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Risks in Supply Chain 4.0: A Literature Review Study

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Industrial Engineering in the Age of Business Intelligence (GJCIE 2021)

Abstract

In recent years, the fourth industrial revolution started to transform business, processes, services, and products in many different manufacturing and service industries. Industry 4.0 describes the ongoing trend towards automation and data exchange and provides real-time interaction between things, machines, and human beings to develop digital and smart business systems. This digitalization is re-shaping the supply chains through the implementation and acceleration of Industry 4.0 technologies. Supply Chain 4.0 can be defined as the new generation digital supply chains that utilize Industry 4.0 technologies such as the internet of things, advanced robotics, and big data analytics to improve performance and customer satisfaction. Digitization in the supply chain provides companies various benefits, including improved productivity, profitability, agility, flexibility, and responsiveness. However, the transition from a traditional supply chain towards a digitalized supply chain comes up with some new risks, including lack of information, IT failures, computer security risks, and cyber-attack risks, etc. This paper aims to identify and categorize the Supply Chain 4.0 risks by providing a comprehensive and systematic literature review. For this purpose, 5-phases research methodology is defined, and related research questions are structured. Findings and discussions are evaluated in the frame of research questions.

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References

  1. Büyüközkan G, Göçer F (2018) Digital supply chain: literature review and a proposed framework for future research. Comput Ind 97:157–177. https://doi.org/10.1016/j.compind.2018.02.010

    Article  Google Scholar 

  2. Diaz R, Smith K, Acero B, Longo F, Padovano A, Diaz R, Smith K, Acero B, Longo F, Padovano A, Pietro V (2021) Developing an artificial intelligence framework to assess shipbuilding and repair sub-tier supply chains risk. Procedia Comput Sci 180:996–1002. https://doi.org/10.1016/j.procs.2021.01.363

    Article  Google Scholar 

  3. Dolgui A, Sokolov B, Ivanova M, Ivanov D, Dolgui A, Sokolov B, Ivanov D, Dolgui A, Chantrerie L, Kastler A, Spiiras RAS (2019) Intellectualization of control: cyber-physical supply chain risk analytics. IFAC PapersOnLine 52(13):355–360. https://doi.org/10.1016/j.ifacol.2019.11.146

  4. Er M, Fırat SÜ (2017) Supply chain risks: literature review and a new categorization. Beykent Üniversitesi Fen ve Mühendislik Bilimleri Dergisi 10(1):31–60

    Google Scholar 

  5. Er M, Fırat SÜ, Ghadge A (2020) A data mining-based framework for supply chain risk management. Comput Ind Eng 139:105570. https://doi.org/10.1016/j.cie.2018.12.017

    Article  Google Scholar 

  6. Faridi MS, Ali S, Duan G, Wang G (2020) Blockchain and IoT based textile manufacturing traceability system in Industry 4.0. In: International conference on security, privacy and anonymity in computation, communication and storage, pp 331–344

    Google Scholar 

  7. Ferrantino MJ, Koten EE (2019) Understanding Supply Chain 4.0 and its potential impact on global value chains. Global Value Chain Development Report

    Google Scholar 

  8. Fırat OZ, Fırat SÜ (2017) Endüstri 4.0 Yolculuğunda Trendler ve Robotlar. İstanbul Üniversitesi İşletme Fakültesi Dergisi 46(2):211–223. https://doi.org/10.5152/iujsb.2017.005

  9. Fırat SÜ (2017) Sanayi 4.0 Dönüşümü Nedir? Belirlemeler ve Beklentiler. Global Sanayici: Ekonomi ve İş Dünyası Dergisi ÇOSB Yayını

    Google Scholar 

  10. Ghadge A, Er Kara M, Moradlou H, Goswami M (2020) The impact of Industry 4.0 implementation on supply chains. J Manuf Technol Manage 31(4):669–686

    Google Scholar 

  11. Guan D, Wang D, Hallegatte S, Davis SJ, Huo J, Li S, Bai Y, Lei T, Xue Q, Coffman DM, Cheng D, Chen P, Liang X, Xu B, Lu X, Wang S, Hubacek K (2020) Global supply-chain effects of COVID-19 control measures. Nat Hum Behav 4(6):577–587. https://doi.org/10.1038/s41562-020-0896-8

    Article  Google Scholar 

  12. Gunasekaran A, Papadopoulos T, Dubey R, Fosso S, Childe SJ, Hazen B, Akter S (2017) Big data and predictive analytics for supply chain and organizational performance. J Bus Res 70:308–317. https://doi.org/10.1016/j.jbusres.2016.08.004

    Article  Google Scholar 

  13. Harland C, Brenchley R, Walker H (2003) Risk in supply networks. J Purch Supply Manag 9(2):51–62. https://doi.org/10.1016/S1478-4092(03)00004-9

    Article  Google Scholar 

  14. Ivanov D, Dolgui A (2020) A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0. Prod Plann Control, 1–14. https://doi.org/10.1080/09537287.2020.1768450

  15. Ivanov D, Sethi S, Dolgui A, Sokolov B (2018) A survey on control theory applications to operational systems, supply chain management, and Industry 4. 0 R. Annu Rev Control 46:134–147. https://doi.org/10.1016/j.arcontrol.2018.10.014

    Article  Google Scholar 

  16. Jüttner U, Peck H, Christopher M (2010) Supply chain risk management: outlining an agenda for future research. Int J Log Res Appl 6(4):197–210. https://doi.org/10.1080/13675560310001627016

    Article  Google Scholar 

  17. Kaur H, Singh SP (2021) Multi-stage hybrid model for supplier selection and order allocation considering disruption risks and disruptive technologies. Int J Prod Econ 231:107830. https://doi.org/10.1016/j.ijpe.2020.107830

    Article  Google Scholar 

  18. Lasi H, Fettke P, Kemper H-G, Feld T, Hoffman M (2014) Industry 4.0. Bus Inf Syst Eng 6(4):239–242. https://doi.org/10.1007/s12599-014-0334-4

  19. Lohmer J, Bugert N, Lasch R (2020) Analysis of resilience strategies and ripple effect in blockchain-coordinated supply chains: an agent-based simulation study. Int J Prod Econ 228:107882. https://doi.org/10.1016/j.ijpe.2020.107882

    Article  Google Scholar 

  20. Milwandhari S, Maniah (2020) Risk analysis of cloud computing in the logistics process. In: 2020 Third international conference on vocational education and electrical engineering (ICVEE), pp 1–5. https://doi.org/10.1109/ICVEE50212.2020.9243247

  21. Olson DL, Wu DD (2010) A review of enterprise risk management in supply chain. Kybernetes 39(5):694–706. https://doi.org/10.1108/03684921011043198

    Article  Google Scholar 

  22. Pandey S, Singh RK, Gunasekaran A, Kaushik A (2020) Cyber security risks in globalized supply chains: conceptual framework. J Glob Oper Strateg Sourcing 13(1):103–128. https://doi.org/10.1108/JGOSS-05-2019-0042

    Article  Google Scholar 

  23. Portna OV, Iershova NY, Tereshchenko DA, Kryvytska OR (2021) Economic business partnerships within Industry 4.0: new technologies in management. Montenegrin J Econ 17(1):151–163. https://doi.org/10.14254/1800-5845/2021.17-1.11

  24. Radanliev P, Roure DD, Page K, Nurse JRC, Montalvo RM, Santos O (2020) Cyber risk at the edge: current and future trends on cyber risk analytics and artificial intelligence in the industrial internet of things and Industry 4. 0 supply chains. Cybersecurity 3:1–21

    Article  Google Scholar 

  25. Rajagopal V, Venkatesan SP, Goh M (2017) Decision-making models for supply chain risk mitigation: a review. Comput Ind Eng 113:646–682. https://doi.org/10.1016/j.cie.2017.09.043

    Article  Google Scholar 

  26. Ralston P, Blackhurst J (2020) Industry 4.0 and resilience in the supply chain: a driver of capability enhancement or capability loss? Int J Prod Res 58(16):5006–5019. https://doi.org/10.1080/00207543.2020.1736724

  27. Raut RD, Gotmare A, Narkhede BE, Govindarajan UH, Bokade SU (2020) Enabling technologies for Industry 4.0 manufacturing and supply chain: concepts, current status, and adoption challenges. IEEE Eng Manage Rev 48(2):83–102. https://doi.org/10.1109/EMR.2020.2987884

  28. Raut RD, Kumar S, Narwane VS, Gardas BB, Priyadarshinee P, Narkhede BE (2019) Linking big data analytics and operational sustainability practices for sustainable business management. J Clean Prod 224:10–24. https://doi.org/10.1016/j.jclepro.2019.03.181

    Article  Google Scholar 

  29. Rifqi H, Zamma A, Souda Ben S (2021) Lean 4.0, Six Sigma-big data toward future industrial opportunities and challenges: a literature review. Advances on smart and soft computing, pp 201–210. https://doi.org/10.1007/978-981-15-6048-4

  30. Samvedi A, Jain V, Chan FTS (2013) Quantifying risks in a supply chain through integration of fuzzy AHP and fuzzy TOPSIS. Int J Prod Res 51(8):2433–2442. https://doi.org/10.1080/00207543.2012.741330

    Article  Google Scholar 

  31. Schlüter F (2017) A simulation based evaluation approach for supply chain risk management digitalization scenarios, pp 1–5. https://doi.org/10.1109/ICIMSA.2017.7985579

  32. Sobb T, Turnbull B, Moustafa N (2020) Supply Chain 4.0: a survey of cyber security challenges, solutions and future directions. Electronics 9(11):1–31. https://doi.org/10.3390/electronics9111864

  33. Symantec (2019) Internet security threat report, vol 24

    Google Scholar 

  34. Tagarev T (2020) Governance of collaborative networked organisations: stakeholder requirements. In: 2020 IEEE 11th International conference on dependable systems, services and technologies (DESSERT), pp 439–445

    Google Scholar 

  35. Trkman P, Mccormack K (2009) Supply chain risk in turbulent environments—a conceptual model for managing supply chain network risk. Int J Prod Econ 119(2):247–258. https://doi.org/10.1016/j.ijpe.2009.03.002

    Article  Google Scholar 

  36. Vieira AAC, Dias LMS, Santos MY, Pereira GAB, Oliveira JA (2020) Supply chain data integration: a literature review. J Ind Inf Integr 19(July):100161. https://doi.org/10.1016/j.jii.2020.100161

    Article  Google Scholar 

  37. Wu T, Blackhurst J, Chidambaram V (2006) A model for inbound supply risk analysis. Comput Ind 57(4):350–365. https://doi.org/10.1016/j.compind.2005.11.001

    Article  Google Scholar 

  38. Xu Z, Elomri A, Kerbache L, El Omri A (2020) Impacts of COVID-19 on global supply chains: facts and perspectives. IEEE Eng Manage Rev 48(3):153–166. https://doi.org/10.1109/EMR.2020.3018420

    Article  Google Scholar 

  39. Yildiz SC, Firat SU (2020) Türkiye’deki Üniversite Öğrencilerinin Endüstri 4.0 Bilgi Düzeylerinin Belirlenmesi. J Ind Eng 31, 1–16

    Google Scholar 

  40. Yildiz SC, Firat SU (2019) A study on Industry 4.0 awareness of undergraduate students by using structural equational modelling. International statistical congress, 4–8 October 2019, Bodrum, Muğla, Turkey, pp 639–651

    Google Scholar 

  41. Zekhnini K, Cherrafi A, Bouhaddou I, Benghabrit Y (2020) Analytic Hierarchy Process (AHP) for Supply Chain 4.0 risks management. In: International conference on artificial intelligence & industrial applications, pp 89–102

    Google Scholar 

  42. Zekhnini K, Cherrafi A, Bouhaddou I, Benghabrit Y (2019) Supply Chain 4.0 risk management: bibliometric analysis and a proposed framework. In: International conference on integrated design and production, pp 322–332

    Google Scholar 

  43. Zelbst PJ, Green KW Jr, Sower VE, Baker G (2010) RFID utilization and information sharing: the impact on supply chain performance. J Bus Ind Market 25(8):582–589. https://doi.org/10.1108/08858621011088310

  44. Zsidisin GA, Ritchie B (2009) Supply chain risk management—developments, issues and challenges. In: Zsidisin GA, Ritchie B (eds) Supply chain risk. International series in operations research & management science. Springer, Boston

    Google Scholar 

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Correspondence to Sevde Ceren Yildiz Ozenc .

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Yildiz Ozenc, S.C., Er, M., Firat, S.U. (2023). Risks in Supply Chain 4.0: A Literature Review Study. In: Calisir, F. (eds) Industrial Engineering in the Age of Business Intelligence. GJCIE 2021. Lecture Notes in Management and Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-08782-0_13

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  • DOI: https://doi.org/10.1007/978-3-031-08782-0_13

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