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An integrated System Dynamics model for Closed Loop Supply Chains under disaster effects: The case of COVID-19

For a Closed Loop Supply Chain (CLSC), disaster is a risk source of unknown-unknowns, which may result in production disruptions with significant consequences on -but not limited to-profitability. For this reason, we provide a System Dynamics (SD)-based analysis for disaster events on the operation...

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Autores principales: Katsoras, Efthymios, Georgiadis, Patroklos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9375857/
https://www.ncbi.nlm.nih.gov/pubmed/35991366
http://dx.doi.org/10.1016/j.ijpe.2022.108593
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author Katsoras, Efthymios
Georgiadis, Patroklos
author_facet Katsoras, Efthymios
Georgiadis, Patroklos
author_sort Katsoras, Efthymios
collection PubMed
description For a Closed Loop Supply Chain (CLSC), disaster is a risk source of unknown-unknowns, which may result in production disruptions with significant consequences on -but not limited to-profitability. For this reason, we provide a System Dynamics (SD)-based analysis for disaster events on the operation of CLSCs in order to study the system response (production/collection/disassembly/remanufacturing/recycling rates, inventories, cost, profit). This response is examined through the dynamics at a manufacturer, parts producer, collector, and disassembly center level, by providing control mechanisms for resilient CLSCs under disaster effects. In this dynamic analysis, COVID-19 is treated as a disaster event. Five different business scenario settings are presented for the manufacturer, which are considered as alternative mitigation policies in responding to product demand. The extensive simulation results provide insights for policy-makers, which depend on the reduction in manufacturer's production, reduction in product demand and duration of recovery period which are considered as causal effects due to the COVID-19 outbreak. For all combinations, holding base stocks during the pre-disaster period is proposed as the best mitigation policy in terms of manufacturer's inventory. In terms of economic impact, holding base stocks or coordination with third party are revealed as the best choice depending on the combination, while remote inventory policy adoption as the worst choice.
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spelling pubmed-93758572022-08-15 An integrated System Dynamics model for Closed Loop Supply Chains under disaster effects: The case of COVID-19 Katsoras, Efthymios Georgiadis, Patroklos Int J Prod Econ Article For a Closed Loop Supply Chain (CLSC), disaster is a risk source of unknown-unknowns, which may result in production disruptions with significant consequences on -but not limited to-profitability. For this reason, we provide a System Dynamics (SD)-based analysis for disaster events on the operation of CLSCs in order to study the system response (production/collection/disassembly/remanufacturing/recycling rates, inventories, cost, profit). This response is examined through the dynamics at a manufacturer, parts producer, collector, and disassembly center level, by providing control mechanisms for resilient CLSCs under disaster effects. In this dynamic analysis, COVID-19 is treated as a disaster event. Five different business scenario settings are presented for the manufacturer, which are considered as alternative mitigation policies in responding to product demand. The extensive simulation results provide insights for policy-makers, which depend on the reduction in manufacturer's production, reduction in product demand and duration of recovery period which are considered as causal effects due to the COVID-19 outbreak. For all combinations, holding base stocks during the pre-disaster period is proposed as the best mitigation policy in terms of manufacturer's inventory. In terms of economic impact, holding base stocks or coordination with third party are revealed as the best choice depending on the combination, while remote inventory policy adoption as the worst choice. Elsevier B.V. 2022-11 2022-08-14 /pmc/articles/PMC9375857/ /pubmed/35991366 http://dx.doi.org/10.1016/j.ijpe.2022.108593 Text en © 2022 Elsevier B.V. All rights reserved. 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
Katsoras, Efthymios
Georgiadis, Patroklos
An integrated System Dynamics model for Closed Loop Supply Chains under disaster effects: The case of COVID-19
title An integrated System Dynamics model for Closed Loop Supply Chains under disaster effects: The case of COVID-19
title_full An integrated System Dynamics model for Closed Loop Supply Chains under disaster effects: The case of COVID-19
title_fullStr An integrated System Dynamics model for Closed Loop Supply Chains under disaster effects: The case of COVID-19
title_full_unstemmed An integrated System Dynamics model for Closed Loop Supply Chains under disaster effects: The case of COVID-19
title_short An integrated System Dynamics model for Closed Loop Supply Chains under disaster effects: The case of COVID-19
title_sort integrated system dynamics model for closed loop supply chains under disaster effects: the case of covid-19
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9375857/
https://www.ncbi.nlm.nih.gov/pubmed/35991366
http://dx.doi.org/10.1016/j.ijpe.2022.108593
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