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A resilient hybrid payment supply chain inventory model for post Covid-19 recovery
The present Covid-19 pandemic causes disruptions to markets and businesses in general, affecting the supply chain inventory system most significantly. This work investigates a hybrid payment inventory model considering inflation, cash discount, price-sensitive demand, and preservation technology inv...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9759093/ https://www.ncbi.nlm.nih.gov/pubmed/36567962 http://dx.doi.org/10.1016/j.cie.2021.107249 |
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author | Mashud, Abu Hashan Md Hasan, Md. Rakibul Daryanto, Yosef Wee, Hui-Ming |
author_facet | Mashud, Abu Hashan Md Hasan, Md. Rakibul Daryanto, Yosef Wee, Hui-Ming |
author_sort | Mashud, Abu Hashan Md |
collection | PubMed |
description | The present Covid-19 pandemic causes disruptions to markets and businesses in general, affecting the supply chain inventory system most significantly. This work investigates a hybrid payment inventory model considering inflation, cash discount, price-sensitive demand, and preservation technology investment for non-instantaneous deteriorating products. Due to the economic downturn, a hybrid payment scheme composed of multiple prepayments and a delay in payment is proposed to facilitate post Covid-19 recovery. The proposed model is one of the first models to consider a hybrid payment scheme in view of the Covid-19 pandemic, and to provide guidelines to retailers in planning the selling price, replenishment period, and preservation investment in view of the pandemic situation. The hybrid payment policy is suggested during the financial crisis to sustain orders from a retailer to the supplier and from the consumers to the retailer. During the supply disruptions, two cases for shortages and without shortages are studied. The nonlinear model is solved by Lingo 17 software. This study shows the effect of advance and delayed payments on the retailer’s total profit. It also shows that the total profit is extremely delicate to the inflation rate. The numerical examples illustrate the inventory model for different scenarios. Sensitivity analysis is carried out to provide managerial insights to management during post Covid-19 recovery. |
format | Online Article Text |
id | pubmed-9759093 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97590932022-12-19 A resilient hybrid payment supply chain inventory model for post Covid-19 recovery Mashud, Abu Hashan Md Hasan, Md. Rakibul Daryanto, Yosef Wee, Hui-Ming Comput Ind Eng Article The present Covid-19 pandemic causes disruptions to markets and businesses in general, affecting the supply chain inventory system most significantly. This work investigates a hybrid payment inventory model considering inflation, cash discount, price-sensitive demand, and preservation technology investment for non-instantaneous deteriorating products. Due to the economic downturn, a hybrid payment scheme composed of multiple prepayments and a delay in payment is proposed to facilitate post Covid-19 recovery. The proposed model is one of the first models to consider a hybrid payment scheme in view of the Covid-19 pandemic, and to provide guidelines to retailers in planning the selling price, replenishment period, and preservation investment in view of the pandemic situation. The hybrid payment policy is suggested during the financial crisis to sustain orders from a retailer to the supplier and from the consumers to the retailer. During the supply disruptions, two cases for shortages and without shortages are studied. The nonlinear model is solved by Lingo 17 software. This study shows the effect of advance and delayed payments on the retailer’s total profit. It also shows that the total profit is extremely delicate to the inflation rate. The numerical examples illustrate the inventory model for different scenarios. Sensitivity analysis is carried out to provide managerial insights to management during post Covid-19 recovery. Elsevier Ltd. 2021-07 2021-03-22 /pmc/articles/PMC9759093/ /pubmed/36567962 http://dx.doi.org/10.1016/j.cie.2021.107249 Text en © 2021 Elsevier Ltd. 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 Mashud, Abu Hashan Md Hasan, Md. Rakibul Daryanto, Yosef Wee, Hui-Ming A resilient hybrid payment supply chain inventory model for post Covid-19 recovery |
title | A resilient hybrid payment supply chain inventory model for post Covid-19 recovery |
title_full | A resilient hybrid payment supply chain inventory model for post Covid-19 recovery |
title_fullStr | A resilient hybrid payment supply chain inventory model for post Covid-19 recovery |
title_full_unstemmed | A resilient hybrid payment supply chain inventory model for post Covid-19 recovery |
title_short | A resilient hybrid payment supply chain inventory model for post Covid-19 recovery |
title_sort | resilient hybrid payment supply chain inventory model for post covid-19 recovery |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9759093/ https://www.ncbi.nlm.nih.gov/pubmed/36567962 http://dx.doi.org/10.1016/j.cie.2021.107249 |
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