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Sustainability
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Sustainability in Emergency Supply Chain Management
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Sustainability in Emergency Supply Chain Management

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Economic and Business Aspects of Sustainability".

Deadline for manuscript submissions: closed (26 March 2023) | Viewed by 9459

Special Issue Editors

Prof. Qiuhong Zhao

E-Mail Website
Guest Editor
School of Economics and Management, Beihang University, Beijing 100191, China
Interests: production and operation management; supply chain and logistics management; emergency management; meta-heuristics algorithms
Dr. Chengfeng Wu

E-Mail Website
Guest Editor
College of Economics and Management, Qingdao University of Science and Technology, Qingdao 266061, China
Interests: green supply chain management; supply chain finance; logistics management
Dr. Yanhong Ma

E-Mail Website
Guest Editor
School of Economics and Management, Beijing Information Science & Technology University, Beijing 100192, China
Interests: decision theory and methods
Dr. Dongmei Ni

E-Mail Website
Guest Editor
School of Economics and Management, Beijing University of Agriculture, Beijing 102206, China
Interests: supply chain management; agricultural production marketing

Special Issue Information

Dear Colleagues,

Because of the outbreak of COVID-19, the world is witnessing an unprecedented upheaval in the supply chain. This upheaval increases the risk of the disruption of the supply chain and decreases its sustainability. The supply chain plays an important role in ensuring the efficiency of social emergency responses. Therefore, improving its sustainability is an important means to restore world economic development. Meanwhile, it can also help to stabilize the position of the countries in the global supply chain. Against this background, how to improve the sustainability of the supply chain in the current world situation becomes an urgent problem.

In addition, the deterioration of the global environment puts forward important requirements for the green supply chain, and emergency supply chains are no exception. Consequently, while focusing on the efficiency of emergency response, the impact of the emergency supply chain on environmental sustainability should also be considered.

In view of the above, this Special Issue stimulates a debate and discussion on the sustainability of the supply chain to cope with emergencies, as well as environmental protection issues in emergency supply chains. Topics of interest include but are not limited to the following:

  • Supply chain complexity in emergency issues;
  • Supply chain complexity in sustainable supply chains;
  • Emergency supply chain management and its sustainability;
  • Sustainable logistics management and operations;
  • Collaborative modelling for multi-objective optimization for sustainable emergency logistics;
  • Supply chain resilience;
  • Supply chain design, optimization, and data-driven modeling with consideration of sustainability;
  • Other related research topics.

Prof. Qiuhong Zhao
Dr. Chengfeng Wu
Dr. Yanhong Ma
Dr. Dongmei Ni
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • emergency supply chain
  • emergency logistics
  • sustainable supply chain
  • green supply chain
  • modeling
  • cooperation

Published Papers (4 papers)

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Research

15 pages, 297 KiB  
Article
Assessment of Vulnerability Caused by Earthquake Disasters Based on DEA: A Case Study of County-Level Units in Chinese Mainland
by Yuxin Gao, Xianrui Yu, Menghao Xi and Qiuhong Zhao
Sustainability 2023, 15(9), 7545; https://doi.org/10.3390/su15097545 - 4 May 2023
Cited by 1 | Viewed by 1465
Abstract
Earthquake activity can generate huge energy in a short period of time, bringing enormous risks to people’s lives and property safety. This poses a great challenge to regional sustainable development. Meanwhile, due to the complex mechanism, seismic activity is difficult to accurately predict. [...] Read more.
Earthquake activity can generate huge energy in a short period of time, bringing enormous risks to people’s lives and property safety. This poses a great challenge to regional sustainable development. Meanwhile, due to the complex mechanism, seismic activity is difficult to accurately predict. Therefore, it is of great significance to explore how to reduce earthquake disaster losses from the perspective of human society. In this study, we use vulnerability to reflect the relative impact of earthquake disasters on different counties. The vulnerability caused by earthquakes is calculated with the data envelopment analysis (DEA) method. We use CCR and BCC models to further decompose vulnerability into pure technology vulnerability and scale vulnerability. This study analyzes 69 earthquake disasters that occurred in the Chinese mainland from 2013 to 2020 and explores the influencing factors of pure technology vulnerability from both quantitative and qualitative perspectives. Three main conclusions are drawn. First, four factors, including the added value of the secondary industry, gross domestic product (GDP) per capita, investment density of fixed assets and energy released by earthquakes, have a significant impact on the pure technical vulnerability of counties caused by earthquake disasters. Second, in the samples under consideration, the average vulnerability of the regions with an earthquake magnitude below 5.0 is higher than that of the regions with an earthquake magnitude between 5.0 and 6.0. There are deficiencies in organization, management and facilities in regions with a small earthquake risk. Third, through qualitative analysis, it is shown that the seismic function of buildings affects the vulnerability of counties facing earthquake disasters. The results of the research can provide decision makers with new insights into earthquake prevention and disaster reduction management. Full article
(This article belongs to the Special Issue Sustainability in Emergency Supply Chain Management)
16 pages, 3009 KiB  
Article
Production Capacity Reserve Strategy of Emergency Medical Supplies: Incentive Model for Nonprofit Organizations
by Hua Xiao, Tong Xu, Huyang Xu, Yong Lin, Manjing Sun and Manyi Tan
Sustainability 2022, 14(18), 11612; https://doi.org/10.3390/su141811612 - 15 Sep 2022
Viewed by 1438
Abstract
In 2020, COVID-19 swept across the globe. To reduce the social harms caused by this public health event, nonprofit organizations (NPOs) cooperated with medical enterprises to produce reserves of emergency medical supplies. In practice, this cooperation was challenged by the different goals of [...] Read more.
In 2020, COVID-19 swept across the globe. To reduce the social harms caused by this public health event, nonprofit organizations (NPOs) cooperated with medical enterprises to produce reserves of emergency medical supplies. In practice, this cooperation was challenged by the different goals of NPOs and medical enterprises and the asymmetry of information between these parties. Enterprises are prone to irregularities or speculative behaviors that can result in insufficient production capacity during public health events, which increase disaster risks. Based on the principal–agent relationship of NPOs and enterprises, this study analyzed a game model between NPOs and enterprises under information asymmetry; constructed an incentive model for reserve emergency medical supply production capacity; and solved the optimal reward and punishment coefficients of NPOs, optimal effort level of enterprises, and benefits of disaster reduction. The study also verified the validity of the model using numerical examples and a sensitivity analysis. In taking up the findings of the study, this paper discusses the effects of several important exogenous variables on the optimal decision strategies of NPOs and enterprises and offers management-related insights for NPOs. Full article
(This article belongs to the Special Issue Sustainability in Emergency Supply Chain Management)
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23 pages, 1229 KiB  
Article
A Model for Understanding the Mediating Association of Transparency between Emerging Technologies and Humanitarian Logistics Sustainability
by Muhammad Khan, Gohar Saleem Parvaiz, Abbas Ali, Majid Jehangir, Noor Hassan and Junghan Bae
Sustainability 2022, 14(11), 6917; https://doi.org/10.3390/su14116917 - 6 Jun 2022
Cited by 15 | Viewed by 3586
Abstract
There has been considerable worldwide attention to the Internet of Things (IoT), blockchain technology (BCT), and artificial intelligence (AI) in all sectors of the economy. Despite still being in the expansion phase, the application of the IoT, BCT, and AI to humanitarian logistics [...] Read more.
There has been considerable worldwide attention to the Internet of Things (IoT), blockchain technology (BCT), and artificial intelligence (AI) in all sectors of the economy. Despite still being in the expansion phase, the application of the IoT, BCT, and AI to humanitarian logistics (HL) has drawn a lot of interest due to their significant success in other industries. Commercial and noncommercial organizations are both under growing universal pressure for transparency. Therefore, this study offers a model for understanding the mediating association of transparency between emerging technologies and HL sustainability. The partial least squares structural equation modeling (PLS-SEM) approach was used in conjunction with SmartPLS3. The software was applied to information acquired via questionnaires from 434 disaster relief workers (DRWs) chosen using the snowball sampling approach. The findings suggest that in disaster relief operations (DROs), where corruption and mismanagement in HL have been key concerns for all stakeholders, emerging technologies could be a way forward to achieving system transparency and HL sustainability. The ultimate beneficiaries of transparent and sustainable HL will be all of society, especially the victims of catastrophes. Such victims can receive proper aid on time if the appropriate technology is used in DROs, and early warnings can save many lives. This study adds to the body of knowledge by providing the first empirical evidence assessing the role of emerging technologies in HL transparency and sustainability. Full article
(This article belongs to the Special Issue Sustainability in Emergency Supply Chain Management)
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22 pages, 3133 KiB  
Article
A Location Inventory Routing Optimisation Model and Algorithm for a Remote Island Shipping Network considering Emergency Inventory
by Di Wu, Xuejun Ji, Fang Xiao and Shijie Sheng
Sustainability 2022, 14(10), 5859; https://doi.org/10.3390/su14105859 - 12 May 2022
Cited by 2 | Viewed by 1699
Abstract
This paper studies a hub-and-spoke shipping network of remote islands and integrates a maritime location inventory routing problem for a remote island shipping network considering emergency inventory. By determining a series of decisions, including the location of the hub islands, number of shipping [...] Read more.
This paper studies a hub-and-spoke shipping network of remote islands and integrates a maritime location inventory routing problem for a remote island shipping network considering emergency inventory. By determining a series of decisions, including the location of the hub islands, number of shipping routes, schedule of every route, travelling mode of every route, ship size, wharf scale, and inventory capacity, the objective of this study is to minimise the total cost of the remote island shipping network over the operating period. Subsequently, a mixed-integer programming model to minimise the total cost of the system is developed. To solve the model, we present a genetic algorithm based on a stepwise configuration module (SC-GA). Finally, instances are proposed to evaluate the performance of the algorithm. The results of the instance calculation show that the algorithm has good applicability and effectiveness in solving the problem in this paper. Through algorithm comparison, it is found that the performance of SC-GA is better than the algorithms in the relevant literature. This paper provides practical information for the design, optimisation and sustainability of remote island shipping networks considering emergency inventory. Full article
(This article belongs to the Special Issue Sustainability in Emergency Supply Chain Management)
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