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特刊論文征集
關(guān)于“冠狀病毒疾病、中斷和事故的不確定世界中的物流和供應(yīng)鏈管理”
最近在中國發(fā)生的冠狀病毒疫情，讓我們想起了SARS、MERS、Ebola等全國范圍內(nèi)的傳染性疾病造成了大量的死亡。這種流行病可以通過一組傳染源通過幾次相互作用迅速傳播，在很短的時間內(nèi)威脅到大量人的健康。2020年1月31日，世衛(wèi)組織宣布冠狀病毒疫情為國際關(guān)注的突發(fā)公共衛(wèi)生事件（PHEIC）。這是在世界貿(mào)易受到其他干擾的時候發(fā)生的。除武漢冠狀病毒外，其他災(zāi)難，如澳大利亞的森林大火、海地地震和智利的抗議活動，都會影響供應(yīng)鏈的運營。為了穩(wěn)定經(jīng)濟活動，降低系統(tǒng)性風(fēng)險，使貿(mào)易運輸盡快恢復(fù)正常，迫切需要物流和運輸管理方面的有效應(yīng)對措施。救濟鏈中不同行動者之間的協(xié)調(diào)對于在應(yīng)急物流中提供有用和高效的反應(yīng)至關(guān)重要。
本特刊的目的是發(fā)表學(xué)者們對物流和供應(yīng)鏈管理解決方案的見解和觀點，以應(yīng)對相關(guān)挑戰(zhàn)。一些感興趣的主題可能包括但不限于：
- ?通過先進的分析方法降低流行病中的物流風(fēng)險
- 疾病傳播對供應(yīng)鏈影響的排隊模型
- ?供應(yīng)鏈和物流中病毒爆發(fā)事件的仿真
- ?應(yīng)對冠狀病毒爆發(fā)的創(chuàng)新物流模式實例
- ?大數(shù)據(jù)驅(qū)動的衛(wèi)生系統(tǒng)應(yīng)對疫情爆發(fā)的運營風(fēng)險識別
- ?運營中基于人工智能的流行病網(wǎng)絡(luò)分析
- ?應(yīng)對疾病的應(yīng)急物流設(shè)施選址優(yōu)化模型
- ?流行病風(fēng)險管理領(lǐng)域的MCDM模型
- ?如何管理未來疫情的風(fēng)險（預(yù)防、控制和治療）
- ?疫情爆發(fā)應(yīng)對模型
- ?物聯(lián)網(wǎng)在供應(yīng)鏈和物流應(yīng)對災(zāi)害中的應(yīng)用
- ?物流和供應(yīng)鏈系統(tǒng)流行病應(yīng)對風(fēng)險分析的跨學(xué)科方法和決策工具
- ?物流資源配置的應(yīng)急管理
- ?應(yīng)對不確定性的人道主義物流
- ?其他與疫情應(yīng)對中的物流和供應(yīng)鏈管理相關(guān)的主題
論文提交：
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重要日期：
稿件提交截止日期：2020年12月30日
最終決定截止日期：2021年5月31日
暫定出版日期：2021年9月31日
特邀編輯團隊（按字母順序排列）
特邀編輯團隊：
· Desheng Wu教授，desheng.wu@sbs.su.se（執(zhí)行特邀編輯）
· David L. Olson教授，內(nèi)布拉斯加州立大學(xué)，電子郵件：dolson3@unl.edu
·James H. Lambert教授，弗吉尼亞大學(xué)，美國，電子郵件：lambert@virginia.edu
· Amanda Luo副教授，中國科學(xué)院大學(xué)，電子郵箱：rcee@ucas.ac.cn
· Reza Z. Farahani副教授，倫敦金斯頓大學(xué)，電子郵件：R.Zanjiranifarahani@kingston.ac.uk