Abstract
Original language | English |
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Place of Publication | Eindhoven |
Publisher | Technische Universiteit Eindhoven |
Number of pages | 30 |
Publication status | Published - 2014 |
Publication series
Name | BETA publicatie : working papers |
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Volume | 451 |
ISSN (Print) | 1386-9213 |
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Transportation cost and CO2 emissions in location decision models. / Velazquez Martinez, J.C.; Fransoo, J.C.; Blanco, E.E.; Mora-Vargas, J.
Eindhoven : Technische Universiteit Eindhoven, 2014. 30 p. (BETA publicatie : working papers; Vol. 451).Research output: Book/Report › Report › Academic
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 -