Logistics and Supply Chain Management in an Uncertain World with Coronavirus Diseases, Disruptions, and Accidents

  in Special Issue   Posted on September 28, 2020

Information for the Special Issue

Special Issue Call for Papers:

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:

Submitted articles must not have been previously published or currently submitted for journal publication elsewhere. Please follow the submission guidelines which can be found from the journal website. Each paper will go through a rigorous double-blind review process, following the high standard of the journal. Submission process and papers must adhere to the normal author guidelines of Transportation Research Part E: Logistics and Transportation Review, which can be found at: https://www.elsevier.com/journals/transportation-research-part-e-logistics-and-transportation-review/1366-5545/guide-for-authors

Submission must be made via https://www.evise.com/profile/api/navigate/TRE with clear selection indicating that the submission is for this Special Issue.

All submissions to the Journal TRE: should be submitted via the Transportation Research Part E online submission system.

When you submit your paper to the special section, please choose article type “LSCM – COV Diseases” otherwise your submission will be handled as a regular manuscript.

Papers submitted to the Special Issue will be subjected to normal thorough double-blind review process.

Important Dates:

Deadline of Manuscript Submission: 30 December 2020

Final Decision Due: 31 May 2021

Tentative Publication Date: 31 September 2021


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

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