Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2023)

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Supply chain optimization using reverse logistics and information systems

Authors
Bajjou Yousra1, *, Mohamed El Merouani1
1The Numerical Analysis and Nonlinear Analysis Laboratory (LaR2A), Faculty of Sciences, Abdelmalek Essaadi University, Tetouan, Morocco
*Corresponding author. Email: y.bajjou@uae.ac.ma
Corresponding Author
Bajjou Yousra
Available Online 5 February 2024.
DOI
10.2991/978-94-6463-360-3_36How to use a DOI?
Keywords
Reverse logistics; Optimization; Supply chain; Information systems; Modeling
Abstract

Different enterprises today ensure the taking into consideration of the flows in the management of their supply chains due to environmental legislation, eco-logical and economic interests. Environmental, ecological and economical interests.

Reverse logistics is strongly related to information systems, as these systems can provide the necessary data to model trends in demand and use them to make informed logistic decisions.

Through this paper, we present the link between information systems and the supply chain. First, we define reverse logistics and its evolution over time. In a second step, we define the different information systems that can be used in re-verse logistics. These systems can work together to improve the efficiency and profitability of reverse logistics according to the needs and objectives of each enterprise. And finally, in the last part of our paper, we present the process to model reverse logistics through information systems and their impacts on entprises in order to have a precise view of their reverse logistics activities, which can help them make more informed decisions and improve their efficiency and profitability.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2023)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
5 February 2024
ISBN
10.2991/978-94-6463-360-3_36
ISSN
2667-128X
DOI
10.2991/978-94-6463-360-3_36How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Bajjou Yousra
AU  - Mohamed El Merouani
PY  - 2024
DA  - 2024/02/05
TI  - Supply chain optimization using reverse logistics and information systems
BT  - Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2023)
PB  - Atlantis Press
SP  - 364
EP  - 369
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-360-3_36
DO  - 10.2991/978-94-6463-360-3_36
ID  - Yousra2024
ER  -