Authors:
Théo Le Brun
1
;
2
;
Marie-José Huguet
2
;
Sandra Ngueveu
2
and
Romulus Grigoras
1
Affiliations:
1
OneStock, Toulouse, France
;
2
LAAS-CNRS, Université de Toulouse, CNRS, INP, INSA, Toulouse, France
Keyword(s):
Order Orchestration, Transportation Problem, e-Commerce, Sustainability.
Abstract:
To get involved in the fight against climate change, e-commerce actors should reduce the environmental impact of their activities. For retailers, a key challenge to is identify the stock sources for fulfilling online orders. In this paper, our goal is to orchestrate orders while minimizing the associated environmental impact. We propose a model of Green Transportation Problem for E-commerce Deliveries (GTP-ED) which can be seen as a general case of Fixed Charge Transportation Problem. We detail how we obtain the environmental objective function and how we generate instances based on real world and realistic data and that good quality solutions can be obtained quickly. Then, we show the relevance of our environmental objective function by comparing the results with an orchestration based on minimizing the distance traveled by the parcels, which leads to a 30% increase of environmental cost. Finally, we compare the GTP-ED with an economic approach and outline a significant tension betw
een our environmental and economic objectives in that context.
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