Production-sharing of critical resources with dynamic demand under pandemic situation: The COVID-19 pandemic [0.03%]
疫情下关键资源动态需求的生产分担机制——以COVID-19为例
Behnam Vahdani,Mehrdad Mohammadi,Simon Thevenin et al.
Behnam Vahdani et al.
The COVID-19 virus's high transmissibility has resulted in the virus's rapid spread throughout the world, which has brought several repercussions, ranging from a lack of sanitary and medical products to the collapse of medical systems. Henc...
Equitable and effective vaccine access considering vaccine hesitancy and capacity constraints [0.03%]
考虑疫苗犹豫和能力限制下的公平有效的疫苗获取途径
Irem Sengul Orgut,Nickolas Freeman,Dwight Lewis et al.
Irem Sengul Orgut et al.
The COVID-19 pandemic continues to have an unprecedented impact on people's lives and the economy worldwide. Vaccines are the strongest evidence-based defense against the spread of the disease. The release of COVID-19 vaccines to the genera...
A robust optimization problem for drone-based equitable pandemic vaccine distribution with uncertain supply [0.03%]
基于无人机的公平大流行疫苗分配的鲁棒优化问题（含不确定供应）
Xin Wang,Ruiwei Jiang,Mingyao Qi
Xin Wang
Widespread vaccination is the only way to overcome the COVID-19 global crisis. However, given the vaccine scarcity during the early outbreak of the pandemic, ensuring efficient and equitable distribution of vaccines, particularly in rural a...
Hospital dual-channel adoption decisions with telemedicine referral and misdiagnosis [0.03%]
考虑远程医疗转诊和误诊的医院双通道采纳决策模型
Jian-Jun Wang,Xinmou Zhang,Jim Junmin Shi
Jian-Jun Wang
With the rapid development of telemedicine and the impact of the COVID-19 pandemic, more and more patients are now resorting to using telemedicine channels for healthcare services. However, for hospitals, there exists a lack of managerial g...
Dynamic fair balancing of COVID-19 patients over hospitals based on forecasts of bed occupancy [0.03%]
基于床位占用预测的COVID-19患者在各医院间的动态公平平衡
Sander Dijkstra,Stef Baas,Aleida Braaksma et al.
Sander Dijkstra et al.
This paper introduces mathematical models that support dynamic fair balancing of COVID-19 patients over hospitals in a region and across regions. Patient flow is captured in an infinite server queueing network. The dynamic fair balancing mo...
A resilient, robust transformation of healthcare systems to cope with COVID-19 through alternative resources [0.03%]
通过替代资源应对COVID-19影响：医疗体系韧性变革迫在眉睫
Elham Shaker Ardakani,Niloofar Gilani Larimi,Maryam Oveysi Nejad et al.
Elham Shaker Ardakani et al.
The COVID-19 pandemic - as a massive disruption - has significantly increased the need for medical services putting an unprecedented strain on health systems. This study presents a robust location-allocation model under uncertainty to incre...
Social distancing and revenue management-A post-pandemic adaptation for railways [0.03%]
社交距离和收益管理-铁路业后疫情时代的适应措施
Md Tabish Haque,Faiz Hamid
Md Tabish Haque
The SARS-CoV-2 pandemic has had a significant impact on rail operations worldwide. Adopting control measures such as a 50% occupancy rate can contribute to a safer travel environment, though at the expense of operational efficiency. This pa...
Adaptive R&D contract for urgently needed drugs: Lessons from COVID-19 vaccine development [0.03%]
新冠疫情疫苗研发的经验教训：亟需药物的适应性研发合同
Ji-Hung Ryan Choi,Jiho Yoon,Ju Myung Song
Ji-Hung Ryan Choi
This paper analyzes an incentive contract for new vaccine research and development (R&D) under pandemic situations such as COVID-19, considering the R&D contract's adaptability to the pandemic. We study how the public sector (government) de...
Understanding systemic disruption from the Covid-19-induced semiconductor shortage for the auto industry [0.03%]
从新冠疫情导致的半导体短缺看汽车行业的系统性破坏
Vinay Ramani,Debabrata Ghosh,ManMohan S Sodhi
Vinay Ramani
Covid-19 has allowed us to study systemic disruptions that impact entire industries. This paper explores how disruptions start, propagate, and continue over time by examining the semiconductor chip shortage faced by the auto industry during...
Bi-objective optimization of a stochastic resilient vaccine distribution network in the context of the COVID-19 pandemic [0.03%]
新冠肺炎疫情下的随机弹性疫苗配送网络的双目标优化
Mehrdad Mohammadi,Milad Dehghan,Amir Pirayesh et al.
Mehrdad Mohammadi et al.
This paper develops an approach to optimize a vaccine distribution network design through a mixed-integer nonlinear programming model with two objectives: minimizing the total expected number of deaths among the population and minimizing th...