Optimizing deep neural networks to predict the effect of social distancing on COVID-19 spread [0.03%]
优化深度神经网络以预测社交距离对COVID-19传播的影响
Dixizi Liu,Weiping Ding,Zhijie Sasha Dong et al.
Dixizi Liu et al.
Deep Neural Networks (DNN) form a powerful deep learning model that can process unprecedented volumes of data. The hyperparameters of DNN have a significant influence on its prediction performance. Evolutionary algorithms (EAs) form a heuri...
An extended TODIM approach for group emergency decision making based on bidirectional projection with hesitant triangular fuzzy sets [0.03%]
基于犹豫三角模糊集双向投影的群体应急决策扩展TODIM方法
Quanyu Ding,Ying-Ming Wang,Mark Goh
Quanyu Ding
With the recent Covid-19 outbreak, group emergency decision-making (GEDM), as a new management model to pursue both social stability and decrease the negative impact of emergencies, has become highly popular. Evaluating and choosing the bes...
A resilient hybrid payment supply chain inventory model for post Covid-19 recovery [0.03%]
韧性混合支付供应链存存货模型在后Covid-19恢复中的应用
Abu Hashan Md Mashud,Md Rakibul Hasan,Yosef Daryanto et al.
Abu Hashan Md Mashud et al.
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 disco...
Elective surgery scheduling under uncertainty in demand for intensive care unit and inpatient beds during epidemic outbreaks [0.03%]
流行病暴发期间在重症监护和住院床位需求不确定情况下的选择性手术排程
Zongli Dai,Sandun C Perera,Jian-Jun Wang et al.
Zongli Dai et al.
Amid the epidemic outbreaks such as COVID-19, a large number of patients occupy inpatient and intensive care unit (ICU) beds, thereby making the availability of beds uncertain and scarce. Thus, elective surgery scheduling not only needs to ...
Designing humanitarian logistics network for managing epidemic outbreaks in disasters using Internet-of-Things. A case study: An earthquake in Salas-e-Babajani city [0.03%]
利用物联网设计人道主义物流网络以管理灾害中的疫情爆发。个案研究：萨拉斯·埃巴贾贾尼市地震
Behdad Ehsani,Hamed Karimi,Alireza Bakhshi et al.
Behdad Ehsani et al.
Along with the destructive effects of catastrophes throughout the world, the COVID-19 outbreak has intensified the severity of disasters. Although the global aid organizations and philanthropists aim to alleviate the adverse impacts, many e...
Vaccine supply chain coordination using blockchain and artificial intelligence technologies [0.03%]
使用区块链和人工智能技术进行疫苗供应链协调
Ye Gao,Hongwei Gao,Han Xiao et al.
Ye Gao et al.
Currently, the global spread of COVID-19 is taking a heavy toll on the lives of the global population. There is an urgent need to improve and strengthen the coordination of vaccine supply chains in response to this severe pandemic. In this ...
Supply chain risk management with machine learning technology: A literature review and future research directions [0.03%]
基于机器学习技术的供应链风险管理：文献回顾与未来研究方向
Mei Yang,Ming K Lim,Yingchi Qu et al.
Mei Yang et al.
Coronavirus disease 2019 (COVID-19) has placed tremendous pressure on supply chain risk management (SCRM) worldwide. Recent technological advances, especially machine learning (ML) technology, have shown the possibility to prevent supply ch...
How, When, & Where temporary hospitals fit in turbulent times: A hybrid MADM optimization in the middle east [0.03%]
动荡时期临时医院的作用：中东混合MADM优化研究
Amir Karbassi Yazdi,Farhan Muhammad Muneeb,Peter Fernandes Wanke et al.
Amir Karbassi Yazdi et al.
Governments have been challenged to provide temporary hospitals and other types of facilities to face the COVID-19 pandemic. This research proposes a novel multi-attribute decision-making (MADM) model to help determine how, when, and where ...
Hybrid combinatorial remanufacturing strategy for medical equipment in the pandemic [0.03%]
混合组合再制造策略用于流行病中的医疗器械再制造
You Shang,Sijie Li
You Shang
The COVID-19 pandemic hit the medical supply chain, creating a serious shortage of medical equipment. To meet the urgent demand, one realistic way is to collect abandoned medical equipment and then remanufacture, where the disassembled modu...
Designing a sustainable reverse supply chain network for COVID-19 vaccine waste under uncertainty [0.03%]
不确定性下的COVID-19疫苗废物可持续逆向供应链网络设计
Erfan Amani Bani,Ali Fallahi,Mohsen Varmazyar et al.
Erfan Amani Bani et al.
The vast nationwide COVID-19 vaccination programs are implemented in many countries worldwide. Mass vaccination is causing a rapid increase in infectious and non-infectious vaccine wastes, potentially posing a severe threat if there is no w...