Development of an Eco-efficiency Distribution Model: A Case Study of a Danish Wholesaler

Malte Herold Jeberg, Simon Hummelshøj Sloth, Janus Haslund Løgtved, Hans Henrik Hvolby, Kenn Steger-Jensen*

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Abstrakt

A decision model is presented to support selecting the best distribution to optimise earnings and minimise environmental impact. The model has been tested on a Danish wholesaler that wants to sell its goods on the Norwegian market. In this connection, they must therefore choose how the goods are to be distributed. Via the decision model, it is possible to choose the distribution and mode of transport they need for the individual markets, as it is not always the same modes of transport that are optimal for all markets. Thus, the model supports and shows that it is possible to optimise the company’s earning capacity and minimise environmental impact by choosing the proper distribution. Furthermore, national requirements for reducing carbon can be expected to affect taxes and duties, which is why a sensitivity analysis has been prepared, which shows the effect of increasing carbon taxes on the contribution margin in the optimal modes of transport.

OriginalsprogEngelsk
TitelAdvances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Proceedings
RedaktørerAlexandre Dolgui, Alain Bernard, David Lemoine, Gregor von Cieminski, David Romero
Antal sider8
ForlagSpringer Science+Business Media
Publikationsdato2021
Sider641-648
ISBN (Trykt)9783030859091
DOI
StatusUdgivet - 2021
BegivenhedIFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2021 - Nantes, Frankrig
Varighed: 5 sep. 20219 sep. 2021

Konference

KonferenceIFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2021
Land/OmrådeFrankrig
ByNantes
Periode05/09/202109/09/2021
NavnI F I P Advances in Information and Communication Technology
Vol/bind633 IFIP
ISSN1868-4238

Bibliografisk note

Funding Information:
We want to thank the ?KS-Interreg program for supporting the Value2Sea project, which this article is a part of.

Publisher Copyright:
© 2021, IFIP International Federation for Information Processing.

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