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Setting Resilience Function in the Supply Chain Networks

This special issue belongs to the section “Sustainable Engineering and Science“.

Special Issue Information

Dear Colleagues,

The catastrophic events of recent years have shown how global business is vulnerable to unexpected and catastrophic events and have also changed the concept of disaster preparedness.

It is very likely that these events could potentially cause supply disruptions, which could have a large impact on small to large businesses throughout the complex global network. In this context of the ever-growing numbers of natural and man-made disasters, businesses in all sectors have strongly demonstrated the recent need for a change in the traditional strategies; this is particularly true for companies that are dependent on timely delivery of materials. Unfortunately, there is no way to avoid these risks. However, it has been noted that some organizations have been able to overcome these circumstances better than others. These organizations share one crucial characteristic: resilience.

Although literature has discussed several ways to increase the resilience of a single company that is part of the network system, it fails to capture a holistic view of the supply chain network. With this topic, we would like to analyze a Systematic Literature Review (SLR) in order to obtain comprehensive coverage and an analysis of the related literature. As a result of this SLR, we would like to identify the most interesting publications, authors and the most interesting techniques to investigate the near future. We are interested in understanding if there is a well-defined resilience structure; if there are procedures to evaluate or measure the resilience capabilities of a supply chain; which are the modelling and simulation techniques in use and which ones should be studied in the near future.

Prof. Dr. Elpidio Romano
Prof. Dr. Andrea Falegnami
Guest Editors

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Keywords

  • resilience networks
  • resilient structures
  • supply chain management decision-making and strategies
  • construction techniques of resilient systems
  • simulation modeling to manage scenario analysis
  • resilience in the reverse logistics operations
  • operational sustainability
  • environmental and energy impacts
  • social impact
  • economic effects of network resilient strategies

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Sustainability - ISSN 2071-1050