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Sustainable and Technological Management in Global Supply Chains: Trends and Challenges

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Management".

Deadline for manuscript submissions: closed (15 July 2023) | Viewed by 5606

Special Issue Editors


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Guest Editor
Department of Packaging, Yonsei University, Wonju 26493, Kangwon-do, Korea
Interests: sustainable management and operation of technology; information sharing; green logistics; sustainable transport packaging; equational structural modelling

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Guest Editor
Department of Transportation and Logistics Engineering, Hanyang University, Ansan 15588, Republic of Korea
Interests: traffic safety; proactive crash risk management; big data analytics; traffic control in connected and autonomous vehicle environment
Special Issues, Collections and Topics in MDPI journals
Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL 32816, USA
Interests: traffic safety; real-time traffic control and management; connected and autonomous vehicle (CAV); vulnerable road user safety
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Sustainability has been considered as a global issue with the changing climate and environment. Many researchers have explored this issue in their study area. The main challenges are to reduce air pollution and to make an economic performance with the application and management of Industry 4.0 technologies, such as the Internet of Things (IoT), artificial intelligence (AI), blockchain, and big data. In this context, this Special Issue aims to explore the problems and find sustainable and technological alternatives for a global supply chain (GSC). The research question is how to make the sustainability with new technologies.

The scope of the issue covers a wide variety of studies ranging from empirical research efforts to experimental ones: theoretical and innovative papers on analysis, design, management, operation, safety, environment, emissions, case studies, and applications of new technologies. Although the following potential topics are proposed, the research methodology is open for answering the research question. It can include economic analysis, mathematical and statistical analysis, and either simulation-based or computational approaches. Data can be collected with surveys or from databases. The keywords of topics can include impacts or evaluations (e.g., of application of innovative technologies), and the development of operational and management strategies, etc.

We encourage any other research themes to investigate sustainable and technological issues in global supply chains and welcome original research outcomes and review articles which clarify the current trends and future prospects of the art and practice for a global supply chain. 

Prof. Dr. Kang-Dae Lee
Prof. Dr. Juneyoung Park
Dr. Yina Wu
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

  • digitalizaion strategy (e.g., AI, IoT, big data, digital transformation, etc)
  • economic performance
  • emmission (e.g., intermodal and multimodal transportation)
  • safty (e.g., visible and invisible accident)
  • life cycle assessment
  • sustainable packaging (e.g., returnable transport items)
  • information sharing

Published Papers (3 papers)

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Research

19 pages, 292 KiB  
Article
Multilevel Mixed-Effects Models to Identify Contributing Factors on Freight Vehicle Crash Severity
by Seongmin Park and Juneyoung Park
Sustainability 2022, 14(19), 11804; https://doi.org/10.3390/su141911804 - 20 Sep 2022
Cited by 2 | Viewed by 1122
Abstract
Freight vehicle crashes are more serious than regular vehicle crashes because they are likely to lead to major damage and injury once they occur; therefore, countermeasures are needed. The fatality rate from freight vehicle crashes is 1.5 times higher than that of all [...] Read more.
Freight vehicle crashes are more serious than regular vehicle crashes because they are likely to lead to major damage and injury once they occur; therefore, countermeasures are needed. The fatality rate from freight vehicle crashes is 1.5 times higher than that of all other accidents, and the death rate from expressway freight vehicle crashes continues to increase. In this study, the ten-freight-vehicle crash severity models (the ordered logit and probit model, the multinomial logit and probit model, mixed-effects logit and probit model, random-effects ordered logit and probit model, and multilevel mixed-effects ordered logit and probit model) are used to analyze the freight vehicle crash severity factors. The model was constructed using data collected from expressways over eight years, and 13 factors were derived to increase the severity of crashes and 7 factors to reduce the severity of crashes. As a result of comparing the 10 constructed models using AIC and BIC, the multilevel mixed-effects ordered probit model showed the best performance. It is expected that it can contribute to improving the safety of freight vehicles in the expressway section by utilizing factors related to the severity of crashes derived from this study. Full article
8 pages, 1938 KiB  
Article
Particulate Matter (PM10 and PM2.5) and Greenhouse Gas Emissions of UAV Delivery Systems on Metropolitan Subway Tracks
by Bulim Choi, Jeonghum Yeon, Jung Ung Min and Kangdae Lee
Sustainability 2022, 14(14), 8630; https://doi.org/10.3390/su14148630 - 14 Jul 2022
Cited by 1 | Viewed by 1386
Abstract
This study examines UAV (unmanned aerial vehicle) delivery services using metropolitan subway tracks in South Korea. The aim of the study is to enhance the usefulness of UAV delivery services in urban areas, evaluating what kinds of UAVs are more environment friendly than [...] Read more.
This study examines UAV (unmanned aerial vehicle) delivery services using metropolitan subway tracks in South Korea. The aim of the study is to enhance the usefulness of UAV delivery services in urban areas, evaluating what kinds of UAVs are more environment friendly than freight trains, with regard to particulate matter emissions and global warming potential. Under evaluation conditions, freight train delivery was a significantly better alternative in terms of particulate matter emissions, regardless of the size and energy source of the UAVs. However, despite freight trains being a well-known eco-friendly mode of transportation, it can be seen from this study that small UAVs satisfied a few conditions that could potentially provide a good transportation alternative, with low global warming potential. This paper provides important insights into the comparison of UAVs and freight trains with regard to carbon and particulate matter emissions, highlighting the implications that, in some situations, UAVs can be a feasible alternative for policymakers who prepare policy measures of an activation plan for UAM (urban air mobility). Full article
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14 pages, 1286 KiB  
Article
Analysis of Risk Factors Affecting Urban Truck Traffic Accident Severity in Korea
by Maowei Chen, Lele Zhou, Sangho Choo and Hyangsook Lee
Sustainability 2022, 14(5), 2901; https://doi.org/10.3390/su14052901 - 02 Mar 2022
Cited by 6 | Viewed by 2103
Abstract
Due to increases in truck traffic, truck traffic safety has become an unavoidable societal issue in Korea. Truck traffic accidents were responsible for 24% of all traffic deaths in 2019, and the fatality rate was significantly higher than that of other forms of [...] Read more.
Due to increases in truck traffic, truck traffic safety has become an unavoidable societal issue in Korea. Truck traffic accidents were responsible for 24% of all traffic deaths in 2019, and the fatality rate was significantly higher than that of other forms of traffic. This study analyzes not only the driver and environmental factors, but also the traffic condition factors which are considered to contribute to the severity of truck traffic accidents, and presents practical truck safety solutions based on the findings. This study examines the fatal and serious injury truck traffic accidents in Incheon, which has large logistics facilities and the highest fatality rate (3.3) in Korea’s capital area. According to the regression analysis results, ‘Nighttime’, ‘Vehicle-single’, ‘Vehicle to Pedestrian’, ‘Lane violation’, and ‘Signal violation’ contribute to the severity of truck traffic accidents. Furthermore, truck traffic accidents in the logistics influencing area are more likely to be serious than in the non-influencing area. In terms of the traffic condition factors, the number of lanes, the maximum speed, and the number of road property-changing nodes were significant. The results of this study will provide useful data for establishing traffic safety policies in urban areas. Full article
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