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*

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationAdvances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Proceedings
EditorsAlexandre Dolgui, Alain Bernard, David Lemoine, Gregor von Cieminski, David Romero
Number of pages8
PublisherSpringer Science+Business Media
Publication date2021
Pages641-648
ISBN (Print)9783030859091
DOIs
Publication statusPublished - 2021
EventIFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2021 - Nantes, France
Duration: 5 Sep 20219 Sep 2021

Conference

ConferenceIFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2021
Country/TerritoryFrance
CityNantes
Period05/09/202109/09/2021
SeriesI F I P Advances in Information and Communication Technology
Volume633 IFIP
ISSN1868-4238

Bibliographical note

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

Keywords

  • Distribution model
  • Eco-efficiency
  • Sustainable distribution

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