Innovative Digital Supply Chain 4.0 Transformation

A special issue of Logistics (ISSN 2305-6290).

Deadline for manuscript submissions: 31 December 2024 | Viewed by 12903

Special Issue Editors


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Guest Editor
1. Professor, Purchase and Procurement Curriculum Manager, Head of the Digital Supply Chain Research Group, Department of Logistics, TTK University of Applied Sciences, Pärnu Road 62, 10135 Tallinn, Estonia
2. Associate Professor in the Faculty of Science and Technology, Institute of Computer Science, The University of Tartu, Narva mnt. 18, 51009 Tartu, Estonia
Interests: digital supply chain 4.0; decision support; BPM; Procurement 4.0; Logistics 4.0; Industry 4.0

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Guest Editor
Faculty of Business, Computing and Digital Industries, Leeds Trinity University, Horsforth, Leeds LS18 5HD, UK
Interests: operations; supply chain management, lean and agile manufacturing/supply chain; the impact of Industry 4.0 technologies on manufacturing and supply chain operations; sustainable operations and supply chains

Special Issue Information

Dear Colleagues,

Industry 4.0 (the fourth industrial revolution) has garnered significant attention from academia, organisations, and governments in recent years, particularly in the realms of manufacturing, supply chain, and logistics. This emerging field encompasses a range of topics, including frequent demand changes, complex processes, cost reduction, resource optimisation, skilled labour scarcity, digital transformation, information system integration, and cybersecurity. With companies perceiving certain technologies—such as AI, big data, IoT, blockchain, and tracking systems—as mature, the focus now shifts toward their implementation and the value they can bring, as well as their application in the processes of the supply chain (Raji et al., 2021).

According to Zekhnini et al. (2020), the business landscape and that of industries are changing rapidly. It is no longer feasible for supply chains to quickly readjust their strategies to efficiently procure, produce, transport, and sell the appropriate products in the right quantities and locations (Wu et al., 2016). Today's market is characterised by fierce competition, cost pressures, fluctuating market demands, and volatile demand patterns (Gilaninia et al., 2011). Consequently, it becomes imperative to envision a flexible supply chain that can quickly adapt its goods, processes, and structures to accommodate changing circumstances. Therefore, to effectively address these mounting challenges, supply chains must evolve into intelligent systems (Wu et al., 2016). This can be made possible through the various technologies characterising Industry 4.0. Thus, Supply Chain 4.0 emerges within the context of the modern digital era brought about by the fourth industrial revolution (Makris et al., 2019).

This Special Issue seeks contributions that shed light on recent trends and practical insights about the innovative digital transformation of supply chains. We invite researchers to contribute to the existing literature in this field by exploring the value derived from technologies like AI, big data, IoT, and blockchain, as well as tracking systems focused on a supply chain. Moreover, we encourage investigations into the necessary organisational skills, digital competencies, and knowledge toolkits required to embrace innovation in digital supply chains. We aim to foster a comprehensive understanding of: the technologies included into SCM 4.0 and how they impact operational performance of future supply chains; and the challenges the today’s companies face in the process of the digitalization of supply chains.

The foci of this Special Issue will be as follows: i. understanding how the various technologies of Industry 4.0. drive supply chain processes; ii. understanding the main processes of supply chains to be digitally transformed to Supply Chain 4.0., Procurement 4.0., and Logistics 4.0; and iii. investigating the best practices and challenges related to the Supply Chain 4.0 transformation. While addressing the focus of the SI, submission topics may include, but are not limited to, the following:

  • Case studies highlighting successful digital transformation in supply chain management;
  • Strategies for implementing AI, big data, IoT, blockchain, and tracking systems in supply chains;
  • Organizational skills and capabilities crucial for digital supply chain optimization;
  • The challenges and obstacles in digital supply chain implementation;
  • Innovations and best practices in digital supply chain governance;
  • Assessing the impact of digital transformation on supply chain performance;
  • Ethical and cybersecurity considerations in Supply Chain 4.0. transformation;
  • Frameworks for evaluating the maturity and readiness of supply chains for digital transformation.

We invite researchers, practitioners, and industry experts to submit their original contributions to this Special Issue, which will serve as a platform for advancing the knowledge and understanding in the field of Innovative Digital Supply Chain 4.0 Transformation. We invite submissions from both developed and developing economies, and manuscripts should adhere to the journal's guidelines as they will undergo a rigorous peer-review process.

References

Gilaninia, S., Mousavian, S.J., Tayebi, F., Panah, M.P., Ashouri, S., Touhidi, R. and Seighalani, F.Z. (2011), “The impact of information technology application on supply chain performance”, Interdisciplinary Journal of Contemporary Research in Business, Vol. 3 No. 8, pp. 489-496.

Makris, D., Hansen, Z.N.L. and Khan, O. (2019), “Adapting to supply chain 4.0: an explorative study of multinational companies”, Supply Chain Forum: An International Journal, Vol. 20 No. 2, pp. 116-131.

Raji, I. O., Shevtshenko, E., Rossi, T., & Strozzi, F. (2021), Industry 4.0 technologies as enablers of lean and agile supply chain strategies: an exploratory investigation. The International Journal of Logistics Management32(4), 1150-1189.

Wu, L., Yue, X., Jin, A. and Yen, D.C. (2016), “Smart supply chain management: a review and implications for future research”, The International Journal of Logistics Management, Vol. 27 No. 2, pp. 395-417.

Zekhnini, K. et al. (2020), ‘Supply Chain Management 4.0: A literature review and research framework’, Benchmarking: An International Journal, 28(2), 465-501. doi:10.1108/bij-04-2020-0156.

Prof. Dr. Eduard Sevtsenko
Dr. Ibrahim Raji
Guest Editors

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Keywords

  • industry 4.0
  • supply chain management 4.0
  • logistics 4.0
  • procurement 4.0
  • SCM 4.0
  • SCM 4.0 framework
  • digital supply chain
  • novel technologies

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Published Papers (4 papers)

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Research

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33 pages, 8138 KiB  
Article
AI-Enhanced Blockchain for Scalable IoT-Based Supply Chain
by Mohamed Moetez Abdelhamid, Layth Sliman and Raoudha Ben Djemaa
Logistics 2024, 8(4), 109; https://doi.org/10.3390/logistics8040109 - 4 Nov 2024
Cited by 1 | Viewed by 1578
Abstract
Purpose: The integration of AI with blockchain technology is investigated in this study to address challenges in IoT-based supply chains, specifically focusing on latency, scalability, and data consistency. Background: Despite the potential of blockchain technology, its application in supply chains is [...] Read more.
Purpose: The integration of AI with blockchain technology is investigated in this study to address challenges in IoT-based supply chains, specifically focusing on latency, scalability, and data consistency. Background: Despite the potential of blockchain technology, its application in supply chains is hindered by significant limitations such as latency and scalability, which negatively impact data consistency and system reliability. Traditional solutions such as sharding, pruning, and off-chain storage introduce technical complexities and reduce transparency. Methods: This research proposes an AI-enabled blockchain solution, ABISChain, designed to enhance the performance of supply chains. The system utilizes beliefs, desires, and intentions (BDI) agents to manage and prune blockchain data, thus optimizing the blockchain’s performance. A particle swarm optimization method is employed to determine the most efficient dataset for pruning across the network. Results: The AI-driven ABISChain platform demonstrates improved scalability, data consistency, and security, making it a viable solution for supply chain management. Conclusions: The findings provide valuable insights for supply chain managers and technology developers, offering a robust solution that combines AI and blockchain to overcome existing challenges in IoT-based supply chains. Full article
(This article belongs to the Special Issue Innovative Digital Supply Chain 4.0 Transformation)
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14 pages, 1062 KiB  
Article
Fog Computing and Industry 4.0 for Newsvendor Inventory Model Using Attention Mechanism and Gated Recurrent Unit
by Joaquin Gonzalez, Liliana Avelar Sosa, Gabriel Bravo, Oliverio Cruz-Mejia and Jose-Manuel Mejia-Muñoz
Logistics 2024, 8(2), 56; https://doi.org/10.3390/logistics8020056 - 3 Jun 2024
Cited by 1 | Viewed by 888
Abstract
Background: Efficient inventory management is critical for sustainability in supply chains. However, maintaining adequate inventory levels becomes challenging in the face of unpredictable demand patterns. Furthermore, the need to disseminate demand-related information throughout a company often relies on cloud services. However, this [...] Read more.
Background: Efficient inventory management is critical for sustainability in supply chains. However, maintaining adequate inventory levels becomes challenging in the face of unpredictable demand patterns. Furthermore, the need to disseminate demand-related information throughout a company often relies on cloud services. However, this method sometimes encounters issues such as limited bandwidth and increased latency. Methods: To address these challenges, our study introduces a system that incorporates a machine learning algorithm to address inventory-related uncertainties arising from demand fluctuations. Our approach involves the use of an attention mechanism for accurate demand prediction. We combine it with the Newsvendor model to determine optimal inventory levels. The system is integrated with fog computing to facilitate the rapid dissemination of information throughout the company. Results: In experiments, we compare the proposed system with the conventional demand estimation approach based on historical data and observe that the proposed system consistently outperformed the conventional approach. Conclusions: This research introduces an inventory management system based on a novel deep learning architecture that integrates the attention mechanism with cloud computing to address the Newsvendor problem. Experiments demonstrate the better accuracy of this system in comparison to existing methods. More studies should be conducted to explore its applicability to other demand modeling scenarios. Full article
(This article belongs to the Special Issue Innovative Digital Supply Chain 4.0 Transformation)
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24 pages, 1308 KiB  
Article
Assessing the Impact of Healthcare 4.0 Technologies on Healthcare Supply Chain Management: A Multi-Criteria Evaluation Framework
by Ayoninuoluwa Oluwadare, Busola Dorcas Akintayo, Olubayo Moses Babatunde and Oludolapo Akanni Olanrewaju
Logistics 2024, 8(2), 44; https://doi.org/10.3390/logistics8020044 - 15 Apr 2024
Viewed by 3312
Abstract
Background: Healthcare 4.0 has transformed supply chain management in the healthcare sector, but there is a lack of comprehensive frameworks to evaluate the impact of Healthcare 4.0 technologies on sector operations, particularly in developing countries. Methods: This study introduces a multi-criteria [...] Read more.
Background: Healthcare 4.0 has transformed supply chain management in the healthcare sector, but there is a lack of comprehensive frameworks to evaluate the impact of Healthcare 4.0 technologies on sector operations, particularly in developing countries. Methods: This study introduces a multi-criteria framework that synergically combines the techno-economic implications of Healthcare 4.0 technologies to improve healthcare supply chain management. The proposed approach innovatively integrates fuzzy VIKOR and Entropy methods to handle data vagueness and uncertainty, using data collected from healthcare supply chain specialists in Lagos, Nigeria. Results: The developed framework identifies the most and least critical technical and economic parameters for Healthcare 4.0 implementation in healthcare supply chain management. It also determines the suitability of different Healthcare 4.0 technologies for supply chain management in the healthcare sector. Conclusions: The main innovation of this study lies in the development of a comprehensive and context-specific framework for evaluating Healthcare 4.0 technologies in healthcare supply chains. The framework offers a new perspective on technology evaluation and provides practical insights for decision-makers. The findings contribute to advancing knowledge and practice in this field, promoting the proper adoption of Healthcare 4.0 technologies in healthcare, particularly in developing countries. Full article
(This article belongs to the Special Issue Innovative Digital Supply Chain 4.0 Transformation)
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Review

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36 pages, 1919 KiB  
Review
Digital Technology 4.0 on Halal Supply Chain: A Systematic Review
by Budi Harsanto, Joval Ifghaniyafi Farras, Egi Arvian Firmansyah, Mahir Pradana and Ardi Apriliadi
Logistics 2024, 8(1), 21; https://doi.org/10.3390/logistics8010021 - 18 Feb 2024
Cited by 3 | Viewed by 5831
Abstract
Background: The halal supply chain is a focused type of supply chain that ensures halal products throughout the entire process, from upstream to downstream. This paper aims to identify the innovative digital technology 4.0 utilized within the halal supply chain and understand [...] Read more.
Background: The halal supply chain is a focused type of supply chain that ensures halal products throughout the entire process, from upstream to downstream. This paper aims to identify the innovative digital technology 4.0 utilized within the halal supply chain and understand its impact on firm performance, both financial and non-financial. Methods: A systematic review methodology was employed on the academic database of Scopus, resulting in 70 articles. We analyze the included articles with two main aspects that are of concern in this research, namely what technology is used in certain parts of the supply chain (procurement, manufacturing, distribution, and/or logistics), as well as the impact on firm performance (financial and/or non-financial); Results: Our findings reveal that the technologies widely used include blockchain technology, halal financial technology, and halal traceability system (RFID, IoT). Conclusions: Innovative digital technology has been implemented in the halal supply chain and has affected the firm’s performance both financially and non-financially. Future research is suggested to focus on investigations regarding holistic technology integration, quantitative analysis to measure the specific financial performance of firms adopting digital technologies, and the feasibility and importance of technology adoption for Small and Medium Enterprises (SMEs) in the halal industry. Full article
(This article belongs to the Special Issue Innovative Digital Supply Chain 4.0 Transformation)
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