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Industry 4.0 Supply Chain: From Connectivity Provisioning, Data Management to...
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Industry 4.0 Supply Chain: From Connectivity Provisioning, Data Management to Cyber Resilience

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (31 August 2023) | Viewed by 16494

Special Issue Editors

Prof. Dr. Xavi Masip

E-Mail Website
Guest Editor
Advanced Network Architectures Lab, Universitat Politècnica de Catalunya (UPC), 08034 Barcelona, Spain
Interests: cybersecurity; cloud continuum management; IoT
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Admela Jukan

E-Mail Website
Guest Editor
Institute for Data Technology and Communication Networks, Technische Universitat Braunschweig, 38106 Braunschweig, Germany
Interests: edge computing; cloud computing; cloud-to-edge to IoT management; distributed systems; network management
Special Issues, Collections and Topics in MDPI journals
Dr. Jose Francisco Ruiz

E-Mail Website
Guest Editor
Atos, 28037 Madrid, Spain
Interests: cybersecurity; resilience

Special Issue Information

Dear Colleagues,

Supply chain provisioning with the help of IT has become one of the major challenges in modern industrial settings, serving multiple actors in finance, manufacturing, healthcare, and many other sectors. Supply chains need not only security connectivity between individual parts of the supply chain (source, manufacturer, customer) but also advanced features of reliability and cyber security. While many approaches in the so-called Industry 4.0 address the issue of connectivity for the supply chain, including sensing, edge, and cloud computing, this is not enough today, and it has become mandatory to design novel cyber-resilience strategies. This is especially a challenge when considering distributed, heterogeneous, multiactor contexts addressing traditional security challenges but also those raised by the envisioned distributed scenario. The resilience of ICT systems is premium, in fact, and every ICT system is expected to implement at least a set of basic mechanisms to prevent, resist, and recover from any type of disruption in a timely manner, thus minimizing the impact on service quality and user experience.

Prof. Dr. Xavi Masip
Prof. Dr. Admela Jukan
Dr. Jose Francisco Ruiz
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. Sensors 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 2600 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

  • Industry 4.0 supply chain modelling
  • IoT security solutions in supply chains
  • AI-assisted cybersecurity strategies
  • risk management
  • metrics for security assessment
  • predictive solutions
  • interoperability models

Published Papers (3 papers)

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Research

21 pages, 5112 KiB  
Article
Open Logistics: Blockchain-Enabled Trusted Hyperconnected Logistics Platform
by Ali V. Barenji and Benoit Montreuil
Sensors 2022, 22(13), 4699; https://0-doi-org.brum.beds.ac.uk/10.3390/s22134699 - 22 Jun 2022
Cited by 6 | Viewed by 2461
Abstract
The digitalization and adoption of advanced technologies in supply chain and logistics not only change the business model but also transfer logistics infrastructure to a service-oriented architecture and introduce new avenues concerning supply chain 4.0 (SC4.0). Sharing logistic assets between various businesses leads [...] Read more.
The digitalization and adoption of advanced technologies in supply chain and logistics not only change the business model but also transfer logistics infrastructure to a service-oriented architecture and introduce new avenues concerning supply chain 4.0 (SC4.0). Sharing logistic assets between various businesses leads to improving logistics work, enhancing work productivity, and reducing logistics expenses and environmental impact. However, due to the lack of a secure, trustworthy, and open sharing platform, the companies are not willing to rely on sharing economics. Aiming to improve trust-ability, openness, and interoperability in the SC4.0, this paper presents a blockchain-enabled hyperconnected logistics platform. Firstly, the Open Logistic platform (OL) is proposed, and the key characteristics of this platform are explained. Secondly, the concept of proof of delivery (PoD) based on smart contracts is defined and developed to explore its rule-based management and control among the dynamic assets sharing. Thirdly, the Blockchain asset sharing service is designed and discussed in the context of asset sharing. Fourthly to evaluate the feasibility of the proposed platform, a simulation environment is developed, and OL is implemented based on the case study. Full article
(This article belongs to the Special Issue Industry 4.0 Supply Chain: From Connectivity Provisioning, Data Management to Cyber Resilience)
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18 pages, 732 KiB  
Article
Analysis of the Challenges of Artificial Intelligence of Things (AIoT) for the Smart Supply Chain (Case Study: FMCG Industries)
by Hamed Nozari, Agnieszka Szmelter-Jarosz and Javid Ghahremani-Nahr
Sensors 2022, 22(8), 2931; https://0-doi-org.brum.beds.ac.uk/10.3390/s22082931 - 11 Apr 2022
Cited by 41 | Viewed by 9598
Abstract
In today’s competitive world, supply chain management is one of the fundamental issues facing businesses that affects all an organization’s activities to produce products and provide services needed by customers. The technological revolution in supply chain logistics is experiencing a significant wave of [...] Read more.
In today’s competitive world, supply chain management is one of the fundamental issues facing businesses that affects all an organization’s activities to produce products and provide services needed by customers. The technological revolution in supply chain logistics is experiencing a significant wave of new innovations and challenges. Despite the current fast digital technologies, customers expect the ordering and delivery process to be faster, and as a result, this has made it easier and more efficient for organizations looking to implement new technologies. “Artificial Intelligence of Things (AIoT)”, which means using the Internet of Things to perform intelligent tasks with the help of artificial intelligence integration, is one of these expected innovations that can turn a complex supply chain into an integrated process. AIoT innovations such as data sensors and RFID (radio detection technology), with the power of artificial intelligence analysis, provide information to implement features such as tracking and instant alerts to improve decision making. Such data can become vital information to help improve operations and tasks. However, the same evolving technology with the presence of the Internet and the huge amount of data can pose many challenges for the supply chain and the factors involved. In this study, by conducting a literature review and interviewing experts active in FMCG industries as an available case study, the most important challenges facing the AIoT-powered supply chain were extracted. By examining these challenges using nonlinear quantitative analysis, the importance of these challenges was examined and their causal relationships were identified. The results showed that cybersecurity and a lack of proper infrastructure are the most important challenges facing the AIoT-based supply chain. Full article
(This article belongs to the Special Issue Industry 4.0 Supply Chain: From Connectivity Provisioning, Data Management to Cyber Resilience)
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17 pages, 1776 KiB  
Article
Blockchain-Based Distributed Information Hiding Framework for Data Privacy Preserving in Medical Supply Chain Systems
by Abir EL Azzaoui, Haotian Chen, So Hyeon Kim, Yi Pan and Jong Hyuk Park
Sensors 2022, 22(4), 1371; https://0-doi-org.brum.beds.ac.uk/10.3390/s22041371 - 10 Feb 2022
Cited by 26 | Viewed by 3551
Abstract
Medical supply chain communication networks engender critical information and data. Notably in the COVID era, inner personal and private information is being shared between healthcare providers regarding the medical supply chain. In recent years, multiple cyber-attacks have targeted medical supply chain communication networks [...] Read more.
Medical supply chain communication networks engender critical information and data. Notably in the COVID era, inner personal and private information is being shared between healthcare providers regarding the medical supply chain. In recent years, multiple cyber-attacks have targeted medical supply chain communication networks due to their lack of security measures. In the era where cyber-attacks are cheaper and easier due to the computational power and various algorithms available for malicious uses, security, and data privacy requires intensive and higher measures. On the other hand, Information Hiding Techniques (IHT) compromise various advanced methods to hide sensitive information from being disclosed to malicious nodes. Moreover, with the support of Blockchain, IHT can bring higher security and the required privacy levels. In this paper, we propose the implementation of Blockchain and smart contract with the information hiding technique to enhance the security and privacy of data communication in critical systems, such as smart healthcare supply chain communication networks. Results show the feasibility of the framework using Hyperledger smart contract along with the desired security level. Full article
(This article belongs to the Special Issue Industry 4.0 Supply Chain: From Connectivity Provisioning, Data Management to Cyber Resilience)
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