Skip to main content
SpringerLink
Log in

Smart Distributed Ledger Technologies in Industry 4.0: Challenges and Opportunities in Supply Chain Management

  • Chapter
  • First Online:
Cyber Defence in the Age of AI, Smart Societies and Augmented Humanity

Abstract

The rise of new digital economies and data-driven supply-chains seeks to revolutionalise the ways information is transferred, processed and analysed across different industry segments in the value-creation. This data-driven manufacturing revolution promises to increase productivity, democratise data sharing capabilities and foster industrial growth in scales never seen before. The traditional transactional models are to be re-visited, and distributed data storage architectures are to be re-designed to accommodate for optimised data flows across different organisation units. Data is increasingly becoming a strategic business resource that through innovation in existing sharing and processing approaches can decompose business bottlenecks in existing production lines and processes and disrupt traditional supply-chain models. This work seeks to articulate a state-of-the-art review of the application and impact of ML techniques and distributed Ledger technologies to further disrupt supply-chain capabilities with regards to data accuracy and completeness.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Ahram T, Sargolzaei A, Sargolzaei S, Daniels J, Amaba B (2017) Blockchain technology innovations. In 2017 IEEE technology & engineering management conference (TEMSCON). IEEE, pp 137–141

    Google Scholar 

  2. Aich S, Chakraborty S, Sain M, Lee H, Kim H (2019) A review on benefits of IoT integrated blockchain based supply chain management implementations across different sectors with case study. In: 2019 21st international conference on advanced communication technology (ICACT), pp 138–141

    Google Scholar 

  3. Aivazidou E, Antoniou A, Arvanitopoulos-Darginis K, Toka A (2012) Using cloud computing in supply chain management: third-party logistics on the cloud

    Google Scholar 

  4. Androulaki E, Barger A, Bortnikov V, Muralidharan S, Cachin C, Christidis K, De Caro, A., Enyeart D, Murthy C, Ferris C, Laventman G, Manevich Y, Nguyen B, Sethi M, Singh G, Smith K, Sorniotti A, Stathakopoulou C, Vukolić M, Cocco SW, Yellick J (2018) Hyperledger fabric: a distributed operating system for permissioned blockchains. In: Proceedings of the 13th EuroSys conference, EuroSys 2018

    Google Scholar 

  5. Annarelli A, Battistella C, Nonino F (2019) How to trigger the strategic advantage of product service systems. Springer International Publishing, Cham, pp 95–141

    Google Scholar 

  6. Artificial intelligence in logistics; a collaborative report by DHL and IBM on implications and use cases for the logistics industry. https://www.businesswire.com/news/home/20180416006323/en/Artificial-Intelligence-Thrive-Logistics-DHL-IBM. Accessed 30 Aug 2019

  7. Bandara E, Ng WK, De Zoysa K, Fernando N, Tharaka S, Maurakirinathan P, Jayasuriya N (2019) Mystiko – blockchain meets big data. In: Proceedings – 2018 IEEE international conference on big data, big data 2018, pp 3024–3032

    Google Scholar 

  8. Bartoletti M, Lande S, Pompianu L, Bracciali A (2017) A general framework for blockchain analytics. In: Proceedings of the 1st workshop on scalable and resilient infrastructures for distributed ledgers, SERIAL’17. ACM, New York, pp 7:1–7:6

    Google Scholar 

  9. Benet J (2014) IPFS – content addressed, versioned, P2P file system

    Google Scholar 

  10. BigchainDB GmbH (2018) BigchainDB: the blockchain database. BigchainDB. The blockchain database

    Google Scholar 

  11. Bitcoin: a peer-to-peer electronic cash system. https://s3.amazonaws.com/academia.edu.documents/54517945/Bitcoin_paper_Original_2.pdf?response-content-disposition=inline%3B%20filename%3DBitcoin_A_Peer-to-Peer_Electronic_Cash_S.pdf&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAIWOWYYGZ2Y53UL3A%2F20190827%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20190827T093650Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=108d75c81898d73297135781e2d233f5c3521caf8e42e0bb58ab61928c7994a4. Accessed 30 Aug 2019

    Google Scholar 

  12. BOKRES?̌A ÐURI? (2017) Organisational metamodel for large-scale multi-agent systems: first steps towards modelling organisation dynamics. ADCAIJ: Adv Distrib Comput Artif Intell J 6:3

    Google Scholar 

  13. Carbonneau R, Laframboise K, Vahidov R (2008) Application of machine learning techniques for supply chain demand forecasting. Eur J Oper Res 184(3):1140–1154

    Article  Google Scholar 

  14. Chen J, Lv Z, Song H (2019) Design of personnel big data management system based on blockchain. Futur Gener Comput Syst 101:1122–1129

    Article  Google Scholar 

  15. Dawid H, Decker R, Hermann T, Jahnke H, Klat W, König R, Stummer C (2017) Management science in the era of smart consumer products: challenges and research perspectives. CEJOR 25(1):203–230

    Article  Google Scholar 

  16. Dinh TTA, Liu R, Zhang M, Chen G, Ooi BC, Wang J (2018) Untangling blockchain: a data processing view of blockchain systems. IEEE Trans Knowl Data Eng 30(7):1366–1385

    Article  Google Scholar 

  17. Epiphaniou G, Daly H, Al-Khateeb H (2019) Blockchain and healthcare. Springer International Publishing, Cham, pp 1–29

    Google Scholar 

  18. Eskandarpour M, Dejax P, Miemczyk J, Péton O (2015) Sustainable supply chain network design: an optimization-oriented review. Omega 54:11–32

    Article  Google Scholar 

  19. Eximchain: supply chain finance solutions on a secured public, permissioned blockchain hybrid. https://eximchain.com/Whitepaper-Eximchain.pdf. Accessed 30 Aug 2019

  20. Galvez JF, Mejuto J, Simal-Gandara J (2018) Future challenges on the use of blockchain for food traceability analysis. TrAC Trends Anal Chem 107:222–232

    Article  Google Scholar 

  21. Garcia D, You F (2015) Supply chain design and optimization: challenges and opportunities. Comput Chem Eng 81:153–170

    Article  Google Scholar 

  22. Gobel J, Krzesinski A (2017) Increased block size and Bitcoin blockchain dynamics. In: 2017 27th international telecommunication networks and applications conference (ITNAC). IEEE, pp 1–6

    Google Scholar 

  23. Imbault F, Swiatek M, de Beaufort R, Plana R (2017) The green blockchain: managing decentralized energy production and consumption. In: 2017 IEEE international conference on environment and electrical engineering and 2017 IEEE industrial and commercial power systems Europe (EEEIC/I CPS Europe), June 2017, pp 1–5

    Google Scholar 

  24. Taliaferro A, Guenette C-A, Agarwal A, Pochon M (2016) Industry 4.0 and distribution centers. Transforming distribution operations through innovation. https://www2.deloitte.com/us/en/insights/focus/industry-4-0/warehousing-distributed-center-operations.html?id=us:2sm:3li:dup3294:awa:dup:MMDDYY:4ir:author. Accessed 12 Sept 2016

  25. Kim Y (2014) Convolutional neural networks for sentence classification. CoRR abs/1408.5882

    Google Scholar 

  26. Knoll D, Prüglmeier M, Reinhart G (2016) Predicting future inbound logistics processes using machine learning. Procedia CIRP 52:145–150. The Sixth International Conference on Changeable, Agile, Reconfigurable and Virtual Production (CARV2016)

    Google Scholar 

  27. Korpela K, Hallikas J, Dahlberg T (2017) Digital supply chain transformation toward blockchain integration

    Google Scholar 

  28. Long TB, Looijen A, Blok V (2018) Critical success factors for the transition to business models for sustainability in the food and beverage industry in the Netherlands. J Clean Prod 175:82–95

    Article  Google Scholar 

  29. Lu Q, Xu X (2017) Adaptable blockchain-based systems: a case study for product traceability. IEEE Softw 34(6):21–27

    Article  Google Scholar 

  30. Nakasumi M (2017) Information sharing for supply chain management based on block chain technology. In: 2017 IEEE 19th conference on business informatics (CBI), vol 01, pp 140–149

    Google Scholar 

  31. Namdar J, Li X, Sawhney R, Pradhan N (2018) Supply chain resilience for single and multiple sourcing in the presence of disruption risks. Int J Prod Res 56(6):2339–2360

    Article  Google Scholar 

  32. Neubert G, Ouzrout Y, Bouras A (2018) Collaboration and integration through information technologies in supply chains. CoRR abs/1811.01688

    Google Scholar 

  33. Nizamuddin N, Salah K, Ajmal Azad M, Arshad J, Rehman M (2019) Decentralized document version control using ethereum blockchain and IPFS. Comput Electr Eng 76:183–197

    Article  Google Scholar 

  34. Pazaitis A, Filippi PD, Kostakis V (2017) Blockchain and value systems in the sharing economy: the illustrative case of backfeed. Technol Forecast Soc Chang 125:105–115

    Article  Google Scholar 

  35. Pereira A, Romero F (2017) A review of the meanings and the implications of the industry 4.0 concept. Procedia Manuf 13:1206–1214. Manufacturing engineering society international conference 2017, MESIC 2017, 28–30 June 2017, Vigo (Pontevedra)

    Google Scholar 

  36. Pfohl H-C, Yahsi B, Kurnaz T (2015) The impact of industry 4.0 on the supply chain. In: Innovations and strategies for logistics and supply chains, Jan 2015, epubli

    Google Scholar 

  37. Porter ME, Kramer MR (2019) Creating shared value. Springer Netherlands, Dordrecht, pp 323–346

    Google Scholar 

  38. Rachmawati D, Tarigan JT, Ginting ABC (2018) A comparative study of Message Digest 5(MD5) and SHA256 algorithm. J Phys Conf Ser 978:012116

    Article  Google Scholar 

  39. Recommendations for implementing the strategic initiative industrie 4.0. https://www.din.de/blob/76902/e8cac883f42bf28536e7e8165993f1fd/recommendations-for-implementing-industry-4-0-data.pdf. Accessed 30 Aug 2019

  40. Rokonuzzaman M The integration of extended supply chain with sales and operation planning: a conceptual framework. Logistics 2(2):8

    Google Scholar 

  41. Ryan D (2017) Calculating costs in ethereum contracts. https://hackernoon.com/ether-purchase-power-df40a38c5a2f. Accessed 30 Aug 2019

  42. Sahoo MS, Baruah PK (2018) HBasechainDB – a scalable blockchain framework on Hadoop ecosystem. In: Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), pp 18–29

    Google Scholar 

  43. Sahoo SR, Kumar KS, Mahapatra KK (2015) A novel ROPUF for hardware security. In: 2015 19th international symposium on VLSI design and test, pp 1–2

    Google Scholar 

  44. Salah K, Nizamuddin N, Jayaraman R, Omar M (2019) Blockchain-based soybean traceability in agricultural supply chain. IEEE Access 7:73295–73305

    Article  Google Scholar 

  45. Sokolova M, Matwin S (2016) Personal privacy protection in time of big data. In: Challenges in computational statistics and data mining. Springer, Cham, pp 365–380

    Chapter  Google Scholar 

  46. Szozda N (2017) Industry 4.0 and its impact on the functioning of supply chains. Logforum 13(4):2

    Google Scholar 

  47. Tehranipoor MM, Guin U, Forte D (2015) Counterfeit integrated circuits: detection and avoidance. Springer Publishing Company, Incorporated, Cham

    Book  Google Scholar 

  48. Tian F (2017) A supply chain traceability system for food safety based on HACCP, blockchain AMP; internet of things. In: 2017 International conference on service systems and service management, pp 1–6

    Google Scholar 

  49. Trojanowska J, Kolinski A, Galusik D, Varela MLR, Machado J (2018) A methodology of improvement of manufacturing productivity through increasing operational efficiency of the production process. In: Hamrol A, Ciszak O, Legutko S, Jurczyk M (eds) Advances in manufacturing. Springer International Publishing, Cham, pp 23–32

    Chapter  Google Scholar 

  50. Trón V, Fischer A, Nagy DA, Felföldi Z, Johnson N (2016) Swap, swear and swindle: incentive system for swarm. Ethereum Orange Paper

    Google Scholar 

  51. Waibel M, Steenkamp L, Moloko N, Oosthuizen G (2017) Investigating the effects of smart production systems on sustainability elements. Procedia Manuf 8:731–737; In: 14th global conference on sustainable manufacturing, GCSM, 3–5 Oct 2016, Stellenbosch

    Google Scholar 

  52. Walshe M, Epiphaniou G, Al-Khateeb H, Hammoudeh M, Katos V, Dehghantanha A (2019) Non-interactive zero knowledge proofs for the authentication of iot devices in reduced connectivity environments. Ad Hoc Netw 95:101988

    Article  Google Scholar 

  53. Wang S, Qu X (2019) Blockchain applications in shipping, transportation, logistics, and supply chain. In: Qu X, Zhen L, Howlett RJ, Jain LC (eds) Smart transportation systems 2019. Springer, Singapore, pp 225–231

    Chapter  Google Scholar 

  54. Wood G (2014) Ethereum: a secure decentralised generalised transaction ledger. In: Ethereum project yellow paper, pp 1–32

    Google Scholar 

  55. Xu LD, Xu EL, Li L (2018) Industry 4.0: state of the art and future trends. Int J Prod Res 56(8):2941–2962

    Article  Google Scholar 

  56. Yue L, Junqin H, Shengzhi Q, Ruijin W (2017) Big data model of security sharing based on blockchain. In: 2017 3rd international conference on big data computing and communications (BIGCOM). IEEE, pp 117–121

    Google Scholar 

  57. Zheng Z, Xie S, Dai H, Chen X, Wang H (2017) An overview of blockchain technology: architecture, consensus, and future trends. In: 2017 IEEE international congress on big data (BigData congress), pp 557–564

    Google Scholar 

  58. Zheng Q, Li Y, Chen P, Dong X (2019) An innovative IPFS-based storage model for blockchain. In: Proceedings – 2018 IEEE/WIC/ACM international conference on web intelligence, WI 2018, Institute of Electrical and Electronics Engineers Inc., pp 704–708

    Google Scholar 

  59. Zhou C, Cao Q (2018) Design and implementation of intelligent manufacturing project management system based on bill of material. Cluster computing

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Schools of Mathematics & Computer Science, Wolverhampton Cyber Research Institute (WCRI), University of Wolverhampton, Wolverhampton, UK

    Gregory Epiphaniou, Mirko Bottarelli, Haider Al-Khateeb, Nikolaos Th. Ersotelos, John Kanyaru & Vinita Nahar

Authors
  1. Gregory Epiphaniou
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mirko Bottarelli
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Haider Al-Khateeb
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Nikolaos Th. Ersotelos
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. John Kanyaru
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Vinita Nahar
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Gregory Epiphaniou .

Editor information

Editors and Affiliations

  1. Northumbria University, London, UK

    Hamid Jahankhani

  2. Cyfortis, Worcester Park, Surrey, UK

    Stefan Kendzierskyj

  3. Open Innovation House, Saidot OY, ESPOO, Finland

    Nishan Chelvachandran

  4. Northumbria University, London, UK

    Jaime Ibarra

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Epiphaniou, G., Bottarelli, M., Al-Khateeb, H., Ersotelos, N.T., Kanyaru, J., Nahar, V. (2020). Smart Distributed Ledger Technologies in Industry 4.0: Challenges and Opportunities in Supply Chain Management. In: Jahankhani, H., Kendzierskyj, S., Chelvachandran, N., Ibarra, J. (eds) Cyber Defence in the Age of AI, Smart Societies and Augmented Humanity. Advanced Sciences and Technologies for Security Applications. Springer, Cham. https://doi.org/10.1007/978-3-030-35746-7_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-35746-7_15

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-35745-0

  • Online ISBN: 978-3-030-35746-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation