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一种用于新冠疫情后复苏的弹性混合支付供应链库存模型。

A resilient hybrid payment supply chain inventory model for post Covid-19 recovery.

作者信息

Mashud Abu Hashan Md, Hasan Md Rakibul, Daryanto Yosef, Wee Hui-Ming

机构信息

Department of Mathematics, Hajee Mohammad Danesh Science and Technology University, Dinajpur 5200, Bangladesh.

Division of Engineering Management and Decision Sciences, College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.

出版信息

Comput Ind Eng. 2021 Jul;157:107249. doi: 10.1016/j.cie.2021.107249. Epub 2021 Mar 22.

DOI:10.1016/j.cie.2021.107249
PMID:36567962
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9759093/
Abstract

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.

摘要

当前的新冠疫情总体上给市场和企业带来了干扰,对供应链库存系统的影响最为显著。这项工作研究了一种混合支付库存模型,该模型考虑了通货膨胀、现金折扣、价格敏感需求以及针对非即时变质产品的保鲜技术投资。由于经济衰退,提出了一种由多次预付款和延迟付款组成的混合支付方案,以促进新冠疫情后的复苏。所提出的模型是首批鉴于新冠疫情而考虑混合支付方案的模型之一,并为零售商在考虑疫情形势的情况下规划销售价格、补货期和保鲜投资提供指导方针。在金融危机期间建议采用混合支付政策,以维持零售商向供应商以及消费者向零售商的订单。在供应中断期间,研究了短缺和无短缺两种情况。非线性模型通过Lingo 17软件求解。本研究展示了预付款和延迟付款对零售商总利润的影响。研究还表明,总利润对通货膨胀率极为敏感。数值示例说明了不同场景下的库存模型。进行敏感性分析,以便在新冠疫情后复苏期间为管理层提供管理见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f3d/9759093/404a0db290fd/gr7_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f3d/9759093/f7468d104cc5/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f3d/9759093/bc1336f0c474/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f3d/9759093/2a1f1af658de/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f3d/9759093/edc99136c584/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f3d/9759093/a89fcc394bf2/gr5_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f3d/9759093/902d1a2c9523/gr6_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f3d/9759093/404a0db290fd/gr7_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f3d/9759093/f7468d104cc5/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f3d/9759093/bc1336f0c474/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f3d/9759093/2a1f1af658de/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f3d/9759093/edc99136c584/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f3d/9759093/a89fcc394bf2/gr5_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f3d/9759093/902d1a2c9523/gr6_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f3d/9759093/404a0db290fd/gr7_lrg.jpg

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Managing uncertainty during a global pandemic: An international business perspective.在全球大流行期间应对不确定性:国际商务视角
J Bus Res. 2020 Aug;116:188-192. doi: 10.1016/j.jbusres.2020.05.026. Epub 2020 May 25.