissions, finding logistics alternatives that reduce carbon emissions while keeping costs low is a priority. In this article, we study the trade-off between cost and CO2 emissions by using a multiobjective approach for the facility location problem. We propose a model with new cost and CO2 structures for the p-Median problem to determine a sustainable location. To solve this problem, we develop the multiobjective combinatorial optimization cross-entropy method, to address the difficulties of combinatorial models. We test the algorithm against two p-Median problems from prior literature and show that it can approximate the Pareto frontier efficiently. We also conduct an experimental study for a consumer packaged goods company in Mexico City to provide insights on the structure of the Pareto frontier for a practical sustainable facility location case. The study shows that by selectively changing a subset of locations, companies may achieve a substantial reduction in carbon emissions under similar costs
AB - An increasing number of companies are making their supply chains more sustainable. Because transportation accounts for a large share of global CO2 emissions, finding logistics alternatives that reduce carbon emissions while keeping costs low is a priority. In this article, we study the trade-off between cost and CO2 emissions by using a multiobjective approach for the facility location problem. We propose a model with new cost and CO2 structures for the p-Median problem to determine a sustainable location. To solve this problem, we develop the multiobjective combinatorial optimization cross-entropy method, to address the difficulties of combinatorial models. We test the algorithm against two p-Median problems from prior literature and show that it can approximate the Pareto frontier efficiently. We also conduct an experimental study for a consumer packaged goods company in Mexico City to provide insights on the structure of the Pareto frontier for a practical sustainable facility location case. The study shows that by selectively changing a subset of locations, companies may achieve a substantial reduction in carbon emissions under similar costs
M3 - Report
T3 - BETA publicatie : working papers
BT - Transportation cost and CO2 emissions in location decision models
PB - Technische Universiteit Eindhoven
CY - Eindhoven
ER -