Call for Papers for Special Issue of Transportation Research Part E
on "Logistics and Supply Chain Management in an Uncertain World with Coronavirus Diseases, Disruptions, and Accidents"
The recent outbreak of coronavirus occurred in China reminds us the horror of countrywide epidemic sickness like SARS, MERS, Ebola, etc. which have resulted in a great number of deaths. Such epidemics can rapidly spread by a group of infectious agents through several interactions, threatening the health of a large number of people in very little time. On 31 January 2020, the WHO declared the coronavirus outbreak a Public Health Emergency of International Concern (PHEIC). This comes at a time where other disruptions to world trade are occurring. In addition to the Wuhan coronavirus, other disasters such as bushfires across Australia, Haiti earthquake, and Chilean protests all impact supply chain operations. Effective responses in logistics and transportation management are desperately needed to stabilize economic activities, reduce systematic risks and restore trade traffic back to normal as soon as possible. The coordination among the different actors in relief chains is crucial to provide an effective and efficient response in emergency logistics.
The purpose of this Transportation Research Part E’s special issue is to publish insights and viewpoints from scholars regarding solutions from logistics and supply chain management to cope with the related challenges. Some topics of interest may include but are not limited to:
- Mitigate logistics risk in epidemics with advanced analytics
- Queuing modeling in disease spread impacts on supply chains
- Simulation of virus outbreak events in supply chain and logistics
- Real cases on innovative logistics models to cope with coronavirus outbreak
- Big data-driven health system response to epidemic outbreaks on operations risk identification
- AI-based epidemic network analysis in operations
- Facility location optimization model for emergency logistics in the presence of diseases
- MCDM models in the field of epidemic risk management
- How to manage the risk of future outbreaks (prevention, control and treatment)
- Response models during epidemic outbreaks
- IoT applications in supply chain and logistics to deal with disasters
- Interdisciplinary approaches and decision-making tools in epidemic response risk analysis in logistics and supply chain systems
- Emergency management of resource allocation in logistics
- Humanitarian logistics dealing with uncertainties
- Other topics related to logistic and supply chain management in epidemic response
Paper Submission:
Important Dates:
Guest Editorial Team (listed alphabetically)
Guest Editorial Team:
·Professor Desheng Wu, my Email can be desheng.wu@sbs.su.se (Managing Guest Editor)
·Professor David L. Olson, University of Nebraska, E-mail: dolson3@unl.edu
·Professor James H. Lambert, University of Virginia, United States, E-mail: lambert@virginia.edu
·Associate Professor Amanda Luo, University of Chinese Academy of Sciences, E-mail: rcee@ucas.ac.cn
·Associate Professor Reza Z. Farahani, Kingston University London, E-mail: R.Zanjiranifarahani@kingston.ac.uk
Transportation Research Part E特刊论文征集
关于“冠状病毒疾病、中断和事故的不确定世界中的物流和供应链管理”
最近在中国发生的冠状病毒疫情,让我们想起了SARS、MERS、Ebola等全国范围内的传染性疾病造成了大量的死亡。这种流行病可以通过一组传染源通过几次相互作用迅速传播,在很短的时间内威胁到大量人的健康。2020年1月31日,世卫组织宣布冠状病毒疫情为国际关注的突发公共卫生事件(PHEIC)。这是在世界贸易受到其他干扰的时候发生的。除武汉冠状病毒外,其他灾难,如澳大利亚的森林大火、海地地震和智利的抗议活动,都会影响供应链的运营。为了稳定经济活动,降低系统性风险,使贸易运输尽快恢复正常,迫切需要物流和运输管理方面的有效应对措施。救济链中不同行动者之间的协调对于在应急物流中提供有用和高效的反应至关重要。
本特刊的目的是发表学者们对物流和供应链管理解决方案的见解和观点,以应对相关挑战。一些感兴趣的主题可能包括但不限于:
- 通过先进的分析方法降低流行病中的物流风险
- 疾病传播对供应链影响的排队模型
- 供应链和物流中病毒爆发事件的仿真
- 应对冠状病毒爆发的创新物流模式实例
- 大数据驱动的卫生系统应对疫情爆发的运营风险识别
- 运营中基于人工智能的流行病网络分析
- 应对疾病的应急物流设施选址优化模型
- 流行病风险管理领域的MCDM模型
- 如何管理未来疫情的风险(预防、控制和治疗)
- 疫情爆发应对模型
- 物联网在供应链和物流应对灾害中的应用
- 物流和供应链系统流行病应对风险分析的跨学科方法和决策工具
- 物流资源配置的应急管理
- 应对不确定性的人道主义物流
- 其他与疫情应对中的物流和供应链管理相关的主题
论文提交:
所提交的文章不得已发表或目前已提交其他期刊发表。请遵循期刊网站上的提交指南。每一篇论文都要经过严格的双盲评审过程,遵循期刊的高标准。提交过程和论文必须遵守Transportation Research Part E: Logistics and Transportation Review的一般作者指南,可在以下网址找到:https://www.elsevier.com/journals/transportation-research-part-e-logistics-and-transportation-review/1366-5545/guide-for-authors
必须通过https://www.evise.com/profile/api/navigate/TRE提交,并明确的选择表明提交的是本期特刊。
所有提交给TRE期刊的论文应通过TRE在线提交系统提交。
当你把你的论文交给特别组时,请选择文章类型“LSCM - COV Diseases”,否则你的投稿将作为常规稿件处理。
提交给特刊的论文将接受正常的、彻底的双盲审查程序。
重要日期:
稿件提交截止日期:2020年12月30日
最终决定截止日期:2021年5月31日
暂定出版日期:2021年9月31日
特邀编辑团队(按字母顺序排列)
特邀编辑团队:
· Desheng Wu教授,desheng.wu@sbs.su.se(执行特邀编辑)
· David L. Olson教授,内布拉斯加州立大学,电子邮件:dolson3@unl.edu
·James H. Lambert教授,弗吉尼亚大学,美国,电子邮件:lambert@virginia.edu
· Amanda Luo副教授,中国科学院大学,电子邮箱:rcee@ucas.ac.cn
· Reza Z. Farahani副教授,伦敦金斯顿大学,电子邮件:R.Zanjiranifarahani@kingston.ac.uk