Supply Chain Management 4.0: A Literature Review and Research Framework



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Submitted Jan 2, 2022
Published Jan 24, 2022
10.24018/ejbmr.2022.7.1.1246

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Supply chain management is constantly evolving. The business world is transitioning from one paradigm to the next. In the corporate sector, supply chain 4.0 is the most recent trend. This article examines and analyses the existing state-of-the-art literature on Supply Chain Management 4.0 (SCM 4.0) and the interaction between digital technologies and Supply Chain Management. A bibliometric study and a literature assessment of state-of-the-art publications in the relevant topic were done. The impact of emerging technology on various supply chain operations is examined in this research. In addition, the study establishes a foundation for future research and practice. Because it describes the pillar components for any supply chain change, the suggested work is valuable for both academics and practitioners. It also suggests a set of study questions that might be utilized as a foundation for the field's future research. This research presents a fresh and original literature review-based study on SCM4.0, as there is currently no comprehensive evaluation accessible that includes bibliometric analysis, motives, impediments, and the impact of technologies on distinct SC processes.

Keywords: Advanced technologies, Industry 4.0, Innovation, MCDM, SCM4.0

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References

  1. Abdelkafi, N., & Pero, M. (2018). Supply chain innovation-driven business models: Exploratory analysis and implications for management. Business Process Management Journal, 24(2), 589–608. https://doi.org/10.1108/BPMJ-05-2016-0109.
     Google Scholar
  2. Addo-Tenkorang, R., & Helo, P. T. (2016). Big data applications in operations/supply-chain management: A literature review. Computers & Industrial Engineering, 101, 528–543. https://doi.org/10.1016/j.cie.2016.09.023.
     Google Scholar
  3. Agrawal, A., Horton, J., Lacetera, N., & Lyons, E. (2015). Digitization and the contract labor market: A research agenda. In Economic analysis of the digital economy (pp. 219–250). University of Chicago Press.
     Google Scholar
  4. Agrawal, S., Singh, R. K., & Murtaza, Q. (2015). A literature review and perspectives in reverse logistics. Resources, Conservation and Recycling, 97, 76–92.
     Google Scholar
  5. https://doi.org/10.1016/j.resconrec.2015.02.009.
     Google Scholar
  6. Al-Doori, J. A. (2019). The impact of supply chain collaboration on performance in automotive industry: Empirical evidence. Journal of Industrial Engineering and Management, 12(2), 241–253. https://doi.org/10.3926/jiem.2835.
     Google Scholar
  7. Alguliyev, R., Imamverdiyev, Y., & Sukhostat, L. (2018a). Cyber-physical systems and their security issues. Computers in Industry, 100, 212–223. https://doi.org/10.1016/j.compind.2018.04.017.
     Google Scholar
  8. Alguliyev, R., Imamverdiyev, Y., & Sukhostat, L. (2018b). Cyber-physical systems and their security issues. Computers in Industry, 100, 212–223. https://doi.org/10.1016/j.compind.2018.04.017.
     Google Scholar
  9. Almaazmi, J., Alshurideh, M., Al Kurdi, B., & Salloum, S. A. (2020). The Effect of Digital Transformation on Product Innovation: A Critical Review. International Conference on Advanced Intelligent Systems and Informatics, 731–741.
     Google Scholar
  10. Al-Mudimigh, A. S., Zairi, M., & Ahmed, A. M. M. (2004). Extending the concept of supply chain: International Journal of Production Economics, 87(3), 309–320.
     Google Scholar
  11. https://doi.org/10.1016/j.ijpe.2003.08.004.
     Google Scholar
  12. Ameri, F., & Patil, L. (2012). Digital manufacturing market: A semantic web-based framework for agile supply chain deployment. Journal of Intelligent Manufacturing, 23(5), 1817–1832. https://doi.org/10.1007/s10845-010-0495-z.
     Google Scholar
  13. Ardito, L., Petruzzelli, A. M., Panniello, U., & Garavelli, A. C. (2019). Towards Industry 4.0: Mapping digital technologies for supply chain management-marketing integration. Business Process Management Journal.
     Google Scholar
  14. Atzori, L., Iera, A., & Morabito, G. (2010). The Internet of Things: A survey. Computer Networks, 54(15), 2787–2805. https://doi.org/10.1016/j.comnet.2010.05.010.
     Google Scholar
  15. Azuma, R. T. (2017). Making Augmented Reality a Reality. Imaging and Applied Optics 2017 (3D, AIO, COSI, IS, MATH, PcAOP), JTu1F.1. https://doi.org/10.1364/3D.2017.JTu1F.1.
     Google Scholar
  16. Azzi, R., Chamoun, R. K., & Sokhn, M. (2019). The power of a blockchain-based supply chain. Computers & Industrial Engineering, 135, 582–592. https://doi.org/10.1016/j.cie.2019.06.042.
     Google Scholar
  17. Babiceanu, R. F., & Seker, R. (2016). Big Data and virtualization for manufacturing cyber-physical systems: A survey of the current status and future outlook. Computers in Industry, 81, 128–137. https://doi.org/10.1016/j.compind.2016.02.004.
     Google Scholar
  18. Backhaus, S. K. H., & Nadarajah, D. (2019). Investigating the relationship between industry 4.0 and productivity: A conceptual framework for Malaysian manufacturing firms. Procedía Computer Science, 161, 696–706.
     Google Scholar
  19. Bai, C., Dallasega, P., Orzes, G., & Sarkis, J. (2020). Industry 4.0 technologies assessment: A sustainability perspective. International Journal of Production Economics, 229, 107776. https://doi.org/10.1016/j.ijpe.2020.107776.
     Google Scholar
  20. Barholomae. (2018). Digital Transformation, International Competition and Specialization. 7.
     Google Scholar
  21. Ben-Daya, M., Hassini, E., & Bahroun, Z. (2019). Internet of things and supply chain management: A literature review. International Journal of Production Research, 57(15–16), 4719–4742. https://doi.org/10.1080/00207543.2017.1402140.
     Google Scholar
  22. Bhatti, Chandran, & Sundram. (2016). Supply chain practices and performance: The indirect effects of supply chain integration. https://www.emerald.com/insight/content/doi/10.1108/BIJ-03-2015-0023/full/html.
     Google Scholar
  23. Bieser, J. C., & Hilty, L. M. (2018). Assessing indirect environmental effects of information and communication technology (ICT): A systematic literature review. Sustainability, 10(8), 2662.
     Google Scholar
  24. Bu, L., Chen, C.-H., Zhang, G., Liu, B., Dong, G., & Yuan, X. (2020). A hybrid intelligence approach for sustainable service innovation of smart and connected product: A case study. Advanced Engineering Informatics, 46, 101163.
     Google Scholar
  25. Bukht, R., & Heeks, R. (2017). Defining, conceptualising and measuring the digital economy. Development Informatics Working Paper, 68.
     Google Scholar
  26. Carbone, V., & Gouvernal, E. (2007). Supply chain and supply chain management: Appropriate concepts for maritime studies. International Workshop on Ports, Cities and Global Supply Chains (2005: Hong Kong, China). https://trid.trb.org/view/859332.
     Google Scholar
  27. Carvalho, T. P., Soares, F. A. A. M. N., Vita, R., Francisco, R. da P., Basto, J. P., & Alcalá, S. G. S. (2019). A systematic literature review of machine learning methods applied to predictive maintenance. Computers & Industrial Engineering, 137, 106024. https://doi.org/10.1016/j.cie.2019.106024.
     Google Scholar
  28. Chernov, D., & Sornette, D. (2020). Specific Features of Risk Management in the Service Sector. In D. Chernov & D. Sornette (Eds.), Critical Risks of Different Economic Sectors: Based on the Analysis of More Than 500 Incidents, Accidents and Disasters (pp. 147–261). Springer International Publishing. https://doi.org/10.1007/978-3-030-25034-83.
     Google Scholar
  29. Chong, S., Pan, G.-T., Chin, J., Show, P., Yang, T., & Huang, C.-M. (2018a). Integration of 3D Printing and Industry 4.0 into Engineering Teaching. Sustainability, 10(11), 3960. https://doi.org/10.3390/su10113960.
     Google Scholar
  30. Chong, S., Pan, G.-T., Chin, J., Show, P., Yang, T., & Huang, C.-M. (2018b). Integration of 3D Printing and Industry 4.0 into Engineering Teaching. Sustainability, 10(11), 3960. https://doi.org/10.3390/su10113960.
     Google Scholar
  31. Christopher, M. (2005). Logistics and supply chain management: Creating value-added networks (3rd ed). FT Prentice Hall.
     Google Scholar
  32. Chukalov, K. (2017). Horizontal and vertical integration, as a requirement for cyber-physical systems in the context of industry 4.0. Industry 4.0, 2(4), 155–157.
     Google Scholar
  33. Degryse, C. (2016). Digitalisation of the economy and its impact on labour markets. ETUI Research Paper-Working Paper.
     Google Scholar
  34. Dengler, K., & Matthes, B. (2018). The impacts of digital transformation on the labour market: Substitution potentials of occupations in Germany. Technological Forecasting and Social Change, 137, 304–316.
     Google Scholar
  35. Dias, J. C. Q., Calado, J. M. F., Osório, A. L., & Morgado, L. F. (2009). RFID together with multi-agent systems to control global value chains. Annual Reviews in Control, 33(2), 185–195. https://doi.org/10.1016/j.arcontrol.2009.03.005
     Google Scholar
  36. Dijkman, R. M., Sprenkels, B., Peeters, T., & Janssen, A. (2015). Business models for the Internet of Things. International Journal of Information Management, 35(6), 672–678. https://doi.org/10.1016/j.ijinfomgt.2015.07.008.
     Google Scholar
  37. Ellis, M. E., & Aguirre-Urreta, M. I. (2016). Categorization of Technologies: Insights from the Technology Acceptance Literature. 11.
     Google Scholar
  38. Emelogu, A., Chowdhury, S., Marufuzzaman, M., & Bian, L. (2019). Distributed or centralized? A novel supply chain configuration of additively manufactured biomedical implants for southeastern US States. CIRP Journal of Manufacturing Science and Technology, 24, 17–34. https://doi.org/10.1016/j.cirpj.2018.12.001.
     Google Scholar
  39. Fernandes, A. C., Sampaio, P., Sameiro, M., & Truong, H. Q. (2017). Supply chain management and quality management integration: A conceptual model proposal. International Journal of Quality & Reliability Management, 34(1), 53–67. https://doi.org/10.1108/IJQRM-03-2015-0041.
     Google Scholar
  40. Finnemore, M., & Hollis, D. B. (2016). Constructing Norms for Global Cybersecurity. The American Journal of International Law, 110(3), 425–479.
     Google Scholar
  41. Gattorna, J. (2016). Dynamic Supply Chain Alignment: A New Business Model for Peak Performance in Enterprise Supply Chains Across All Geographies. CRC Press.
     Google Scholar
  42. Gebresenbet, G., Bosona, T., Olsson, S.-O., & Garcia, D. (2018). Smart system for the optimization of logistics performance of the pruning biomass value chain. Applied Sciences, 8(7), 1162.
     Google Scholar
  43. Ghobakhloo, M. (2018). The future of manufacturing industry: A strategic roadmap toward Industry 4.0. 27.
     Google Scholar
  44. Ghoreishi, M., & Happonen, A. (2020). Key enablers for deploying artificial intelligence for circular economy embracing sustainable product design: Three case studies. AIP Conference Proceedings, 2233(1), 050008.
     Google Scholar
  45. Gökalp, E., Şener, U., & Eren, P. E. (2017). Development of an Assessment Model for Industry 4.0: Industry 4.0-MM. In A. Mas, A. Mesquida, R. V. O’Connor, T. Rout, & A. Dorling (Eds.), Software Process Improvement and Capability Determination (Vol. 770, pp. 128–142). Springer International Publishing. https://doi.org/10.1007/978-3-319-67383-7_10.
     Google Scholar
  46. Kamble, S. S., Gunasekaran, A., & Gawankar, S. A. (2018a). Sustainable Industry 4.0 framework: A systematic literature review identifying the current trends and future perspectives. Process Safety and Environmental Protection, 117, 408–425.
     Google Scholar
  47. Kamble, S. S., Gunasekaran, A., & Gawankar, S. A. (2018b). Sustainable Industry 4.0 framework: A systematic literature review identifying the current trends and future perspectives. Process Safety and Environmental Protection, 117, 408–425. https://doi.org/10.1016/j.psep.2018.05.009.
     Google Scholar
  48. Kang, H. S., Lee, J. Y., Choi, S., Kim, H., Park, J. H., Son, J. Y., Kim, B. H., & Noh, S. D. (2016). Smart manufacturing: Past research, present findings, and future directions. International Journal of Precision Engineering and Manufacturing-Green Technology, 3(1), 111–128. https://doi.org/10.1007/s40684-016-0015-5.
     Google Scholar
  49. Khan, S., Haleem, A., & Khan, M. I. (2021). Assessment of risk in the management of Halal supply chain using fuzzy BWM method. Supply Chain Forum: An International Journal, 22(1), 57–73.
     Google Scholar
  50. Kumar, R., & Mishra, M. (2017). Manufacturing and supply chain flexibility: An integrated viewpoint. International Journal of Services and Operations Management, 27(3), 384–407. https://doi.org/10.1504/IJSOM.2017.084447.
     Google Scholar
  51. Kumar, V., & Reinartz, W. (2016). Creating Enduring Customer Value. Journal of Marketing, 80(6), 36–68. https://doi.org/10.1509/jm.15.0414.
     Google Scholar
  52. Lee, C. K. M., Lv, Y., Ng, K. K. H., Ho, W., & Choy, K. L. (2018). Design and application of Internet of things-based warehouse management system for smart logistics. International Journal of Production Research, 56(8), 2753–2768.
     Google Scholar
  53. Lee, J., Bagheri, B., & Kao, H.-A. (2015). A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems. Manufacturing Letters, 3, 18–23. https://doi.org/10.1016/j.mfglet.2014.12.001.
     Google Scholar
  54. Liu, T., Tang, H., & Xue, F. (2019). A Joint Adjustment System for Distributed Logistics Equipment. DEStech Transactions on Computer Science and Engineering, 0(aicae), Article aicae. https://doi.org/10.12783/dtcse/aicae2019/31479.
     Google Scholar
  55. Liu, Y., Peng, Y., Wang, B., Yao, S., & Liu, Z. (2017). Review on cyber-physical systems. IEEE/CAA Journal of Automatica Sinica, 4(1), 27–40. https://doi.org/10.1109/JAS.2017.7510349.
     Google Scholar
  56. Machado, C. G., Winroth, M., Carlsson, D., Almström, P., Centerholt, V., & Hallin, M. (2019). Industry 4.0 readiness in manufacturing companies: Challenges and enablers towards increased digitalization. Procedia CIRP, 81, 1113–1118. https://doi.org/10.1016/j.procir.2019.03.262.
     Google Scholar
  57. Mackay, J., Munoz, A., & Pepper, M. (2020). Conceptualising redundancy and flexibility towards supply chain robustness and resilience. Journal of Risk Research, 23(12), 1541–1561. https://doi.org/10.1080/13669877.2019.1694964.
     Google Scholar
  58. Mahdavifar, S., & Ghorbani, A. A. (2019). Application of deep learning to cybersecurity: A survey. Neurocomputing, 347, 149–176. https://doi.org/10.1016/j.neucom.2019.02.056.
     Google Scholar
  59. Maresova, P., Soukal, I., Svobodova, L., Hedvicakova, M., Javanmardi, E., Selamat, A., & Krejcar, O. (2018). Consequences of industry 4.0 in business and economics. Economies, 6(3), 46.
     Google Scholar
  60. Mourtzis, D., Siatras, V., & Angelopoulos, J. (2020). Real-Time Remote Maintenance Support Based on Augmented Reality (AR). Applied Sciences, 10(5), 1855. https://doi.org/10.3390/app10051855.
     Google Scholar
  61. Palang, D., & Tippayawong, K. Y. (2019). Performance evaluation of tourism supply chain management: The case of Thailand. Business Process Management Journal, 25(6), 1193–1207. https://doi.org/10.1108/BPMJ-05-2017-0124.
     Google Scholar
  62. Pham, H. (2018). The impact of Blockchain Technology on the improvement of Food Supply Chain Management: Transparency and Traceability: A case study of Walmart and Atria [Fi=AMK-opinnäytetyö|sv=YH-examensarbete|en=Bachelor’s thesis|]. Seinäjoen ammattikorkeakoulu. http://www.theseus.fi/handle/10024/157299.
     Google Scholar
  63. Porter, M. E., & Heppelmann, J. E. (2014). How Smart, Connected Products Are Transforming Competition. 23.
     Google Scholar
  64. Quarshie, A. M., Salmi, A., & Leuschner, R. (2016). Sustainability and corporate social responsibility in supply chains: The state of research in supply chain management and business ethics journals. Journal of Purchasing and Supply Management, 22(2), 82–97. https://doi.org/10.1016/j.pursup.2015.11.001.
     Google Scholar
  65. Ramanathan, R., Ramanathan, U., & Ko, L. W. L. (2014). Adoption of RFID technologies in UK logistics: Moderating roles of size, barcode experience and government support. Expert Systems with Applications, 41(1), 230–236. https://doi.org/10.1016/j.eswa.2013.07.024.
     Google Scholar
  66. Rashid, A., & Tjahjono, B. (2016). Achieving manufacturing excellence through the integration of enterprise systems and simulation. Production Planning & Control, 27(10), 837–852.
     Google Scholar
  67. Reis, J., Amorim, M., Melão, N., & Matos, P. (2018). Digital transformation: A literature review and guidelines for future research. World Conference on Information Systems and Technologies, 411–421.
     Google Scholar
  68. Rindfleisch, A., O’Hern, M., & Sachdev, V. (2017). The digital revolution, 3D printing, and innovation as data. Journal of Product Innovation Management, 34(5), 681–690.
     Google Scholar
  69. Siedler, C., Langlotz, P., & Aurich, J. C. (2019). Identification of interactions between digital technologies in manufacturing systems. Procedia CIRP, 81, 115–120. https://doi.org/10.1016/j.procir.2019.03.021.
     Google Scholar
  70. Spillan, J. E., Mintu-Wimsatt, A., & Kara, A. (2018). Role of logistics strategy, coordination and customer service commitment on Chinese manufacturing firm competitiveness. Asia Pacific Journal of Marketing and Logistics, 30(5), 1365–1378. https://doi.org/10.1108/APJML-09-2017-0224.
     Google Scholar
  71. Stock, T., & Seliger, G. (2016). Opportunities of Sustainable Manufacturing in Industry 4.0. Procedia CIRP, 40, 536–541. https://doi.org/10.1016/j.procir.2016.01.129.
     Google Scholar
  72. Tien, N. H., Anh, D. H., & Thuc, T. D. (2019). Global Supply Chain And Logistics Management. 2019, 176.
     Google Scholar
  73. Vatovec, E. (2011). Intelligent Value Chain Networks: Business Intelligence and Other ICT Tools and Technologies in Supply/Demand Chains. In S. Renko (Ed.), Supply Chain Management — New Perspectives. InTech.
     Google Scholar
  74. https://doi.org/10.5772/18850.
     Google Scholar
  75. Wu, H., Li, Z., King, B., Ben Miled, Z., Wassick, J., & Tazelaar, J. (2017). A distributed ledger for supply chain physical distribution visibility. Information, 8(4), 137.
     Google Scholar
  76. Wu, I.-L., Chuang, C.-H., & Hsu, C.-H. (2014). Information sharing and collaborative behaviors in enabling supply chain performance: A social exchange perspective. International Journal of Production Economics, 148, 122–132. https://doi.org/10.1016/j.ijpe.2013.09.016.
     Google Scholar
  77. Xue, L., Liu, G., Parfitt, J., Liu, X., Van Herpen, E., Stenmarck, AAsa, O’Connor, C., Östergren, K., & Cheng, S. (2017). Missing food, missing data? A critical review of global food losses and food waste data. Environmental Science & Technology, 51(12), 6618–6633.
     Google Scholar
  78. Yaacoub, J.-P. A., Salman, O., Noura, H. N., Kaaniche, N., Chehab, A., & Malli, M. (2020). Cyber-physical systems security: Limitations, issues and future trends. Microprocessors and Microsystems, 77, 103201. https://doi.org/10.1016/j.micpro.2020.103201.
     Google Scholar
  79. Zare Mehrjerdi, Y. (2009). Excellent supply chain management. Assembly Automation, 29(1), 52–60.
     Google Scholar
  80. https://doi.org/10.1108/01445150910929866.
     Google Scholar
  81. Zheng, Y., Ren, D., Guo, Z., Hu, Z., & Wen, Q. (2019). Research on integrated resource strategic planning based on complex uncertainty simulation with case study of China. Energy, 180, 772–786.
     Google Scholar
  82. Zhong, Y., Fangfang, G., Tang, H., & Chen, X. (2020). Research on Coordination Complexity of E-Commerce Logistics Service Supply Chain. https://www.hindawi.com/journals/complexity/2020/7031543/.
     Google Scholar