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
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
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
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
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
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
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
Ferrantino MJ, Koten EE (2019) Understanding Supply Chain 4.0 and its potential impact on global value chains. Global Value Chain Development Report
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
Fırat SÜ (2017) Sanayi 4.0 Dönüşümü Nedir? Belirlemeler ve Beklentiler. Global Sanayici: Ekonomi ve İş Dünyası Dergisi ÇOSB Yayını
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Symantec (2019) Internet security threat report, vol 24
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
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
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
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
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
Yildiz SC, Firat SU (2020) Türkiye’deki Üniversite Öğrencilerinin Endüstri 4.0 Bilgi Düzeylerinin Belirlenmesi. J Ind Eng 31, 1–16
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
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
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
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
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
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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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