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.
|Titel||Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Proceedings|
|Redaktører||Alexandre Dolgui, Alain Bernard, David Lemoine, Gregor von Cieminski, David Romero|
|Forlag||Springer Science+Business Media|
|Status||Udgivet - 2021|
|Begivenhed||IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2021 - Nantes, Frankrig|
Varighed: 5 sep. 2021 → 9 sep. 2021
|Konference||IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2021|
|Periode||05/09/2021 → 09/09/2021|
|Navn||I F I P Advances in Information and Communication Technology|
Bibliografisk noteFunding Information:
We want to thank the ?KS-Interreg program for supporting the Value2Sea project, which this article is a part of.
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