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Optimization of production batches in a circular supply chain under uncertainty
During the covid-19 outbreak, millions of people are required to use disposable masks to protect themselves from this infectious disease. Under an exponential spread tendency of this pandemic, the conventional end of life of these plastic products is to dispose of them in landfills or to incinerate...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9605719/ http://dx.doi.org/10.1016/j.ifacol.2022.09.651 |
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author | Morjéne, Yasmine Ndhaief, Nadia Rezg, Nidhal |
author_facet | Morjéne, Yasmine Ndhaief, Nadia Rezg, Nidhal |
author_sort | Morjéne, Yasmine |
collection | PubMed |
description | During the covid-19 outbreak, millions of people are required to use disposable masks to protect themselves from this infectious disease. Under an exponential spread tendency of this pandemic, the conventional end of life of these plastic products is to dispose of them in landfills or to incinerate them. Actually, this scenario is the most optimistic one since millions of tonnes of masks are ended up in oceans. Therefore, recycling which is one of the circular economy concepts remains the key solution aiding countries to mitigate masks pollution, in addition to its role in decreasing the widespread of the disease. In this paper, we will exanimate several studies dealing with reverse logistics and circular economy, then we will develop a closed-loop supply chain design during the pandemic and translate it mathematically as a MILP model under certain and uncertain client demand. Finally, the problem will be solved using IBM ILOG Cplex Optimization Studio and the obtained results will be discussed. |
format | Online Article Text |
id | pubmed-9605719 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | , IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96057192022-10-27 Optimization of production batches in a circular supply chain under uncertainty Morjéne, Yasmine Ndhaief, Nadia Rezg, Nidhal IFAC-PapersOnLine Article During the covid-19 outbreak, millions of people are required to use disposable masks to protect themselves from this infectious disease. Under an exponential spread tendency of this pandemic, the conventional end of life of these plastic products is to dispose of them in landfills or to incinerate them. Actually, this scenario is the most optimistic one since millions of tonnes of masks are ended up in oceans. Therefore, recycling which is one of the circular economy concepts remains the key solution aiding countries to mitigate masks pollution, in addition to its role in decreasing the widespread of the disease. In this paper, we will exanimate several studies dealing with reverse logistics and circular economy, then we will develop a closed-loop supply chain design during the pandemic and translate it mathematically as a MILP model under certain and uncertain client demand. Finally, the problem will be solved using IBM ILOG Cplex Optimization Studio and the obtained results will be discussed. , IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. 2022 2022-10-26 /pmc/articles/PMC9605719/ http://dx.doi.org/10.1016/j.ifacol.2022.09.651 Text en © 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Morjéne, Yasmine Ndhaief, Nadia Rezg, Nidhal Optimization of production batches in a circular supply chain under uncertainty |
title | Optimization of production batches in a circular supply chain under uncertainty |
title_full | Optimization of production batches in a circular supply chain under uncertainty |
title_fullStr | Optimization of production batches in a circular supply chain under uncertainty |
title_full_unstemmed | Optimization of production batches in a circular supply chain under uncertainty |
title_short | Optimization of production batches in a circular supply chain under uncertainty |
title_sort | optimization of production batches in a circular supply chain under uncertainty |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9605719/ http://dx.doi.org/10.1016/j.ifacol.2022.09.651 |
work_keys_str_mv | AT morjeneyasmine optimizationofproductionbatchesinacircularsupplychainunderuncertainty AT ndhaiefnadia optimizationofproductionbatchesinacircularsupplychainunderuncertainty AT rezgnidhal optimizationofproductionbatchesinacircularsupplychainunderuncertainty |